All publications of the team can be found on Hal.
2024 [75 publications]
2024
Conference Articles
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Run-Time Adaptation of Neural Beamforming for Robust Speech Dereverberation and Denoising
Yoto Fujita, Aditya Arie Nugraha, Diego Di Carlo, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii
2024 APSIPA : Asia-Pacific Signal and Information Processing Association, Macau China, China, December 2024.
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Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
David Perera, Victor Letzelter, Théo Mariotte, Adrien Cortés, Mickael Chen, Slim Essid, Gaël Richard
NeurIPS 2024 : 38th Conference on Neural Information Processing Systems, Vancouver, Canada, December 2024.
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A Contrastive Self-Supervised Learning scheme for beat tracking amenable to few-shot learning
Antonin Gagnere, Geoffroy Peeters, Slim Essid
ISMIR 2024 : 25th International Society for Music Information Retrieval (ISMIR) Conference Onsite and Virtual, San Francisco, Californ, United States, November 2024.
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Using Pairwise Link Prediction and Graph Attention Networks for Music Structure Analysis
Morgan Buisson, Brian Mcfee, Slim Essid
25th International Society for Music Information Retrieval (ISMIR) (2024), San Francisco (CA), United States, November 2024.
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Zero-Shot Structure Labeling with Audio And Language Model Embeddings
Morgan Buisson, Christopher Ick, Tom Xi, Brian McFee
Extended Abstracts for the Late-Breaking Demo Session of the 25th International Society for Music Information Retrieval Conference (ISMIR), San Francisco California, United States, November 2024.
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SALT: STANDARDIZED AUDIO EVENT LABEL TAXONOMY
Paraskevas Stamatiadis, Michel Olvera, Slim Essid
DCASE, Tokyo, Japan, October 2024.
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A SOUND DESCRIPTION: EXPLORING PROMPT TEMPLATES AND CLASS DESCRIPTIONS TO ENHANCE ZERO-SHOT AUDIO CLASSIFICATION
Michel Olvera, Paraskevas Stamatiadis, Slim Essid
DCASE 2024 - 9th Workshop on Detection and Classification of Acoustic Scenes and Events, Tokyo, Japan, October 2024.
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Socio-Emotional Response Generation: A Human Evaluation Protocol for LLM-Based Conversational Systems
Lorraine Vanel, Ariel R. Ramos Vela, Alya Yacoubi, Chloé Clavel
AHRI 2024, Glasgow, United Kingdom, September 2024.
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EPISODIC FINE-TUNING PROTOTYPICAL NETWORKS FOR OPTIMIZATION-BASED FEW-SHOT LEARNING: APPLICATION TO AUDIO CLASSIFICATION
Xuanyu Zhuang, Geoffroy Peeters, Gaël Richard
2024 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2024), London (UK), United Kingdom, September 2024. Accepted at ....
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WaveTransfer: A Flexible End-to-end Multi-instrument Timbre Transfer with Diffusion
Teysir Baoueb, Xiaoyu Bie, Hicham Janati, Gael Richard
2024 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2024), London (UK), United Kingdom, September 2024. Accepted at ....
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RIR-in-a-Box: Estimating Room Acoustics from 3D Mesh Data through Shoebox Approximation
Liam Kelley, Diego Di Carlo, Aditya Arie Nugraha, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii
INTERSPEECH, Kos International Convention Center, Kos Island, Greece, September 2024.
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Explainable by-design Audio Segmentation through Non-Negative Matrix Factorization and Probing
Martin Lebourdais, Théo Mariotte, Antonio Almudévar, Marie Tahon, Alfonso Ortega
Interspeech 2024, Kos / Greece, France, September 2024.
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Speech dereverberation constrained on room impulse response characteristics
Louis Bahrman, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard
INTERSPEECH, Kos Island, Greece, September 2024.
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Multifrequency Highly Oscillating Aperiodic Amplitude Estimation for Nonlinear Chirp Signal
Anton Emelchenkov, Mathieu Fontaine, Yves Grenier, Hervé Mahé, François Roueff
European Signal Processing Conference (EUSIPCO), Lyon, France, August 2024.
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Invariance-based layer regularization for sound event detection
David Perera, Slim Essid, Richard Gaël
European Signal Processing Conference, Lyon, France, August 2024.
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Using Random Codebooks for Audio Neural AutoEncoders
Benoît Giniès, Xiaoyu Bie, Olivier Fercoq, Gaël Richard
EUROPEAN SIGNAL PROCESSING CONFERENCE 2024 [EUSIPCO], Lyon, France, August 2024.
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How Does Distributed Denial of Service Affect the Connected Cars Environment?
Ayoub Wehby, Sherali Zeadally, Rida Khatoun, Mohammed Bouchouia, Ahmad Fadlallah
International Conference on Control, Decision and Information Technologies (CoDIT’2024), Valletta, Malta, July 2024.
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Winner-takes-all learners are geometry-aware conditional density estimators
Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gael Richard, Patrick Pérez
International Conference on Machine Learning, Vienne (Autriche), Austria, July 2024.
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Mapping AI ethics: a meso-scale analysis of its charters and manifestos
Mélanie Gornet, Simon Delarue, Maria Boritchev, Tiphaine Viard
FAccT ’24: The 2024 ACM Conference on Fairness, Accountability, and Transparency, Rio de Janeiro, Brazil, June 2024.
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The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text
Yanzhu Guo, Guokan Shang, Michalis Vazirgiannis, Chloé Clavel
NAACL 2024 Findings - Annual Conference of the North American Chapter of the Association for Computational Linguistics, Mexico City, Mexico, June 2024. Accepted to ....
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MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification
Chadi Helwe, Tom Calamai, Pierre-Henri Paris, Fabian M. Suchanek, Chloé Clavel
NAACL, Mexico City, Mexico, June 2024.
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MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification
Chadi Helwe, Tom Calamai, Pierre-Henri Paris, Chloé Clavel, Fabian M Suchanek
NAACL 2024 - North American Chapter of the Association for Computational Linguistics, Mexico City, Mexico, June 2024.
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Collaborating Foundation Models for Domain Generalized Semantic Segmentation
Yasser Benigmim, Subhankar Roy, Slim Essid, Vicky Kalogeiton, Stéphane Lathuilière
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle (USA), United States, June 2024. https://gith....
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Multimodal models of repair in social human-agent interactions
Anh Ngo, Chloé Clavel, Catherine Pelachaud, Nicolas Rollet
WACAI 2024: Workshop Affect, Compagnons Artificiels et Interactions, Bordeaux, France, June 2024.
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Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels
Tamim El Ahmad, Luc Brogat-Motte, Pierre Laforgue, Florence d’Alché-Buc
27th International Conference on Artificial Intelligence and Statistics (AISTATS), Valencia, Spain, May 2024.
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Embodied exploration of deep latent spaces in interactive dance-music performance
Sarah Nabi, Philippe Esling, Geoffroy Peeters, Frédéric Bevilacqua
9th International Conference on Movement and Computing (MOCO ’24), Utrecht, Netherlands, May 2024.
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Adapting Pitch-Based Self Supervised Learning Models for Tempo Estimation
Antonin Gagneré, Slim Essid, Geoffroy Peeters
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, South Korea, April 2024.
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Unsupervised Harmonic Parameter Estimation Using Differentiable DSP and Spectral Optimal Transport
Bernardo Torres, Geoffroy Peeters, Gaël Richard
IEEE International Conference on Acoustics, Speech and Signal Processing, Seoul, South Korea, April 2024. Accepted in ....
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GLA-Grad: A Griffin-Lim Extended Waveform Generation Diffusion Model
Haocheng Liu, Teysir Baoueb, Mathieu Fontaine, Jonathan Le Roux, Gael Richard
IEEE International Conference on Acoustics, Speech and Signal Processing, Seoul (Korea), South Korea, April 2024. Accepted at ....
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ON THE CHOICE OF THE OPTIMAL TEMPORAL SUPPORT FOR AUDIO CLASSIFICATION WITH PRE-TRAINED EMBEDDINGS
Aurian Quelennec, Michel Olvera, Geoffroy Peeters, Slim Essid
ICASSP, Séoul, South Korea, April 2024.
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Blind estimation of audio effects using an auto-encoder approach and differentiable digital signal processing
Côme Peladeau, Geoffroy Peeters
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, South Korea, April 2024.
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NEURAL STEERER: NOVEL STEERING VECTOR SYNTHESIS WITH A CAUSAL NEURAL FIELD OVER FREQUENCY AND DIRECTION
Diego Di Carlo, Aditya Arie Nugraha, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii
ICASSP, Seoul (Korea), South Korea, April 2024.
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SpecDiff-GAN: A Spectrally-Shaped Noise Diffusion GAN for Speech and Music Synthesis
Teysir Baoueb, Haocheng Liu, Mathieu Fontaine, Jonathan Le Roux, Gael Richard
IEEE International Conference on Acoustics, Speech and Signal Processing, Seoul (Korea), South Korea, April 2024. Accepted at ....
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ONLINE SPEAKER DIARIZATION OF MEETINGS GUIDED BY SPEECH SEPARATION
Elio Gruttadauria, Mathieu Fontaine, Slim Essid
IEEE International Conference on Acoustics, Speech, and Signal Processing, Seoul (Korea), South Korea, April 2024. Accepted at ....
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A fully differentiable model for unsupervised singing voice separation
Gael Richard, Pierre Chouteau, Bernardo Torres
IEEE International Conference on Acoustics, Speech, and Signal Processing, Seoul, South Korea, April 2024.
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Structure-informed Positional Encoding for Music Generation
Manvi Agarwal, Changhong Wang, Gaël Richard
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, South Korea, April 2024.
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Variational Perspective on Fair Edge Prediction
Antoine Gourru, Charlotte Laclau, Manvi Choudhary, Christine Largeron
International Symposium on Intelligent Data Analysis, Stockholm, Sweden, April 2024.
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A LIGHTWEIGHT DUAL-STAGE FRAMEWORK FOR PERSONALIZED SPEECH ENHANCEMENT BASED ON DEEPFILTERNET2
Thomas Serre, Mathieu Fontaine, Éric Benhaim, Geoffroy Dutour, Slim Essid
ICASSP, Seoul (Korea), South Korea, April 2024. Accepted at ....
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A Study on Hierarchical Text Classification as a Seq2seq Task
Fatos Torba, Christophe Gravier, Charlotte Laclau, Abderrhammen Kammoun, Julien Subercaze
46th European Conference on Information Retrieval (ECIR 2024), GLASGOW, United Kingdom, March 2024.
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Interpretive flexibility in data science and artificial intelligence
Tiphaine Viard, Mélanie Gornet, Simon Delarue
Undone Computer Science, Nantes, France, February 2024.
Unpublished
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Defining Lyapunov functions as the solution of a performance estimation saddle point problem
Olivier Fercoq
November 2024. working pape....
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Learning with Importance Weighted Variational Inference: Asymptotics for Gradient Estimators of the VR-IWAE Bound
Kamélia Daudel, François Roueff
October 2024. working pape....
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STOCHASTIC MIRROR DESCENT FOR NONPARAMETRIC ADAPTIVE IMPORTANCE SAMPLING
Pascal Bianchi, Bernard Delyon, François Portier, Victor Priser
September 2024. working pape....
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Reconstructing the Unseen: GRIOT for Attributed Graph Imputation with Optimal Transport
Richard Serrano, Charlotte Laclau, Baptiste Jeudy, Christine Largeron
August 2024. working pape....
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Regenerative bootstrap for β-null recurrent Markov chains
Carlos Fernández
July 2024. Submitted to....
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Minimax optimal seriation in polynomial time
Yann Issartel, Christophe Giraud, Nicolas Verzelen
May 2024. working pape....
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Long run convergence of discrete-time interacting particle systems of the McKean-Vlasov type
Pascal Bianchi, Walid Hachem, Victor Priser
April 2024. working pape....
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Monitoring the Convergence Speed of PDHG to Find Better Primal and Dual Step Sizes
Olivier Fercoq
March 2024. working pape....
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The Smoothed Duality Gap as a Stopping Criterion
Iyad Walwil, Olivier Fercoq
March 2024. working pape....
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Importance sampling for online variational learning
Mathis Chagneux, Pierre Gloaguen, Sylvain Le Corff, Jimmy Olsson
February 2024. working pape....
Theses
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Statistical learning for multivariate and functional extremes
Nathan Huet
November 2024.
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Evaluating and Improving the Reasoning Abilities of Language Models
Chadi Helwe
July 2024.
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Learning deep kernel networks : application to efficient and robust structured prediction
Tamim El Ahmad
July 2024.
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Informed Speech Self-supervised Representation Learning
Mohamed Salah Zaiem
March 2024.
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A Statistical analysis of algorithms dedicated for rare events
Anass Aghbalou
February 2024.
Journal Articles
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An Eye for an Ear: Zero-shot Audio Description Leveraging an Image Captioner using Audiovisual Distribution Alignment
Hugo Malard, Michel Olvera, Stéphane Lathuiliere, Slim Essid
Advances in Neural Information Processing Systems, October 2024.
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Mixture of segmentation for heterogeneous functional data
Vincent Brault, Emilie Devijver, Charlotte Laclau
Electronic Journal of Statistics , September 2024.
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Do Language Models Enjoy Their Own Stories? Prompting Large Language Models for Automatic Story Evaluation
Cyril Chhun, Fabian M. Suchanek, Chloé Clavel
Transactions of the Association for Computational Linguistics, September 2024. TACL, pre-MI....
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Regular variation in Hilbert spaces and principal component analysis for functional extremes
Stéphan Clémençon, Nathan Huet, Anne Sabourin
Stochastic Processes and their Applications, August 2024.
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Statistical wave field theory
Roland Badeau
Journal of the Acoustical Society of America, July 2024.
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Electroencephalography Response during an Incremental Test According to the V̇O2max Plateau Incidence
Véronique Billat, Christian Berthomier, Michel Clémençon, Marie Brandewinder, Slim Essid, Cécilia Damon, François Rigaud, Alexis Bénichoux, Emmanuel Maby, Lesly Fornoni, Patrick Bouchet, Pascal Beers, Bertrand Massot, Patrice Revol, Luc Poinsard, Thomas Creveaux, Christian Collet, Jérémie Mattout, Vincent Pialoux
Applied Sciences, June 2024.
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The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations
Aina Garí Soler, Matthieu Labeau, Chloé Clavel
Transactions of the Association for Computational Linguistics, April 2024.
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Absorptive nature of scattering coefficients in stress-energy tensor formalism for room acoustics
Jean-Dominique Polack, Hugo Dujourdy, Roland Badeau
Journal of the Acoustical Society of America, April 2024.
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Pair-Matching: Link Prediction with Adaptive Queries
Christophe Giraud, Yann Issartel, Luc Lehericy, Matthieu Lerasle
Mathematical Statistics and Learning, March 2024.
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Modeling the Interplay Between Cohesion Dimensions: a Challenge for Group Affective Emergent States
Lucien Maman, Nale Lehmann- Willenbrock, Mohamed Chetouani, Laurence Likforman-Sulem, Giovanna Varni
IEEE Transactions on Affective Computing, January 2024.
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Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization
Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Gael Richard, Florence d’Alché-Buc
IEEE/ACM Transactions on Audio, Speech and Language Processing, January 2024.
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On the importance of wind predictions in wake steering optimization
Elie Kadoche, Pascal Bianchi, Florence Carton, Philippe Ciblat, Damien Ernst
Wind Energy Science, January 2024.
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The European approach to regulating AI through technical standards
Mélanie Gornet, Winston Maxwell
Internet Policy Review, 2024.
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Stochastic Subgradient Descent Escapes Active Strict Saddles on Weakly Convex Functions
Pascal Bianchi, Walid Hachem, Sholom Schechtman
Mathematics of Operations Research, 2024. Accepted for....
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New penalized criteria for smooth non-negative tensor factorization with missing entries
Amaury Durand, François Roueff, Jean-Marc Jicquel, Nicolas Paul
IEEE Transactions on Signal Processing, 2024.
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Model-Based Deep Learning for Music Information Research
Gael Richard, Vincent Lostanlen, Yi-Hsuan Yang, Meinard Müller
IEEE Signal Processing Magazine, 2024.
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Self-Supervised Learning of Multi-level Audio Representations for Music Segmentation
Morgan Buisson, Brian Mcfee, Slim Essid, Hélène Crayencour
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2024.
Technical Reports
proceedings
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On Ranking-based Tests of Independence
Myrto Limnios, Stéphan Clémençon
International Conference on Artificial Intelligence and Statistics, 2024.
2023
Unpublished
2023 [91 publications]
2024
Unpublished
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Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks
Pierre Colombo, Anas Himmi, Ekhine Irurozki, Nathan Noiry, Stéphan Clémençon
May 2024. working pape....
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Tailoring Mixup to Data using Kernel Warping functions
Quentin Bouniot, Pavlo Mozharovskyi, Florence d’Alché-Buc
April 2024. working pape....
2023
proceedings
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Unbalanced CO-Optimal Transport
Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
Thirty-Seventh AAAI Conference on Artificial Intelligence, June 2023.
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Locally differentially private estimation of nonlinear functionals of discrete distributions
Cristina Butucea, Yann Issartel
NeurIPS 2021 : Thirty-fifth Annual Conference on Neural Information Processing Systems, 2023.
Conference Articles
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Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, Gael Richard
Advances in neural information processing systems, New Orleans, United States, December 2023.
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Active Bipartite Ranking
James Cheshire, Stéphan Clémençon, Vincent Laurent
Thirty-seventh Annual Conference on Neural Information Processing Systems, New Orleans, United States, December 2023.
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Fair Text Classification with Wasserstein Independence
Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier
2023 Conference on Empirical Methods in Natural Language Processing, Singapore, Singapore, December 2023.
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Toward Stronger Textual Attack Detectors
Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapour, Singapore, December 2023.
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Automatic Analysis of Substantiation in Scientific Peer Reviews
Yanzhu Guo, Guokan Shang, Virgile Rennard, Michalis Vazirgiannis, Chloé Clavel
Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore (SG), Singapore, December 2023.
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Comparing a Mentalist and an Interactionist Approach for Trust Analysis in Human-Robot Interaction
Marc Hulcelle, Giovanna Varni, Nicolas Rollet, Chloé Clavel
HAI ’23: International Conference on Human-Agent Interaction, Gothenburg, Sweden, December 2023.
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Singer Identity Representation Learning using Self-Supervised Techniques
Bernardo Torres, Stefan Lattner, Gael Richard
International Society for Music Information Retrieval Conference (ISMIR 2023), Milan, Italy, November 2023.
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A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification
Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
IJCNLP-AACL 2023 : The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, Nusa Dua, Bali, Indonesia, November 2023.
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THE HI-AUDIO ONLINE PLATFORM FOR DISTRIBUTED MUSIC CROWDSOURCING DATABASE COLLECTION
Jose Manuel Gil Panal, Aurélien David, Gael Richard
Late Breaking Demo - International Society for Music Information Retrieval Conference (ISMIR), Milan (Italie), Italy, November 2023.
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A Repetition-based Triplet Mining Approach for Music Segmentation
Morgan Buisson, Brian Mcfee, Slim Essid, Helene-Camille Crayencour
International Society for Music Information Retrieval (ISMIR), Milan, Italy, November 2023.
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Self-Similarity-Based and Novelty-based loss for music structure analysis
Geoffroy Peeters
Conference of the International Society for Music Information Retrieval, Milano, Italy, November 2023.
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PESTO: Pitch Estimation with Self-supervised Transposition-equivariant Objective
Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters
International Society for Music Information Retrieval Conference (ISMIR 2023), Milan, Italy, November 2023.
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Transfer Learning and Bias Correction with Pre-trained Audio Embeddings
Changhong Wang, Gaël Richard, Brian Mcfee
The 24th conference of the International Society for Music Information Retrieval (ISMIR), Milan, Italy, November 2023.
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Dodging the Double Descent in Deep Neural Networks
Victor Quétu, Enzo Tartaglione
2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, October 2023.
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Time-Domain Audio Source Separation Based on Gaussian Processes with Deep Kernel Learning
Aditya Arie Nugraha, Diego Di Carlo, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii
WASPAA, New Paltz, France, October 2023.
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Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?
Zhu Liao, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, Paris, France, October 2023.
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The Robust Semantic Segmentation UNCV2023 Challenge Results
Xuanlong Yu, Juan C Sanmiguel, Xiaowen Zhang, Marcos Escudero-Viñolo, Rui Peng, Hanlin Tian, Xinyi Wang, Kenta Matsui, Jiaxuan Zhao, Tianhao Wang, Junpei Zhang, Fahmy Adan, Zitao Wang, Zhitong Gao, Xuming He, Yuting Yang, Quentin Bouniot, Fang Liu, Hossein Moghaddam, Yi Zuo, Shyam Nandan Rai, Kexin Zhang, Fabio Cermelli, Roberto Alcover-Couso, Carlo Masone, Licheng Jiao, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi
2023 IEEE/CVF International Conference on Computer Vision (ICCVW) Workshops, Paris, France, October 2023.
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Insights Into the Importance of Linguistic Textual Features on the Persuasiveness of Public Speaking
Alisa Barkar, Mathieu Chollet, Beatrice Biancardi, Chloe Clavel
iCMI 2023: 25th International Conference on Multimodal Interaction, Paris, France, October 2023.
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Overview of Touché 2023: Argument and Causal Retrieval
Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Ferdinand Schlatt, Valentin Barriere, Brian Ravenet, Léo Hemamou, Simon Luck, Jan Heinrich Reimer, Benno Stein, Martin Potthast, Matthias Hagen
14th Conference and Labs of Evaluation Forum, Thessalokini, Greece, September 2023.
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When to generate hedges in peer-tutoring interactions
Alafate Abulimiti, Chloé Clavel, Justine Cassell
SIGDIAL - 24th Meeting of the Special Interest Group on Discourse and Dialogue, Prague, Czech Republic, September 2023. In Proceedin....
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Signal Inpainting from Fourier Magnitudes
Louis Bahrman, Marina Krémé, Paul Magron, Antoine Deleforge
EUSIPCO 2023, Helsinki, Finland, September 2023.
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Study of historical Byzantine seal images: the BHAI project for computer-based sigillography
Victoria Eyharabide, Laurence Likforman-Sulem, Lucia Maria Orlandi, Alexandre Binoux, Theophile Rageau, Qijia Huang, Attilio Fiandrotti, Béatrice Caseau, Isabelle Bloch
ICDAR 2023 International Workshop on Historical Document Imaging and Processing (7th edition) (HIP’23), San José, CA, United States, August 2023.
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Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?
Salah Zaiem, Youcef Kemiche, Titouan Parcollet, Slim Essid, Mirco Ravanelli
INTERSPEECH 2023, Dublin, Ireland, August 2023.
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Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations
Salah Zaiem, Titouan Parcollet, Slim Essid
INTERSPEECH 2023, Dublin (Ireland), Ireland, August 2023.
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Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues
Ekhine Irurozki, Morgane Goibert, Clément Calauzènes, Stéphan Clémençon
Proceedings of the 40 th International Conference on Machine Learning, Honolulu, United States, July 2023.
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How About Kind of Generating Hedges using End-to-End Neural Models?
Alafate Abulimiti, Chloé Clavel, Justine Cassell
61st Annual Meeting of the Association for Computational Linguistics, Toronto, Canada, July 2023.
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Optimized preprocessing and Tiny ML for Attention State Classification
Yinghao Wang, Rémi Nahon, Enzo Tartaglione, Pavlo Mozharovskyi, Van-Tam Nguyen
2023 IEEE Statistical Signal Processing Workshop (SSP), Hanoi, Vietnam, July 2023.
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Measuring Lexico-Semantic Alignment in Debates with Contextualized Word Representations
Aina Garí Soler, Matthieu Labeau, Chloé Clavel
Proceedings of the First Workshop on Social Influence in Conversations (SICon 2023), Toronto, Canada, July 2023.
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Participation de l’équipe TTGV à DEFT 2023 : Réponse automatique à des QCM issus d’examens en pharmacie
Andréa Blivet, Solène Degrutère, Barbara Gendron, Aurélien Renault, Cyrille Siouffi, Vanessa Gaudray Bouju, Christophe Cerisara, Hélène Flamein, Gaël Guibon, Matthieu Labeau, Tom Rousseau
CORIA TALN RJCRI RECITAL 2023, Paris, France, June 2023.
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Un mot, deux facettes : traces des opinions dans les représentations contextualisées des mots
Aina Garí Soler, Matthieu Labeau, Chloe Clavel
18e Conférence en Recherche d’Information et Applications – 16e Rencontres Jeunes Chercheurs en RI – 30e Conférence sur le Traitement Automatique des Langues Naturelles – 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, Paris, France, June 2023.
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Protocole d’annotation multi-label pour une nouvelle approche à la génération de réponse socio-émotionnelle orientée-tâche
Lorraine Vanel, Alya Yacoubi, Chloe Clavel
18e Conférence en Recherche d’Information et Applications – 16e Rencontres Jeunes Chercheurs en RI – 30e Conférence sur le Traitement Automatique des Langues Naturelles – 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, Paris, France, June 2023.
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Cosmopolite Sound Monitoring (CoSMo): A Study of Urban Sound Event Detection Systems Generalizing to Multiple Cities
Florian Angulo, Slim Essid, Geoffroy Peeters, Christophe Mietlicki
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, June 2023. Copyright 20....
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Explainable Audio Classification of Playing Techniques with Layer-wise Relevance Propagation
Changhong Wang, Vincent Lostanlen, Mathieu Lagrange
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes, Greece, June 2023.
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An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data
Gaël Guibon, Matthieu Labeau, Luce Lefeuvre, Chloé Clavel
Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington DC, United States, June 2023.
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LEARNING INTERPRETABLE FILTERS IN WAV-UNET FOR SPEECH ENHANCEMENT
Félix Mathieu, Thomas Courtat, Gael Richard, Geoffroy Peeters
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes, Greece, June 2023.
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Fine-tuning strategies for faster inference using speech self-supervised models: a comparative study
Salah Zaiem, Robin Algayres, Titouan Parcollet, Slim Essid, Mirco Ravanelli
ICASSP 2023 - International Conference on Acoustics, Speech, and Signal Processing, Rhodes, Greece, June 2023.
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Fast and accurate nonlinear interference in-band spectrum prediction for sparse channel allocation
Isaia Andrenacci, Matteo Lonardi, Petros Ramantanis, Elie Awwad, Ekhine Irurozki, Stéphan Clémençon
27th International Conference on Optical Network Design and Modelling (ONDM 2023), Coimbra, Portugal, May 2023.
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Introducing the 3MT_French Dataset
Beatrice Biancardi, Mathieu Chollet, Chloé Clavel
1st International Multimodal Communication Symposium, Barcellona, Spain, April 2023.
-
Origins of Low-dimensional Adversarial Perturbations
Elvis Dohmatob, Chuan Guo, Morgane Goibert
AISTATS 2023, Valencia, Spain, April 2023.
-
Diverse Paraphrasing with Insertion Models for Few-Shot Intent Detection
Raphaël Chevasson, Charlotte Laclau, Christophe Gravier
IDA 2023: Advances in Intelligent Data Analysis XXI, Louvain-la-Neuve, Belgium, April 2023.
-
An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERT
Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Christophe Gravier
International Symposium on Intelligent Data Analysis, Louvain-la-Neuve, Belgium, April 2023.
-
Reconstruction of trajectories of athletes using computer vision models and kinetic analysis
Qi Gan, Sao Mai Nguyen, Eric Fenaux, Stéphan Clémençon, Mounim El Yacoubi, Ons Jelassi
The 17th Annual MIT Sloan Sports Analytics Conference, Boston, MA, United States, March 2023.
-
It’s not Just What You Do but also When You Do It: Novel Perspectives for Informing Interactive Public Speaking Training
Beatrice Biancardi, Yingjie Duan, Mathieu Chollet, Chloé Clavel
International Conference on Human Computer Interaction Theory and Applications, Lisbonne, Portugal, February 2023.
-
Unbalanced CO-Optimal Transport
Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
AAAI, Washington, United States, February 2023. Edit format ....
-
Solving stochastic weak Minty variational inequalities without increasing batch size
Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
International Conference on Learning Representations ICLR, Kigali, Rwanda, 2023. Code accessi....
-
One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models
Yasser Benigmim, Subhankar Roy, Slim Essid, Vicky Kalogeiton, Stéphane Lathuilière
IEEE/CVF Conference on Computer Vision and Pattern Recognition- Workshop on Generative Models for Computer Vision, vancouver, Canada, 2023. Proceedings ....
Theses
-
Automatic analysis of trust over the course of a human-robot interaction using multimodal features and recurrent neural architectures
Marc Hulcelle
December 2023.
-
Statistical Understanding of Adversarial Robustness
Morgane Goibert
November 2023.
-
Traitement de la phase des signaux audio dans les réseaux de neurones profonds
Félix Mathieu
November 2023.
-
Multi-target tracking and novel variational approaches for high-dimensional sequential data : an application to object counting in videos
Mathis Chagneux
November 2023.
-
Un cadre flexible pour l’apprentissage automatique interprétable : application à la classification d’images et d’audio
Jayneel Parekh
July 2023.
-
Multi layered Misbehavior Detection for a connected and autonomous vehicle
Mohammed Bouchouia
June 2023.
-
Structured Prediction with Output Regularization : Improving Statistical and Computational Efficiency
Luc Motte
April 2023.
-
Monte Carlo Methods and Stochastic Approximation : Theory and Applications to Machine Learning
Rémi Leluc
March 2023.
-
Stochastic Second Order Methods and Finite Time Analysis of Policy Gradient Methods
Rui Yuan
March 2023.
-
Function-valued regression with kernels : Improving speed, flexibility and robustness
Dimitri Bouche
January 2023.
Unpublished
-
Tail Index Estimation for Discrete Heavy-Tailed Distributions with Application to Statistical Inference for Regular Markov Chains
Patrice Bertail, Stephan Clémençon, Carlos Fernández
November 2023. Submitted to....
-
Harris Recurrent Markov Chains and Nonlinear Monotone Cointegrated Models
Patrice Bertail, Cécile Durot, Carlos Fernández
November 2023. Submitted to....
-
Speech Self-Supervised Representations Benchmarking: a Case for Larger Probing Heads
Salah Zaiem, Youcef Kemiche, Titouan Parcollet, Slim Essid, Mirco Ravanelli
September 2023. 11 Pages.
-
Training dynamic models using early exits for automatic speech recognition on resource-constrained devices
George August Wright, Umberto Cappellazzo, Salah Zaiem, Desh Raj, Lucas Ondel Yang, Daniele Falavigna, Alessio Brutti
September 2023. working pape....
-
Tail Inverse Regression: dimension reduction for prediction of extremes
Anass Aghbalou, François Portier, Anne Sabourin, Chen Zhou
February 2023. main paper: ....
-
Online Matching in Geometric Random Graphs
Flore Sentenac, Nathan Noiry, Matthieu Lerasle, Laurent Ménard, Vianney Perchet
2023. working pape....
Miscellaneous
-
Audiocarnet for the presentation of the Statistical Wave Field Theory
Roland Badeau
November 2023.
Books
-
Conférence Nationale d’Intelligence Artificielle Année 2023
Emmanuel Adam, Thomas Guyet, Benoit Le Blanc, Dominique Longin, Zied Bouraoui, Sandra Bringay, Romaric Gaudel, Charlotte Laclau, Christelle Launois, Maxime Morge, Catherine Roussey, François Schwarzentruber, Cassia Trojahn, Élise Vareilles, Anaelle Wilczynski
October 2023.
Technical Reports
-
Procédure de diffusion des publications de l’ATALA sur les archives ouvertes
Yannick Parmentier, Sylvain Pogodalla, Rachel Bawden, Matthieu Labeau, Iris Eshkol-Taravella
September 2023.
Journal Articles
-
A closed-measure approach to stochastic approximation
Pascal Bianchi, Rodolfo Rios-Zertuche
Stochastics: An International Journal of Probability and Stochastic Processes, December 2023.
-
Concentration bounds for the empirical angular measure with statistical learning applications
Stéphan Clémençon, Hamid Jalalzai, Stéphane Lhaut, Anne Sabourin, Johan Segers
Bernoulli, November 2023.
-
A Statistical Learning View of Simple Kriging
Emilia Siviero, Emilie Chautru, Stéphan Clémençon
Test, November 2023.
-
Fighting selection bias in statistical learning: application to visual recognition from biased image databases
Stéphan Clémençon, Pierre Laforgue, Robin Vogel
Journal of Nonparametric Statistics, October 2023.
-
Dynamical correlations in simple disorder and complex disorder liquids
Bernarda Lovrinčević, Martina Požar, Ivo Jukić, David Perera, Aurélien Perera
Journal of Molecular Liquids, October 2023.
-
Fast Kernel Methods for Generic Lipschitz Losses via p-Sparsified Sketches
Tamim El Ahmad, Pierre Laforgue, Florence d’Alché-Buc
Transactions on Machine Learning Research Journal, September 2023.
-
Weakly stationary stochastic processes valued in a separable Hilbert space: Gramian-Cramér representations and applications
Amaury Durand, François Roueff
ESAIM: Probability and Statistics, August 2023.
-
On the Fair Comparison of Optimization Algorithms in Different Machines
Etor Arza, Josu Ceberio, Ekhine Irurozki, Aritz Perez
Annals of Applied Statistics, August 2023.
-
Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection
Dimitri Bouche, Rémi Flamary, Florence D’alché-Buc, Riwal Plougonven, Marianne Clausel, Jordi Badosa, Philippe Drobinski
Renewable Energy, July 2023.
-
Audio Signal Processing in the 21st Century
Gaël Richard, Paris Smaragdis, Sharon Gannot, Patrick A Naylor, Shoji Makino, Walter Kellermann, Akihiko Sugiyama
IEEE Signal Processing Magazine, July 2023.
-
Hi! PARIS: IA et Sciences des données pour la société
Gael Richard, Vieille Nicolas, Moulines Eric
Télécom : revue de l’Association Amicale des ingénieurs de l’Ecole Nationale Supérieure des télécommunications, June 2023.
-
Functional anomaly detection: a benchmark study
Guillaume Staerman, Eric Adjakossa, Pavlo Mozharovskyi, Vera Hofer, Jayant Sen Gupta, Stéphan Clémençon
International Journal of Data Science and Analytics, June 2023.
-
Multimodal Hierarchical Attention Neural Network: Looking for Candidates Behaviour Which Impact Recruiter’s Decision
Léo Hemamou, Arthur Guillon, Jean-Claude Martin, Chloé Clavel
IEEE Transactions on Affective Computing, April 2023.
-
Comparing Two Samples Through Stochastic Dominance: A Graphical Approach
Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
Journal of Computational and Graphical Statistics, April 2023.
-
Unsupervised Music Source Separation Using Differentiable Parametric Source Models
Kilian Schulze-Forster, Gaël Richard, Liam Kelley, Clement Doire, Roland Badeau
IEEE/ACM Transactions on Audio, Speech and Language Processing, March 2023.
-
The multichannel maximum-likelihood (MCML) method: a new approach for infrasound detection and wave parameter estimation
B. Poste, M. Charbit, A. Le Pichon, C. Listowski, François Roueff, J. Vergoz
Geophysical Journal International, February 2023.
-
Affine invariant integrated rank-weighted statistical depth: properties and finite sample analysis
Stephan Clémençon, Pavlo Mozharovskyi, Guillaume Staerman
Electronic Journal of Statistics , January 2023.
-
Pseudo-Bayesian Approach for Robust Mode Detection and Extraction Based on the STFT
Quentin Legros, Dominique Fourer
Sensors, January 2023.
-
Scaling by subsampling for big data, with applications to statistical learning
Patrice Bertail, Mohammed Bouchouia, Ons Jelassi, Jessica Tressou, Mélanie Zetlaoui
Journal of Nonparametric Statistics, 2023.
-
Quadratic error bound of the smoothed gap and the restarted averaged primal-dual hybrid gradient
Olivier Fercoq
Open Journal of Mathematical Optimization, 2023.
-
Monotonic Alpha-divergence Minimisation for VariationalInference
Kamélia Daudel, Randal Douc, François Roueff
Journal of Machine Learning Research, 2023.
2022
Conference Articles
2022 [98 publications]
2023
Unpublished
-
Introducing the 3MT_French Dataset to Investigate the Timing of Public Speaking Judgements
Beatrice Biancardi, Mathieu Chollet, Chloé Clavel
December 2023. working pape....
Conference Articles
-
The Glass Ceiling of Automatic Evaluation in Natural Language Generation
Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida
IJCNLP-AACL 2023 : The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, Nusa Dua, Bali, Indonesia, November 2023.
2022
Conference Articles
-
Interpretable Generative Modeling Using a Hierarchical Topological VAE
Etienne Desticourt, Véronique Letort, Florence d’Alché-Buc
2022 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, United States, December 2022.
-
Assessing Performance and Fairness Metrics in Face Recognition – Bootstrap Methods
Jean-Rémy Conti, Stéphan Clémençon
NeurIPS 2022 : Trustworthy and Socially Responsible Machine Learning (TSRML), Virtual conference, France, December 2022.
-
An Adversarial Robustness Perspective on the Topology of Neural Networks
Morgane Goibert, Thomas Ricatte, Elvis Dohmatob
ML Safety Workshop, NeurIPS 2022, New Orleans, United States, December 2022.
-
TINA: Textual Inference with Negation Augmentation
Chadi Helwe, Simon Coumes, Chloé Clavel, Fabian Suchanek
The 2022 Conference on Empirical Methods in Natural Language Processing ( EMNLP 2022 ), Abu Dhabi, United Arab Emirates, December 2022.
-
Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency
Yanzhu Guo, Chloé Clavel, Moussa Kamal Eddine, Michalis Vazirgiannis
2022 Conference on Empirical Methods in Natural Language Processing, Abu Dhabi, United Arab Emirates, December 2022.
-
LogiTorch: A PyTorch-based library for logical reasoning on natural language
Chadi Helwe, Chloé Clavel, Fabian Suchanek
The 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Abu Dhabi, United Arab Emirates, December 2022.
-
Learning Multi-Level Representations for Hierarchical Music Structure Analysis
Morgan Buisson, Brian Mcfee, Slim Essid, Helene-Camille Crayencour
International Society for Music Information Retrieval (ISMIR), Bengaluru, India, December 2022.
-
SSM-NET: FEATURE LEARNING FOR MUSIC STRUCTURE ANALYSIS USING A SELF-SIMILARITY-MATRIX BASED LOSS
Geoffroy Peeters, Florian Angulo
Late-Breaking/Demo Session of ISMIR (International Society for Music Infor- mation Retrieval), Bengalore, India, December 2022.
-
Exploiting device and audio data to tag music with User-Aware listening contexts
Karim M Ibrahim, Elena V. Epure, Geoffroy Peeters, Gael Richard
International Society for Music Information Retrieval Conference (ISMIR 2022), Bengalore, India, December 2022.
-
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré La Tour, Ghislain Durif, Cassio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoit Malézieux, Badr Moufad, Binh T Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems, New Orleans, United States, November 2022.
-
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension
Binh T. Nguyen, Bertrand Thirion, Sylvain Arlot
NeurIPS 2022, New Orleans, United States, November 2022.
-
Training Computational Models of Group Processes without Groundtruth: the Self- vs External Assessment’s Dilemma
Lucien Maman, Gualtiero Volpe, Giovanna Varni
ICMI ’22: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, Bangalore, India, November 2022.
-
Latent and Adversarial Data Augmentation for Sound Event Detection and Classification
David Perera, Slim Essid, Gaël Richard
International workshop on Detection and Classiffication of Acoustic Scenes and Events (DCASE), Nancy, France, November 2022.
-
Scattering at the angles of polyhedral rooms: application of stress-energy tensor conservation in Riemannian spaces
Jean-Dominique Polack, Aidan Meacham, Roland Badeau, Jean-Christophe Valière
24th international congress on acoustics, Gyeongju, South Korea, October 2022.
-
The absorptive nature of the scattering coefficient in the stress-energy tensor formalism for room acoustics
Jean-Dominique Polack, Aidan Meacham, Roland Badeau
24th international congress on acoustics (ICA 2022), Gyeongju, South Korea, October 2022.
-
Domain Adaptation for Stance Detection towards Unseen Target on Social Media
Ruofan Deng, Li Panl, Chloé Clavel
2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII), Nara, Japan, October 2022.
-
Minconvnets: a New Class of Multiplication-Less Neural Networks
Xuecan Yang, Sumanta Chaudhuri, Laurence Likforman-Sulem, Lirida Naviner
2022 IEEE International Conference on Image Processing (ICIP), Bordeaux, France, October 2022.
-
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation
Cyril Chhun, Pierre Colombo, Fabian M Suchanek, Chloé Clavel
29th International Conference on Computational Linguistics (COLING 2022), Gyeongju, South Korea, October 2022.
-
One Word, Two Sides: Traces of Stance in Contextualized Word Representations
Aina Garí Soler, Matthieu Labeau, Chloé Clavel
29th International Conference on Computational Linguistics (COLING 2022), Gyeongju, South Korea, October 2022.
-
Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning
Salah Zaiem, Titouan Parcollet, Slim Essid
Interspeech 2022, Incheon, South Korea, September 2022.
-
Impact de perturbations internes sur l’entraînement de réseaux profonds pour la détection d’évènements sonores
David Perera, Slim Essid, Gael Richard
Colloque Francophone de Traitement du Signal et des Images (GRETSI), Nancy, France, September 2022.
-
Apprentissage de bancs de filtres pour la séparation aveugle de sources sonores
Félix Mathieu, Thomas Courtat, Gael Richard, Geoffroy Peeters
Colloque Francophone de Traitement du Signal et des Images (GRETSI), Nancy, France, September 2022.
-
Mitigating Gender Bias of Pre-Trained Face Recognition Models with an Ethical Module
Jean-Rémy Conti, Nathan Noiry, Vincent Despiegel, Stéphane Gentric, Stephan Clémençon
Workshop on Trustworthy Artificial Intelligence as a part of the ECML/PKDD 22 program, Grenoble, France, France, September 2022.
-
Fractionally Integrated Autoregressive Moving Average processes valued in a separable Hilbert space
François Roueff
Adaptive and High-Dimensional Spatio-Temporal Methods for Forecasting, Luminy, France, September 2022.
-
An Exploratory Study on Group Potency Classification from Non-verbal Social Behaviours
Nicola Corbellini, Eleonora Ceccaldi, Giovanna Varni, Gualtiero Volpe
12th International Workshop on Human Behavior Understanding, Montreal, Canada, August 2022.
-
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms
Milad Sefidgaran, Amin Gohari, Gael Richard, Umut Şimşekli
COLT 2022 - 35th Annual Conference on Learning Theory, London, United Kingdom, July 2022.
-
Implementing the cumulative difference plot in the IOHanalyzer
Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
GECCO ’22: Genetic and Evolutionary Computation Conference, Boston Massachusetts, United States, July 2022.
-
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model
Stéphan Clémençon, Jean-Rémy Conti, Nathan Noiry, Vincent Despiegel, Stéphane Gentric
ICML, Honolulu, United States, July 2022.
-
Functional Output Regression with Infimal Convolution: Exploring the Huber and -insensitive Losses
Alex Lambert, Dimitri Bouche, Zoltan Szabo, Florence d’Alché-Buc
International Conference on Machine Learning - 2022, Baltimore, United States, July 2022.
-
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
Luc Brogat-Motte, Rémi Flamary, Celine Brouard, Juho Rousu, Florence d’Alché-Buc
ICML 2022 - 39th International Conference on Machine Learning, Baltimore, United States, July 2022.
-
FVTD simulation of the acoustics of the Phonocamptic Cave in Noyon
Hugo Duval, Antoine Thomas, Aidan Meacham, Roland Badeau, Jean-Christophe Valière, Jean-Dominique Polack
The Acoustics of Ancient Theatres, Verona, Italy, July 2022.
-
Adapting the EST method to ancient theatres: a proposal
Jean-Dominique Polack, Aidan Meacham, Roland Badeau, Jean-Christophe Valière
The Acoustics of Ancient Theatres, Verona, Italy, July 2022.
-
Polysemy in Spoken Conversations and Written Texts
Aina Garí Soler, Matthieu Labeau, Chloé Clavel
13th Conference on Language Resources and Evaluation (LREC 2022), Marseille, France, June 2022.
-
EZCAT: an Easy Conversation Annotation Tool
Gaël Guibon, Luce Lefeuvre, Matthieu Labeau, Chloé Clavel
13th Conference on Language Resources and Evaluation (LREC 2022), Marseille, France, June 2022.
-
Opinions in Interactions : New Annotations of the SEMAINE Database
Valentin Barrière, Chloé Clavel, Slim Essid
LREC, Marseille, France, June 2022.
-
Is on-line handwriting gender-sensitive? what tells us a combination of statistical and machine learning approaches
Laurence Likforman-Sulem, Gennaro Cordasco, Anna Esposito
ICPRAI 2022 :3rd International Conference on Pattern Recognition and Artificial Intelligence, Paris, France, June 2022.
-
PHASE SHIFTED BEDROSIAN FILTERBANK: AN INTERPRETABLE AUDIO FRONT-END FOR TIME-DOMAIN AUDIO SOURCE SEPARATION
Félix Mathieu, Thomas Courtat, Gael Richard, Geoffroy Peeters
ICASSP, Singapour, Singapore, May 2022.
-
Generalized Sliced Probability Metrics
Soheil Kolouri, Kimia Nadjahi, Shahin Shahrampour, Umut Simsekli
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, Singapore, Singapore, May 2022.
-
”You might think about slightly revising the title”: Identifying Hedges in Peer-tutoring Interactions
Yann Raphalen, Chloé Clavel, Justine Cassell
ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland, May 2022. (Volume 1: L....
-
Learning Disentangled Textual Representations via Statistical Measures of Similarity
Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
60th Annual Meeting of the Association for Computational Linguistics, Dublin (Ireland), Ireland, May 2022.
-
Flow-Based Fast Multichannel Nonnegative Matrix Factorization for Blind Source Separation
Aditya Arie Nugraha, Kouhei Sekiguchi, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii
2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), Singapore, Singapore, May 2022.
-
Riemannian space tessellation with polyhedral room images
Jean-Dominique Polack, Aidan Meacham, Roland Badeau, Jean-Christophe Valière
16e Congrès Français d’Acoustique (CFA 2022), Marseille, France, April 2022.
-
Riemannian space tessellation with polyhedral room images
Jean-Dominique Polack, Aidan Meacham, Roland Badeau, Jean-Christophe Valière
16ème Congrès Français d’Acoustique, CFA2022, Marseille, France, April 2022.
-
Confirming dimensional reduction assumptions for the energy-stress tensor through comparison with high-frequency wave-based pressure simulations
Aidan Meacham, Roland Badeau, Jean-Dominique Polack
16ème Congrès Français d’Acoustique, CFA2022, Marseille, France, April 2022.
-
Algorithmes rapides pour la modélisation d’une réponse de salle dont l’atténuation dépend de la fréquence
Achille Aknin, Roland Badeau
16e Congrès Français d’Acoustique (CFA 2022), Marseille, France, April 2022.
-
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications
Morgane Goibert, Stéphan Clémençon, Ekhine Irurozki, Pavlo Mozharovskyi
25th International Conference on Artificial Intelligence and Statistics AISTATS 2022, Valence, Spain, March 2022.
-
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation
Anas Barakat, Pascal Bianchi, Julien Lehmann
25th International Conference on Artificial Intelligence and Statistics, Virtual, Unknown Region, March 2022.
-
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation
Pierre Jean A. Colombo, Chloé Clavel, Pablo Piantanida
AAAI : Technical Track on Speech and Natural Language Processing, Online (Guadalajara), Mexico, February 2022.
-
Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational Environments
Kouhei Sekiguchi, Aditya Arie Nugraha, Yicheng Du, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, France, 2022.
-
Participation de l’équipe TGV à DEFT 2022 : Prédiction automatique de notes d’étudiants à des questionnaires en fonction du type de question
Vanessa Gaudray Bouju, Margot Guettier, Gwennola Lerus, Gaël Guibon, Matthieu Labeau, Luce Lefeuvre
Traitement Automatique des Langues Naturelles, Avignon, France, 2022.
-
DNN-FREE LOW-LATENCY ADAPTIVE SPEECH ENHANCEMENT BASED ON FRAME-ONLINE BEAMFORMING POWERED BY BLOCK-ONLINE FASTMNMF
Aditya Arie Nugraha, Kouhei Sekiguchi, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii
17th International Workshop on Acoustic Signal Enhancement (IWAENC 2022), Bamberg, Germany, 2022.
-
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
Parekh Jayneel, Parekh Sanjeel, Mozharovskyi Pavlo, d’Alché-Buc Florence, Gael Richard
Advances in Neural Information Processing Systems, New Orleans, United States, 2022.
-
A general sample complexity analysis of vanilla policy gradient
Rui Yuan, Robert M Gower, Alessandro Lazaric
International Conference on Artificial Intelligence and Statistics, Virtual conference (Covid), France, 2022.
-
What are the best systems? New perspectives on NLPBenchmarking
Ekhine Irurozki, Pierre Colombo, Nathan Noiry, Stéphan Clémençon
Conference on Neural Information Processing Systems, New Orleans, United States, 2022.
-
Direction-Aware Joint Adaptation of Neural Speech Enhancement and Recognition in Real Multiparty Conversational Environments
Yicheng Du, Aditya Arie Nugraha, Kouhei Sekiguchi, Yoshiaki Bando, Mathieu Fontaine, Kazuyoshi Yoshii
INTERSPEECH, Incheon, South Korea, 2022.
-
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
Thomas Pethick, Puya Latafat, Panagiotis Patrinos, Olivier Fercoq, Volkan Cevher
International Conference on Learning Representations, online, France, 2022.
Unpublished
-
Membership Inference Attacks via Adversarial Examples
Hamid Jalalzai, Elie Kadoche, Rémi Leluc, Vincent Plassier
December 2022. Trustworthy ....
-
Privacy in Machine Learning
Rachel Cummings, Mathias Valla, Luca Nesterenko, Tamim El Ahmad, Mehrasa Ahmadipour, Veronica Lachi, Clément Lalanne, Emilia Siviero, Clément Ogier, Ashna Jose, Aadil Oufkir
CIRM – Centre International de Rencontres Mathématiques, Marseille, France, May 2022. Lecture.
-
Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection
Dimitri Bouche, Rémi Flamary, Florence d’Alché-Buc, Riwal Plougonven, Marianne Clausel, Jordi Badosa, Philippe Drobinski
May 2022. The authors ....
-
Elliptically Contoured Alpha-Stable Representation for MUSIC-Based Sound Source Localization
Mathieu Fontaine, Diego Di Carlo, Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii
March 2022. working pape....
-
Riemannian space tessellation with polyhedral room images
Jean-Dominique Polack, Aidan Meacham, Roland Badeau, Jean-Christophe Valière
March 2022. working pape....
-
Approximate Bayesian computation with the sliced-Wasserstein distance
Kimia Nadjahi, Valentin Bortoli, Alain Durmus, Roland Badeau, Umut Şimşekli
2022. Accepted at ....
Journal Articles
-
Socio-conversational systems: Three challenges at the crossroads of fields
Chloé Clavel, Matthieu Labeau, Justine Cassell
Frontiers in Robotics and AI, December 2022.
-
Pretext Tasks selection for multitask self-supervised speech representation learning
Salah Zaiem, Titouan Parcollet, Slim Essid, Abdelwahab Heba
IEEE Journal of Selected Topics in Signal Processing, October 2022.
-
The Jazz Ontology: A semantic model and large-scale RDF repositories for jazz
Polina Proutskova, Daniel Wolff, György Fazekas, Klaus Frieler, Frank Höger, Olga Velichkina, Gabriel Solis, Tillman Weyde, Martin Pfleiderer, Hèlène Camille Crayencour, Geoffroy Peeters, Simon Dixon
Journal of Web Semantics, October 2022.
-
SGD with Coordinate Sampling: Theory and Practice
Rémi Leluc, François Portier
Journal of Machine Learning Research, October 2022. Journal of M....
-
Choosing Among Notions of Multivariate Depth Statistics
Karl Mosler, Pavlo Mozharovskyi
Statistical Science, August 2022.
-
Sketched Newton–Raphson
Rui Yuan, Alessandro Lazaric, Robert M Gower
SIAM Journal on Optimization, July 2022.
-
On the convergence of stochastic primal-dual hybrid gradient
Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
SIAM Journal on Optimization, June 2022.
-
A stochastic Gauss-Newton algorithm for regularized semi-discrete optimal transport
Bernard Bercu, Jérémie Bigot, Sébastien Gadat, Emilia Siviero
Information and Inference: A Journal of the IMA, May 2022. Early Access....
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Power-aware feature selection for optimized Analog-to-Feature converter
Antoine Back, Paul Chollet, Olivier Fercoq, Patricia Desgreys
Microelectronics Journal, April 2022.
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Convergence of constant step stochastic gradient descent for non-smooth non-convex functions
Pascal Bianchi, Walid Hachem, Sholom Schechtman
Set-Valued and Variational Analysis, April 2022.
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Empirical Risk Minimization under Random Censorship
Guillaume Ausset, Stéphan Clémençon, François Portier
Journal of Machine Learning Research, January 2022.
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Statistical learning from biased training samples
Stéphan Clémençon, Pierre Laforgue
Electronic Journal of Statistics , January 2022.
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Autoregressive Moving Average Jointly-Diagonalizable Spatial Covariance Analysis for Joint Source Separation and Dereverberation
Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Mathieu Fontaine, Kazuyoshi Yoshii, Tatsuya Kawahara
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2022.
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Generalized Fast Multichannel Nonnegative Matrix Factorization Based on Gaussian Scale Mixtures for Blind Source Separation
Mathieu Fontaine, Kouhei Sekiguchi, Aditya Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2022.
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Lyrics segmentation via bimodal text–audio representation
Michael Fell, Yaroslav Nechaev, Gabriel Meseguer-Brocal, Elena Cabrio, Fabien Gandon, Geoffroy Peeters
Natural Language Engineering, 2022.
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Handwriting and Drawing Features for Detecting Personality Traits: An Analysis on Big Five Sub-dimensions
Anna Esposito, Terry Amorese, Michele Buonanno, Marialucia Cuciniello, Antonietta Esposito, Marcos Faundez-Zanuy, Laurence Likforman-Sulem, Maria Teresa Riviello, Carmine Spagnuolo, Alda Troncone, Gennaro Cordasco
Acta Polytechnica Hungarica, 2022.
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A Quadrature Rule combining Control Variates and Adaptive Importance Sampling
Rémi Leluc, François Portier, Aigerim Zhuman, Johan Segers
Advances in Neural Information Processing Systems, 2022.
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Video-to-Music Recommendation using Temporal Alignment of Segments
Laure Prétet, Gael Richard, Clément Souchier, Geoffroy Peeters
IEEE Transactions on Multimedia, 2022.
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Conditional independence testing via weighted partial copulas and nearest neighbors
Pascal Bianchi, Kevin Elgui, François Portier
Journal of Multivariate Analysis, 2022.
-
Comparing Deep Models and Evaluation Strategies for Multi-Pitch Estimation in Music Recordings
Christof Weis, Geoffroy Peeters
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2022.
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Vector-Valued Least-Squares Regression under Output Regularity Assumptions
Luc Brogat-Motte, Alessandro Rudi, Celine Brouard, Juho Rousu, Florence d’Alché-Buc
Journal of Machine Learning Research, 2022.
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Linear convergence of dual coordinate descent on non-polyhedral convex problems
Ion Necoara, Olivier Fercoq
Mathematics of Operations Research, 2022. 27 pages.
proceedings
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Universal aggregation of permutations
Ekhine Irurozki, Stéphan Clémençon
Proceedings of DA2PL 2022 : From Multiple-Criteria Decision Aid to Preference Learning, November 2022.
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Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2022)
Mathieu Lagrange, Annamaria Mesaros, Thomas Pellegrini, Gael Richard, Romain Serizel, Dan Stowell
November 2022.
Miscellaneous
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Operational Fairness for Facial Authentication Systems
Mélanie Gornet, Claude Kirchner, Catherine Tessier
October 2022. ERCIM News 1....
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Unsupervised Audio Source Separation Using Differentiable Parametric Source Models
Kilian Schulze-Forster, Clement S J Doire, Gael Richard, Roland Badeau
2022.
Theses
-
Automated analysis of cohesion in small groups interactions
Lucien Maman
September 2022.
-
Data depth: computation, applications, and beyond
Pavlo Mozharovskyi
July 2022.
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Functional time series modeling and application to representation and analysis of multi-site electric load curves for energy management
Amaury Durand
April 2022.
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Functional anomaly detection and robust estimation
Guillaume Staerman
April 2022.
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Exploring generative adversarial networks for controllable musical audio synthesis
Javier Nistal Hurlé
March 2022.
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Computational models of disfluencies : fillers and discourse markers in spoken language understanding
Tanvi Dinkar
January 2022.
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Metric learning for video to music recommendation
Laure Prétet
January 2022.
Technical Reports
2021 [112 publications]
2021
patent
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Conversion de la parole par apprentissage statistique avec modélisation complexe des modifications temporelles
Enguerrand Gentet, Sebastien Denjean, Vincent Roussarie, David Bertrand, Gael Richard
France, July 2021.
Conference Articles
-
Mixture weights optimisation for alpha-divergence variational inference
Kamélia Daudel, Randal Douc
Advances in Neural Information Processing (NeurIPS), Online, France, December 2021.
-
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
Kimia Nadjahi, Alain Durmus, Pierre E. Jacob, Roland Badeau, Umut Şimşekli
35th Conference on Neural Information Processing Systems (NeurIPS 2021), En ligne, France, December 2021.
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A Framework to Learn with Interpretation
Jayneel Parekh, Pavlo Mozharovskyi, Florence d’Alché-Buc
Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 2021.
-
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
Melih Barsbey, Milad Sefidgaran, Murat A Erdogdu, Gael Richard, Umut Şimşekli
35th Conference on Neural Information Processing Systems (NeurIPS), Online, United States, December 2021.
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Code-switched inspired losses for generic spoken dialog representations
Emile Chapuis, Pierre Colombo, Matthieu Labeau, Chloé Clavel
2021 Conference on Empirical Methods in Natural Language Processing, Punta Cana, Dominican Republic, November 2021.
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Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks
Gaël Guibon, Matthieu Labeau, Hélène Flamein, Luce Lefeuvre, Chloé Clavel
The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Punta Cana, Dominican Republic, November 2021.
-
Improving Multimodal fusion via Mutual Dependency Maximisation
Pierre Colombo, Emile Chapuis, Matthieu Labeau, Chloé Clavel
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Online and Punta Cana, France, November 2021.
-
From local hesitations to global impressions of the listener
Tanvi Dinkar, Beatrice Biancardi, Chloé Clavel
4th International Conference on Natural Language and Speech Processing, Virtual Conference, Italy, November 2021.
-
THE WORDS REMAIN THE SAME: COVER DETECTION WITH LYRICS TRANSCRIPTION
Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gael Richard
22nd International Society for Music Information Retrieval Conference ISMIR 2021, Online, India, November 2021.
-
Is There a ”Language of Music-Video Clips” ? A Qualitative and Quantitative Study
Laure Prétet, Gaël Richard, Geoffroy Peeters
ISMIR, Virtual Event, France, November 2021.
-
Training Deep Pitch-Class Representations With a Multi-Label CTC Loss
Christof Weiss, Geoffroy Peeters
International Society for Music Information Retrieval Conference (ISMIR), Virtual Event, France, November 2021.
-
DARKGAN: EXPLOITING KNOWLEDGE DISTILLATION FOR COMPREHENSIBLE AUDIO SYNTHESIS WITH GANS
Javier Nistal Hurlé, Stefan Lattner, Gael Richard
International Society for Music Information Retrieval, Virtual, France, November 2021.
-
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
Pierre Colombo, Guillaume Staerman, Pablo Piantanida, Chloé Clavel
EMNLP 2021, Punta Cana, Dominican Republic, November 2021.
-
User-guided one-shot deep model adaptation for music source separation
Giorgia Cantisani, Alexey Ozerov, Slim Essid, Gael Richard
2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY, United States, October 2021.
-
A Hitchhiker’s Guide towards Transactive Memory System Modeling in Small Group Interactions
Enzo Tartaglione, Beatrice Biancardi, Maurizio Mancini, Giovanna Varni
Companion Publication of the 2021 International Conference on Multimodal Interaction, Montreal (Canada), Canada, October 2021.
-
Analog-to-feature converter optimization through power-aware feature selection
Antoine Back, Paul Chollet, Olivier Fercoq, Patricia Desgreys
International Conference on Analog VLSI Circuits, Bordeaux, France, October 2021.
-
An Exploratory Computational Study on the Effect of Emergent Leadership on Social and Task Cohesion
Soumaya Sabry, Lucien Maman, Giovanna Varni
Workshop Insights on Group and Team Dynamics, Montreal QC Canada, France, October 2021.
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Exploiting the Interplay between Social and Task Dimensions of Cohesion to Predict its Dynamics Leveraging Social Sciences
Lucien Maman, Laurence Likforman-Sulem, Mohamed Chetouani, Giovanna Varni
23rd ACM International Conference on Multimodal Interaction, Montreal, Canada, October 2021.
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Get Together in the Middle-earth: a First Step Towards Hybrid Intelligence Systems
Giovanna Varni, André-Marie Pez, Maurizio Mancini
23rd ACM International Conference on Multimodal Interaction; Workshop Insights on Group & Team Dynamics, Montreal, Canada, October 2021.
-
CATS2021: International Workshop on Corpora And Tools for Social skills annotation
Beatrice Biancardi, Eleonora Ceccaldi, Chloé Clavel, Mathieu Chollet, Tanvi Dinkar
ICMI ’21: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, Montréal, France, October 2021.
-
Learning Multi-Pitch Estimation From Weakly Aligned Score-Audio Pairs Using a Multi-Label CTC Loss
Christof Weiss, Geoffroy Peeters
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), Mohonk Mountain House, New Paltz, NY, United States, October 2021.
-
On the topic of frequency dependent exponential decay matrices and Lie groups
Achille Aknin, Roland Badeau
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, NY, United States, October 2021.
-
Individual Survival Curves with Conditional Normalizing Flows
Stéphan Clémençon, Guillaume Ausset, Tom Ciffreo, François Portier, Timothee Papin
2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA), Porto, Portugal, October 2021.
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Dynamic Graph Convolutional LSTM application for traffic flow estimation from error-prone measurements: results and transferability analysis
Stéphan Clémençon, Safa Boudabous, Houda Labiod, Julian Garbiso
2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA), Porto, Portugal, October 2021.
-
Reasoning with Transformer-based Models: Deep Learning, but Shallow Reasoning
Chadi Helwe, Chloé Clavel, Fabian Suchanek
2021 International Conference on Automated Knowledge Base Construction (AKBC), Virtual, United States, October 2021.
-
VQCPC-GAN: VARIABLE-LENGTH ADVERSARIAL AUDIO SYNTHESIS USING VECTOR-QUANTIZED CONTRASTIVE PREDICTIVE CODING
Javier Nistal Hurlé, Cyran Aouameur, Stefan Lattner, Gael Richard
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, United States, October 2021.
-
Language-Independent Bimodal System for Early Parkinson’s Disease Detection
Catherine Taleb, Laurence Likforman-Sulem, Chafic Mokbel
ICDAR 2021, Lausanne ( CH), Switzerland, September 2021.
-
TURIN: A coding system for Trust in hUman Robot INteraction
Marc Hulcelle, Giovanna Varni, Nicolas Rollet, Chloé Clavel
2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII), Nara, France, September 2021.
-
How ECA vs Human Leaders Affect the Perception of Transactive Memory System (TMS) in a Team
Beatrice Biancardi, Patrick O’Toole, Ivan Giaccaglia, Brian Ravenet, Ian Pitt, Maurizio Mancini, Giovanna Varni
International Conference on Affective Computing & Intelligent Interaction, Virtual conference, France, September 2021.
-
Using Valence Emotion to Predict Group Cohesion’s Dynamics: Top-down and Bottom-up Approaches
Lucien Maman, Mohamed Chetouani, Laurence Likforman-Sulem, Giovanna Varni
International Conference on Affective Computing & Intelligent Interaction (ACII 2021), Virtual Event Nara, Japan, France, September 2021.
-
Don’t Judge Me by My Face: An Indirect Adversarial Approach to Remove Sensitive Information From Multimodal Neural Representation in Asynchronous Job Video Interviews
Leo Hemamou, Arthur Guillon, Jean-Claude Martin, Chloé Clavel
2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII), Nara, Japan, September 2021.
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Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics
Myrto Limnios, Nathan Noiry, Stéphan Clémençon
Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications (2021), Bilbao, Spain, September 2021.
-
Damped Chirp Mixture Estimation via Nonlinear Bayesian Regression
Julian Neri, Philippe Depalle, Roland Badeau
23rd International Conference on Digital Audio Effects (DAFx2020), Vienne, Austria, September 2021.
-
Conditional Independence for Pretext Task Selection in Self-Supervised Speech Representation Learning
Salah Zaiem, Titouan Parcollet, Slim Essid
Interspeech 2021, Brno, Czech Republic, August 2021.
-
Unsupervised Blind Source Separation with Variational Auto-Encoders
Julian Neri, Roland Badeau, Philippe Depalle
29th European Signal Processing Conference (EUSIPCO 2021), Dublin, Ireland, August 2021.
-
Attention-based distributed speech enhancement for unconstrained microphone arrays with varying number of nodes
Nicolas Furnon, Romain Serizel, Slim Essid, Irina Illina
EUSIPCO 2021 - 29th European Signal Processing Conference, Dublin / Virtual, Ireland, August 2021.
-
Smooth nonnegative tensor factorization for multi-sites electrical load monitoring
Amaury Durand, François Roueff, Jean-Marc Jicquel, Nicolas Paul
EUSIPCO, Dublin, Ireland, August 2021.
-
A Novel Pseudo-Bayesian Approach for Robust Multi-Ridge Detection and Mode Retrieval
Quentin Legros, Dominique Fourer
29th European Signal Processing Conference (EUSIPCO 2021), Dublin, Ireland, August 2021.
-
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations
Pierre Colombo, Pablo Piantanida, Chloé Clavel
Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Online, France, August 2021.
-
Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional Categories
Gaël Guibon, Matthieu Labeau, Hélène Flamein, Luce Lefeuvre, Chloé Clavel
1st Workshop on Meta Learning and Its Applications to Natural Language Processing, ACL 2021, Bangkok, Thailand, August 2021.
-
Learning from Biased Data: A Semi-Parametric Approach
Stéphan Clémençon, Patrice Bertail, Yannick Guyonvarch, Nathan Noiry
ICML 2021 virtual conference - 38th International Conference on Machine Learning, Online, United States, July 2021.
-
Relative Positional Encoding for Transformers with Linear Complexity
Antoine Liutkus, Ondřej Cífka, Shih-Lun Wu, Umut Şimşekli, Yi-Hsuan Yang, Gael Richard
ICML 2021 - 38th International Conference on Machine Learning, Virtual Only, United States, July 2021.
-
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study
Pierre Laforgue, Guillaume Staerman, Stéphan Clémençon
38 th International Conference on Machine Learning (2021), Virtual conference, France, July 2021.
-
Cross-Modal Music-Video Recommendation: A Study of Design Choices
Laure Prétet, Gael Richard, Geoffroy Peeters
Special Session of the International Joint Conference on Neural Networks (IJCNN 2021), Shenzhen, China, July 2021.
-
Unbalanced Mallows Models for Optimizing Expensive Black-Box Permutation Problems
Ekhine Irurozki, Manuel López-Ibáñez
The Genetic and Evolutionary Computation Conference (GECCO21), Lille, France, July 2021.
-
Interaction Fidelity vs User’s Workload in a VR Environment: A Pilot Study
Maurizio Mancini, Jake Spreadborough, Laura Maye, Beatrice Biancardi, Giovanna Varni
Joint workshop on Games-Human Interaction (GHItaly21) and Multi-party Interaction in eXtended Reality (MIXR21), Bolzano, Italy, July 2021.
-
Concentric Mixtures of Mallows Models for Top-k Rankings: Sampling and Identifiability
Fabien Collas, Ekhine Irurozki
38th International Conference on Machine Learning, Online, France, July 2021.
-
NEURO-STEERED MUSIC SOURCE SEPARATION WITH EEG-BASED AUDITORY ATTENTION DECODING AND CONTRASTIVE-NMF
Giorgia Cantisani, Slim Essid, Gael Richard
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto (virtual conference), Canada, June 2021.
-
Self-Supervised VQ-VAE for One-Shot Music Style Transfer
Ondřej Cífka, Alexey Ozerov, Umut Şimşekli, Gael Richard
ICASSP 2021 - IEEE International Conference on Acoustics, Speech and Signal Processing, Toronto / Virtual, Canada, June 2021.
-
Distributed speech separation in spatially unconstrained microphone arrays
Nicolas Furnon, Romain Serizel, Irina Illina, Slim Essid
ICASSP 2021 - 46th International Conference on Acoustics, Speech, and Signal Processing, Toronto / Virtual, Canada, June 2021.
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Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications
Stéphan Clémençon, Guillaume Ausset, François Portier
AISTATS 2021 : The 24th International Conference on Artificial Intelligence and Statistics, Virtual conference, France, May 2021.
-
When OT meets MoM: Robust estimation of Wasserstein Distance
Guillaume Staerman, Pavlo Mozharovskyi, Florence d’Alché-Buc, Pierre Laforgue
AISTATS 2021, Virtual Conference, France, April 2021.
-
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting
Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier
AISTATS 2021 - International Conference on Artificial Intelligence and Statistics, San Diego / Virtual, United States, April 2021.
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Des leaders d’équipes virtuels pour encourager le développement du système de mémoire transactive
Beatrice Biancardi, Ivan Giaccaglia, Brian Ravenet, Giovanna Varni
32e conférence francophone sur l’Interaction Humain-Machine (IHM’20.21), Virtual Event, France, April 2021. IHM’20.21 32....
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Nonlinear Functional Output Regression: a Dictionary Approach
Dimitri Bouche, Marianne Clausel, François Roueff, Florence d’Alché-Buc
24th International Conference on Artificial Intelligence and Statistics (AISTATS), Virtual, France, April 2021.
-
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints
Robin Vogel, Aurélien Bellet, Stéphan Clémençon
The 24th International Conference on Artificial Intelligence and Statistics, Virtual conference, France, April 2021.
-
Comparing Representations for Audio Synthesis Using Generative Adversarial Networks
Gaël Richard, Javier Nistal, Stefan Plattner
2020 28th European Signal Processing Conference (EUSIPCO), Amsterdam (Virtual), Netherlands, January 2021.
-
Méta-apprentissage : classification de messages en catégories émotionnelles inconnues en entraînement
Gaël Guibon, Matthieu Labeau, Hélène Flamein, Luce Lefeuvre, Chloé Clavel
Traitement Automatique des Langues Naturelles, Lille, France, 2021.
-
Sequence-to-Sequence Predictive Model: From Prosody To Communicative Gestures
Fajrian Yunus, Chloé Clavel, Catherine Pelachaud
International Conference on Human-Computer Interaction - HCII, virtuel, France, 2021.
Unpublished
-
SAMbA: Speech enhancement with Asynchronous ad-hoc Microphone Arrays
Nicolas Furnon, Romain Serizel, Slim Essid, Irina Illina
December 2021. Submitted to....
-
EEG-based Decoding of Auditory Attention to a Target Instrument for Neuro-steered Music Source Separation
Giorgia Cantisani, Slim Essid, Gael Richard
September 2021. working pape....
-
Learning Output Embeddings in Structured Prediction
Luc Brogat-Motte, Alessandro Rudi, Celine Brouard, Juho Rousu, Florence d’Alché-Buc
July 2021. working pape....
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Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball
Othmane Sebbouh, Robert M Gower, Aaron Defazio
February 2021. working pape....
Journal Articles
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Does the Goal Matter? Emotion Recognition Tasks Can Change the Social Value of Facial Mimicry towards Artificial Agents
Giulia Perugia, Maike Paetzel-Prüssman, Isabelle Hupont, Giovanna Varni, Mohamed Chetouani, Christopher Edward Peters, Ginevra Castellano
Frontiers in Robotics and AI, November 2021. 27 pages, 8 ....
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Concentration Inequalities for Two-Sample Rank Processes with Application to Bipartite Ranking
Stéphan Clémençon, Myrto Limnios, Nicolas Vayatis
Electronic Journal of Statistics , September 2021.
-
Spectral estimation for non-linear long range dependent discrete time trawl processes
Paul Doukhan, François Roueff, Joseph Rynkiewicz
Electronic Journal of Statistics , August 2021.
-
Stochastic optimization with momentum: convergence, fluctuations, and traps avoidance
Anas Barakat, Pascal Bianchi, Walid Hachem, Sholom Schechtman
Electronic Journal of Statistics , August 2021.
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Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d’Alché-Buc, Emily Fox, Hugo Larochelle
Journal of Machine Learning Research, August 2021.
-
Control variate selection for Monte Carlo integration
Rémi Leluc, François Portier, Johan Segers
Statistics and Computing, June 2021.
-
General-order observation-driven models: ergodicity and consistency of the maximum likelihood estimator
Tepmony Sim, Randal Douc, François Roueff
Electronic Journal of Statistics , June 2021.
-
Towards alignment strategies in human-agent interactions based on measures of lexical repetitions
Guillaume Dubuisson Duplessis, Caroline Langlet, Chloé Clavel, Frédéric Landragin
Language Resources and Evaluation, June 2021.
-
Approximate computation of projection depths
Rainer Dyckerhoff, Pavlo Mozharovskyi, Stanislav Nagy
Computational Statistics and Data Analysis, May 2021.
-
Bayesian Allocation Model: Marginal Likelihood-Based Model Selection for Count Tensors
Sinan Yldrm, M. Burak Kurutmaz, Melih Barsbey, Umut Şimşekli, A. Taylan Cemgil
IEEE Journal of Selected Topics in Signal Processing, April 2021.
-
Necessary and sufficient conditions for the identifiability of observation-driven models
Randal Douc, François Roueff, Tepmony Sim
Journal of Time Series Analysis, March 2021.
-
Depth for Curve Data and Applications
Pierre Lafaye Micheaux, Pavlo Mozharovskyi, Myriam Vimond
Journal of the American Statistical Association, 2021.
-
Infinite-dimensional gradient-based descent for alpha-divergence minimisation
Kamélia Daudel, Randal Douc, François Portier
Annals of Statistics, 2021.
-
Screening Rules and its Complexity for Active Set Identification
Eugene Ndiaye, Olivier Fercoq, Joseph Salmon
Journal of Convex Analysis, 2021.
-
Les mégadonnées et l’essor de l’intelligence artificielle
Stéphan Clémençon
Les Cahiers français : documents d’actualité, 2021.
-
DNN-based mask estimation for distributed speech enhancement in spatially unconstrained microphone arrays
Nicolas Furnon, Romain Serizel, Slim Essid, Irina Illina
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2021.
-
Phoneme Level Lyrics Alignment and Text-Informed Singing Voice Separation
Kilian Schulze-Forster, Clement S J Doire, Gael Richard, Roland Badeau
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2021.
-
Adaptation Mechanisms in Human-Agent Interaction: Effects on User’s Impressions and Engagement
Beatrice Biancardi, Soumia Dermouche, Catherine Pelachaud
Frontiers in Computer Science, 2021.
-
Convergence and Dynamical Behavior of the Adam Algorithm for Non Convex Stochastic Optimization
Anas Barakat, Pascal Bianchi
SIAM Journal on Optimization, 2021.
-
Approximate Inference and Learning of State Space Models with Laplace Noise
Julian Neri, Philippe Depalle, Roland Badeau
IEEE Transactions on Signal Processing, 2021.
-
Scalable Semidefinite Programming
Alp Yurtsever, Joel A. Tropp, Olivier Fercoq, Madeleine Udell, Volkan Cevher
SIAM Journal on Mathematics of Data Science, 2021.
-
Feature Clustering for Support Identification in Extreme Regions
Hamid Jalalzai, Rémi Leluc
Proceedings of Machine Learning Research, 2021.
proceedings
-
Anomalous Cluster Detection in Large Networks with Diffusion-Percolation Testing
Corentin Larroche, Johan Mazel, Stephan Clémençon
ESANN 2021 : European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning., October 2021.
-
Actes de la conférence CAID 2020
François Vieilleville, Stéphane May, Adrien Lagrange, A Dupuis, Rosa Ruiloba, Fred Ngolè Mboula, Tristan Bitard-Feildel, Erwan Nogues, Corentin Larroche, Johan Mazel, Stephan Clémençon, Romain Burgot, Alric Gaurier, Louis Hulot, Léo Isaac-Dognin, Laetitia Leichtnam, Eric Totel, Nicolas Prigent, Ludovic Mé, Rémi Bernhard, Pierre-Alain Moëllic, Jean-Max Dutertre, Katarzyna Kapusta, Vincent Thouvenot, Olivier Bettan, Tristan Charrier, Luc Bonnafoux, Francisco-Pierre Puig, Quentin Lhoest, Thomas Renault, Adrien Benamira, Benoit Bonnet, Teddy Furon, Patrick Bas, Benjamin Farcy, Silvia Gil-Casals, Juliette Mattioli, Marc Fiammante, Marc Lambert, Roman Bresson, Johanne Cohen, Eyke Hullermeier, Christophe Labreuche, Michele Sebag, Thomas Thebaud, Anthony Larcher, Gaël Le Lan, Nouredine Nour, Reda Belhaj-Soullami, Cédric L.R. Buron, Alain Peres, Frédéric Barbaresco, Antoine D’acremont, Guillaume Quin, Alexandre Baussard, Ronan Fablet, Marie-Caroline Corbineau, Louis Morge-Rollet, Frederic Le Roy, Denis Le Jeune, Roland Gautier, Benjamin Camus, Eric Monteux, Mikaël Vermet, Alex Goupilleau, Tugdual Ceillier
April 2021.
Miscellaneous
-
From local hesitations to global impressions of a speaker’s feeling of knowing
Tanvi Dinkar, Beatrice Biancardi, Chloé Clavel
September 2021. Poster.
-
Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework
Benoît Fuentes, Gael Richard
2021.
Book Chapters
-
Rank Aggregation for Non-stationary Data Streams
Ekhine Irurozki, Aritz Perez, Jesus Lobo, Javier Ser
Machine Learning and Knowledge Discovery in Databases. Research Track, September 2021.
-
The Deep Learning Revolution in MIR: The Pros and Cons, the Needs and the Challenges 2021
Geoffroy Peeters
Perception, Representations, Image, Sound, Music, 2021.
-
Deep Learning for Audio and Music
Geoffroy Peeters, Gael Richard
Multi-faceted Deep Learning: Models and Data, 2021.
Theses
-
Personalized audio auto-tagging as proxy for contextual music recommendation
Karim Magdi Abdelfattah Ibrahim
December 2021.
-
Contributions to non-convex stochastic optimization and reinforcement learning
Anas Barakat
December 2021.
-
Expected smoothness for stochastic variance-reduced methods and sketch-and-project methods for structured linear systems
Nidham Gazagnadou
December 2021.
-
Machine learning approaches for the prediction of credit risk
Guillaume Ausset
December 2021.
-
Neural methods for spoken dialogue understanding
Emile Chapuis
December 2021.
-
Neuro-steered music source separation
Giorgia Cantisani
December 2021.
-
Informed audio source separation with deep learning in limited data settings
Kilian Schulze-Forster
December 2021.
-
Sliced-Wasserstein distance for large-scale machine learning : theory, methodology and extensions
Kimia Nadjahi
November 2021.
-
Leveraging lyrics from audio for MIR
Andrea Vaglio
November 2021.
-
Deep learning methods for music style transfer
Ondřej Cífka
November 2021.
-
Apprendre à représenter et à générer du texte en utilisant des mesures d’information
Pierre Colombo
November 2021.
-
Extreme Value Theory and Machine Learning
Anne Sabourin
October 2021.
-
Network-wide intrusion detection through statistical analysis of event logs : an interaction-centric approach
Corentin Larroche
October 2021.
-
Adaptative Monte-Carlo methods for complex models
Kamélia Daudel
October 2021.
-
Variance-sensitive confidence intervals for parametric and offline bandits
Louis Faury
October 2021.
-
Vehicular traffic analysis based on Bluetooth sensors traces
Safa Boudabous
September 2021.
-
Learning function-valued functions in reproducible kernel Hilbert spaces with integral losses : Application to infinite task learning
Alex Lambert
July 2021.
-
Amélioration de l’intelligibilité de signaux audio de parole en contexte bruité automobile
Enguerrand Gentet
March 2021.
2020
Conference Articles
-
Dynamically Modelling Heterogeneous Higher-Order Interactions for Malicious Behavior Detection in Event Logs
Corentin Larroche, Johan Mazel, Stéphan Clémençon
CAID 2020 : Conference on Artificial Intelligence for Defense, Rennes, France, November 2020.
2015 - 2020 [577 publications]
2020
Conference Articles
-
Recent Trends in Statistical Analysis of Event Logs for Network-Wide Intrusion Detection
Corentin Larroche, Johan Mazel, Stéphan Clémençon
Conference on Artificial Intelligence for Defense (CAID), Rennes, France, December 2020.
-
Auralization of a Hybrid Sound Field using a Wave-Stress Tensor Based Model
Aidan Meacham, Roland Badeau, Jean-Dominique Polack
Forum Acusticum, Lyon, France, December 2020.
-
The importance of fillers for text representations of speech transcripts
Tanvi Dinkar, Pierre Colombo, Matthieu Labeau, Chloé Clavel
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Online, Dominican Republic, November 2020.
-
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
Emile Chapuis, Pierre Colombo, Matteo Manica, Matthieu Labeau, Chloé Clavel
Findings of the Association for Computational Linguistics: EMNLP 2020, Online, France, November 2020.
-
Quad-Approx CNNs for Embedded Object Detection Systems
Xuecan Yang, Sumanta Chaudhuri, Lirida Naviner, Laurence Likforman-Sulem
2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Glasgow, United Kingdom, November 2020.
-
Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization
Anas Barakat, Pascal Bianchi
Asian Conference on Machine Learning, Bangkok, Thailand, November 2020.
-
MULTILINGUAL LYRICS-TO-AUDIO ALIGNMENT
Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gael Richard, Florence d’Alché-Buc
International Society for Music Information Retrieval Conference (ISMIR), Montreal, Canada, October 2020.
-
CONTENT BASED SINGING VOICE SOURCE SEPARATION VIA STRONG CONDITIONING USING ALIGNED PHONEMES
Gabriel Meseguer-Brocal, Geoffroy Peeters
21st International Society for Music Information Retrieval Conference, Montréal (virtual), Canada, October 2020.
-
Multimodal Groups’ Analysis for Automated Cohesion Estimation
Lucien Maman
ICMI ’20: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, Virtual Event, Netherlands, October 2020.
-
Modeling Dynamics of Task and Social Cohesion from the Group Perspective Using Nonverbal Motion Capture-based Features
Fabian Walocha, Lucien Maman, Mohamed Chetouani, Giovanna Varni
Insights on Group & Team Dynamics, Virtual Event, Netherlands, October 2020.
-
The WoNoWa Dataset: Investigating the Transactive Memory System in Small Group Interactions
Beatrice Biancardi, Lou Maisonnave-Couterou, Pierrick Renault, Brian Ravenet, Maurizio Mancini, Giovanna Varni
ACM International Conference on Multimodal Interaction, Virtual conference, Netherlands, October 2020.
-
HRI-RNN: A User-Robot Dynamics-Oriented RNN for Engagement Decrease Detection
Asma Atamna, Chloé Clavel
INTERSPEECH 2020, Shanghai, China, October 2020.
-
Extending Deep Rhythm for Tempo and Genre Estimation Using Complex Convolutions, Multitask Learning and Multi-input Network
Hadrien Foroughmand, Geoffroy Peeters
The 2020 Joint Conference on AI Music Creativity, Stockholm, Sweden, October 2020.
-
SHOULD WE CONSIDER THE USERS IN CONTEXTUAL MUSIC AUTO-TAGGING MODELS?
Karim M Ibrahim, Elena V Epure, Geoffroy Peeters, Gael Richard
21st International Society for Music Information Retrieval Conference, Montreal, Canada, October 2020.
-
Weighted Emprirical Risk Minimization: Transfer Learning based on Importance Sampling
Robin Vogel, Mastane Achab, Stéphan Clémençon
ESANN 2020: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Online, France, October 2020.
-
Gender Identification through Handwriting: an Online Approach
Gennaro Cordasco, Michele Buonanno, Marcos Faundez-Zanuy, Maria Teresa Riviello, Laurence Likforman-Sulem, Anna Esposito
2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), Mariehamn, Finland, September 2020.
-
EVALUATION OF A STOCHASTIC REVERBERATION MODEL BASED ON THE IMAGE SOURCE PRINCIPLE
Achille Aknin, Théophile Dupré, Roland Badeau
International Conference on Digital Audio Effects, Vienne, Austria, September 2020.
-
Identifying the ”Right” Level of Explanation in a Given Situation
Valérie Beaudouin, Isabelle Bloch, David Bounie, Stéphan Clémençon, Florence d’Alché-Buc, James R Eagan, Winston Maxwell, Pavlo Mozharovskyi, Jayneel Parekh
1st International Workshop on New Foundations for Human-Centered AI (NeHuAI) ECAI 2020, Santiago de Compostella, Spain, September 2020.
-
DrumGAN: Synthesis of drum sounds with timbral feature conditioning using Generative Adversarial Networks
Javier Nistal Hurlé, Stefan Lattner, Gael Richard
21 st International Society for Music Information Retrieval Conference (ISMIR), Toronto, Canada, August 2020.
-
The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth Measure
Guillaume Staerman, Pavlo Mozharovskyi, Stéphan Clémençon
The Twenty Third International Conference on Artificial Intelligence and Statistics 2020, Online, Italy, August 2020.
-
A Multiclass Classification Approach to Label Ranking
Stéphan Clémençon, Robin Vogel
(AISTATS) 2020 : Twenty Third International Conference on Artificial Intelligence and Statistics, Palerme, Italy, August 2020.
-
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
Pierre Laforgue, Alex Lambert, Luc Brogat-Motte, Florence d’Alché-Buc
International Conference on Machine Learning, Vienna (virtual), Austria, July 2020.
-
Improved Optimistic Algorithms for Logistic Bandits
Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq
International Conference of Machine Learning, Vienne, Austria, July 2020.
-
Random extrapolation for primal-dual coordinate descent
Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
International conference on machine learning, online, France, July 2020.
-
Tu sais qui sait quoi ? Suggestions pour l’étude du système de mémoire transactive dans un groupe à partir des patterns comportementaux et conversationnels.
Beatrice Biancardi, Lou Maisonnave-Couterou, Maurizio Mancini, Giovanna Varni
Workshop sur les Affects, Compagnons artificiels et Interactions, Saint Pierre d’Oléron, France, June 2020.
-
Guider l’attention dans les modèles de séquence à séquence pour la prédiction des actes de dialogue
Emile Chapuis, Pierre Colombo, Matteo Manica, Giovanna Varni, Emmanuel Vignon, Chloé Clavel
Workshop sur les Affects, Compagnons artificiels et Interactions, Saint Pierre d’Oléron, France, June 2020.
-
Analyse multimodale de la cohésion de groupe
Reshmashree B Kantharaju, Caroline Langlet, Mukesh Barange, Chloé Clavel, Catherine I Pelachaud
Workshop sur les Affects, Compagnons artificiels et Interactions, Saint Pierre d’Oléron, France, June 2020.
-
Sequence-to-Sequence Predictive models: from Prosody to Communicative Gestures
Fajrian Yunus, Chloé Clavel, Catherine I Pelachaud
Workshop sur les Affects, Compagnons artificiels et Interactions, Saint Pierre d’Oléron, France, June 2020.
-
Attention Slices dans les Entretiens d’Embauche Vidéo Différés
Léo Hemamou, Arthur Guillon, Jean-Claude Martin, Chloé Clavel
Workshop sur les Affects, Compagnons artificiels et Interactions, Saint Pierre d’Oléron, France, June 2020.
-
How Confident are You? Exploring the Role of Fillers in the Automatic Prediction of a Speaker’s Confidence
Tanvi Dinkar, Ioana Vasilescu, Catherine Pelachaud, Chloé Clavel
Workshop sur les Affects, Compagnons artificiels et Interactions, Saint Pierre d’Oléron, France, June 2020.
-
Feature selection algorithms for flexible analog-to-feature converter
Antoine Back, Paul Chollet, Olivier Fercoq, Patricia Desgreys
2020 18th IEEE International New Circuits and Systems Conference (NEWCAS), Montréal, Canada, June 2020.
-
Confidence-based Weighted Loss for Multi-label Classification with Missing Labels
Karim M Ibrahim, Elena Epure, Geoffroy Peeters, Gael Richard
The 2020 International Conference on Multimedia Retrieval (ICMR ’20), Dublin, Ireland, June 2020.
-
A Prototypical Triplet Loss for Cover Detection
Guillaume Doras, Geoffroy Peeters
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, France, May 2020.
-
Laplace state space filter with exact inference and moment matching
Julian Neri, Philippe Depalle, Roland Badeau
45th International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, May 2020.
-
AUDIO-BASED AUTO-TAGGING WITH CONTEXTUAL TAGS FOR MUSIC
Karim M Ibrahim, Jimena Royo-Letelier, Elena V. Epure, Geoffroy Peeters, Gael Richard
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020.
-
LEARNING TO RANK MUSIC TRACKS USING TRIPLET LOSS
Laure Prétet, Gael Richard, Geoffroy Peeters
ICASSP, Barcelona, Spain, May 2020.
-
Neutral to Lombard Speech Conversion with Deep Learning
Bertrand David, Enguerrand Gentet, Sebastien Denjean, Gael Richard, Vincent Roussarie
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, France, May 2020.
-
Speech Intelligibility Enhancement by Equalization for in-Car Applications
Enguerrand Gentet, David Bertrand, Sebastien Denjean, Gael Richard, Vincent Roussarie
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, France, May 2020.
-
Approximate Bayesian computation with the sliced-Wasserstein distance
Kimia Nadjahi, Valentin Bortoli, Alain Durmus, Roland Badeau, Umut Şimşekli
45th International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, May 2020.
-
DNN-Based Distributed Multichannel Mask Estimation for Speech Enhancement in Microphone Arrays
Nicolas Furnon, Romain Serizel, Irina Illina, Slim Essid
ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, May 2020. Submitted to....
-
Joint phoneme alignment and text-informed speech separation on highly corrupted speech
Kilian Schulze-Forster, Clément Doire, Gael Richard, Roland Badeau
45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain, May 2020.
-
Audio-Based Detection of Explicit Content in Music
Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gael Richard, Florence d’Alché-Buc
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, France, May 2020.
-
Probabilistic filter and smoother for variational inference of Bayesian linear dynamical systems
Julian Neri, Roland Badeau, Philippe Depalle
45th International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, May 2020.
-
How Confident Are You? Exploring The Role Of Fillers In The Automatic Prediction Of A Speaker’s Confidence
Tanvi Dinkar, Ioana Vasilescu, Catherine Pelachaud, Chloé Clavel
45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain, May 2020.
-
Percolation-Based Detection of Anomalous Subgraphs in Complex Networks
Corentin Larroche, Johan Mazel, Stéphan Clémençon
XVIII Symposium on Intelligent Data Analysis (IDA2020), Konstanz, Germany, April 2020.
-
Compositional Languages Emerge in a Neural Iterated Learning Model
Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B Cohen, Simon Kirby
8th International Conference on Learning Representations, Addis Ababa, Ethiopia, April 2020.
-
Distributed online Data Anomaly Detection for connected vehicles
Naman Negi, Ons Jelassi, Hakima Chaouchi, Stéphan Clémençon
ICAIIC 2020: 2nd International Conference on Artificial Intelligence in Information and Communication, Fukuoka, Japan, February 2020.
-
Explicit Regularisation in Gaussian Noise Injections
Alexander Camuto, Matthew Willetts, Umut Şimşekli, Stephen Roberts, Chris Holmes
Advances in Neural Processing Systems, Online, France, 2020.
-
The POTUS Corpus, a database of weekly addresses for the study of stance in politics and virtual agents
Thomas Janssoone, Kevin Bailly, Gael Richard, Chloé Clavel
Conference on Language Resources and Evaluation (LREC 2020), Marseille, France, 2020.
-
Statistical and Topological Properties of Sliced Probability Divergences
Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Şimşekli
Advances in Neural Processing Systems, Online, France, 2020.
-
Quantitative Propagation of Chaos for SGD in Wide Neural Networks
Valentin Bortoli, Alain Durmus, Xavier Fontaine, Umut Şimşekli
Advances in Neural Processing Systems, Online, France, 2020.
-
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks
Umut Şimşekli, Ozan Sener, George Deligiannidis, Murat A. Erdogdu
Advances in Neural Processing Systems, Online, France, 2020. Published at....
-
Multimodal Analysis of Cohesion in Multi-party Interactions
Reshmashree B Kantharaju, Caroline Langlet, Mukesh Barange, Chloé Clavel, Catherine I Pelachaud
LREC, Marseille, France, 2020.
-
Matrix Factorization for High Frequency Non Intrusive Load Monitoring
Simon Henriet, Benoît Fuentes, Umut Şimşekli, Gael Richard
BuildSys ’20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Virtual Event, Japan, 2020.
-
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise
Umut Şimşekli, Lingjiong Zhu, Yee Whye Teh, Mert Gürbüzbalaban
International Conference on Machine Learning, Online, France, 2020. 20 pages, Pu....
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Weighted Empirical Risk Minimization: Transfer Learning based on Importance Sampling
Stéphan Clémençon, Robin Vogel, Mastane Achab, Charles Tillier
28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning ( ESANN 2020), Bruges (on line), Belgium, 2020.
Journal Articles
-
Parametric versus nonparametric: The fitness coefficient
François Portier, Gildas Mazo
Scandinavian Journal of Statistics, December 2020.
-
New results on approximate Hilbert pairs of wavelet filters with common factors
Sophie Achard, Marianne Clausel, Irène Gannaz, François Roueff
Applied and Computational Harmonic Analysis, November 2020.
-
NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines
David Meunier, Annalisa Pascarella, Dmitrii Altukhov, Mainak Jas, Etienne Combrisson, Tarek Lajnef, Daphné Bertrand-Dubois, Vanessa Hadid, Golnoush Alamian, Jordan Alves, Fanny Barlaam, Anne-Lise Saive, Arthur Dehgan, Karim Jerbi
NeuroImage, October 2020.
-
Variance-Reduced Methods for Machine Learning
Robert M Gower, Mark Schmidt, Francis Bach, Peter Richtárik
Proceedings of the IEEE, October 2020.
-
Detection of Parkinson’s disease from handwriting using deep learning: a comparative study
Catherine Taleb, Laurence Likforman-Sulem, Chafic Mokbel, Maha Khachab
Evolutionary Intelligence, September 2020.
-
A Fully Stochastic Primal-Dual Algorithm
Pascal Bianchi, Walid Hachem, Adil Salim
Optimization Letters, July 2020.
-
Why Facial Recognition Algorithms Can’t be Perfectly Fair
Winston Maxwell, Stéphan Clémençon
The Conversation France, July 2020.
-
Creating DALI, a Large Dataset of Synchronized Audio, Lyrics, and Notes
Gabriel Meseguer-Brocal, Alice Cohen-Hadria, Geoffroy Peeters
Transactions of the International Society for Music Information Retrieval (TISMIR), June 2020.
-
A Multivariate Extreme Value Theory Approach to Anomaly Clustering and Visualization
Maël Chiapino, Stéphan Clémençon, Vincent Feuillard, Anne Sabourin
Computational Statistics, June 2020.
-
Introduction to the Special Section on Computational Modeling and Understanding of Emotions in Conflictual Social Interactions
Rossana Damiano, Viviana Patti, Chloé Clavel, Paolo Rosso
ACM Transactions on Internet Technology, May 2020.
-
“Talk to you later”
Nicolas Rollet, Chloé Clavel
Interaction Studies, May 2020.
-
“Talk to you later” Doing social robotics with conversation analysis. Towards the development of an automatic system for the prediction of disengagement
Nicolas Rollet, Chloé Clavel
Interaction Studies, May 2020.
-
Guiding Attention in Sequence-to-Sequence Models for Dialogue Act Prediction
Pierre Colombo, Emile Chapuis, Matteo Manica, Emmanuel Vignon, Giovanna Varni, Chloé Clavel
Proceedings of the AAAI Conference on Artificial Intelligence, April 2020.
-
Comment limiter les biais des algorithmes ?
Charles-Albert With, Driss Lehalle, Marie Lamrani, David Brière, Winston Bounie, Patrice Bertail, Stéphan Clémençon, Patrick Waelbroeck, David Bounie
Les cahiers Louis Bachelier, April 2020.
-
Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach
Valérie Beaudouin, Isabelle Bloch, David Bounie, Stéphan Clémençon, Florence d’Alché-Buc, James R Eagan, Winston Maxwell, Pavlo Mozharovskyi, Jayneel Parekh
SSRN Electronic Journal, March 2020.
-
Posterior consistency for partially observed Markov models
Randal Douc, Jimmy Olsson, François Roueff
Stochastic Processes and their Applications, February 2020.
-
Uniform convergence rates for the approximated halfspace and projection depth
Stanislav Nagy, Rainer Dyckerhoff, Pavlo Mozharovskyi
Electronic Journal of Statistics , January 2020.
-
Nonparametric imputation by data depth
Pavlo Mozharovskyi, Julie Josse, François Husson
Journal of the American Statistical Association, January 2020.
-
Separation of Alpha-Stable Random Vectors
Mathieu Fontaine, Roland Badeau, Antoine Liutkus
Signal Processing, January 2020.
-
GAME-ON: A Multimodal Dataset for Cohesion and Group Analysis
Lucien Maman, Eleonora Ceccaldi, Nale Lehmann-Willenbrock, Laurence Likforman-Sulem, Mohamed Chetouani, Gualtiero Volpe, Giovanna Varni
IEEE Access, 2020.
-
Algorithmes : Biais, Discrimination et Équité
Patrice Bertail, David Bounie, Stéphan Clémençon, Patrick Waelbroeck
HR Today, 2020. Dossier HRM ....
-
Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic Data
Ondřej Cífka, Umut Şimşekli, Gael Richard
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2020.
Theses
-
Parkinson’s desease detection by multimodal analysis combining handwriting and speech signals
Catherine Taleb
November 2020.
-
Apprentissage à partir de données extrêmes multivariées : application au traitement du langage naturel
Hamid Jalalzai
November 2020.
-
Deep kernel representation learning for complex data and reliability issues
Pierre Laforgue
June 2020.
Unpublished
-
Hilbert valued fractionally integrated autoregressive moving average processes with long memory operators
Amaury Durand, François Roueff
October 2020. working pape....
-
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
Hamid Jalalzai, Pierre Colombo, Chloé Clavel, Éric Gaussier, Giovanna Varni, Emmanuel Vignon, Anne Sabourin
September 2020. working pape....
-
HRI-RNN: A User-Robot Dynamics-Oriented RNN for Engagement Decrease Detection
Asma Atamna, Chloé Clavel
August 2020. working pape....
-
Improved Optimistic Algorithms for Logistic Bandits
Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq
June 2020. working pape....
Miscellaneous
-
GRACE : Un projet portant sur l’étude automatique de la cohésion dans les petits groupes d’humains
Lucien Maman, Giovanna Varni
June 2020. Poster.
proceedings
-
Advances in Neural Information Processing Systems 32 (NeurIPS 2019)
Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d’Alché-Buc, Emily B. Fox, Roman Garnett
2020.
2019
Technical Reports
-
Stochastic reverberation model for uniform and non-diffuse acoustic fields
Roland Badeau
April 2019.
-
General stochastic reverberation model
Roland Badeau
February 2019.
Conference Articles
-
Generalized Sliced Wasserstein Distances
Soheil Kolouri, Kimia Nadjahi, Umut Şimşekli, Roland Badeau, Gustavo K. Rohde
NeurIPS 2019, Vancouver, Canada, December 2019.
-
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
Kimia Nadjahi, Alain Durmus, Umut Şimşekli, Roland Badeau
NeurIPS 2019, Vancouver, Canada, December 2019.
-
RSN: Randomized Subspace Newton
Robert M Gower, Dmitry Kovalev, Felix Lieder, Peter Richtárik
Conference on Neural Information Processing Systems, Vancouver, Canada, December 2019.
-
Towards closing the gap between the theory and practice of SVRG
Othmane Sebbouh, Nidham Gazagnadou, Samy Jelassi, Francis Bach, Robert M Gower
Conference on Neural Information Processing Systems, Vancouver, Canada, December 2019.
-
Stochastic Conditional Gradient Method for Composite Convex Minimization
Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher
Neural Information Processing Systems, Vancouver, Canada, December 2019.
-
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
Thanh Huy Nguyen, Umut Şimşekli, Mert Gürbüzbalaban, Gael Richard
33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, December 2019.
-
Functional Isolation Forest
Guillaume Staerman, Pavlo Mozharovskyi, Stéphan Clémençon, Florence d’Alché-Buc
The 11th Asian Conference on Machine Learning 2019, Nagoya, Japan, November 2019.
-
Don’t hide in the frames: Note-and pattern-based evaluation of automated melody extraction algorithms
Klaus Frieler, Doğaç Başaran, Frank Höger, Hélène-Camille Crayencour, Geoffroy Peeters, Simon Dixon
DLfM ’19: 6th International Conference on Digital Libraries for Musicology, The Hague, Netherlands, November 2019.
-
CONDITIONED-U-NET: INTRODUCING A CONTROL MECHANISM IN THE U-NET FOR MULTIPLE SOURCE SEPARATIONS
Gabriel Meseguer-Brocal, Geoffroy Peeters
Proceedings of the 20th International Society for Music Information Retrieval Conference, Delft, Netherlands, November 2019.
-
Cover detection using dominant melody embeddings
Guillaume Doras, Geoffroy Peeters
ISMIR 2019, Delft, Netherlands, November 2019.
-
Tracking beats and microtiming in afro-latin american music using conditional random fields and deep learning
Magdalena Fuentes, Lucas S Maia, Martín Rocamora, Luiz W P Biscainho, Hélène C Crayencour, Slim Essid, Juan P. Bello
ISMIR, Delft, Netherlands, November 2019.
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DEEP-RHYTHM FOR TEMPO ESTIMATION AND RHYTHM PATTERN RECOGNITION
Hadrien Foroughmand, Geoffroy Peeters
International Society for Music Information Retrieval (ISMIR), Delft, Netherlands, November 2019.
-
Supervised Symbolic Music Style Translation Using Synthetic Data
Ondřej Cífka, Umut Şimşekli, Gael Richard
20th International Society for Music Information Retrieval Conference (ISMIR), Delft, Netherlands, November 2019.
-
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining
Alexandre Garcia, Pierre Colombo, Slim Essid, Florence d’Alché-Buc, Chloé Clavel
2019 Conference on Empirical Methods in Natural Language Processing, Hong-Kong, China, November 2019.
-
SAMBASET: a dataset of historical samba de Enredo recordings for computational music analysis
Lucas S Maia, Magdalena Fuentes, Luiz W P Biscainho, Martín Rocamora, Slim Essid
The 20th International Society for Music Information Retrieval Conference, Delft, Netherlands, November 2019.
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Experimenting with Power Divergences for Language Modeling
Matthieu Labeau, Shay B Cohen
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong, China, November 2019.
-
Weakly informed audio source separation
Kilian Schulze-Forster, Clément Doire, Gael Richard, Roland Badeau
WASPAA, New Paltz, New York, United States, October 2019.
-
EEG-BASED DECODING OF AUDITORY ATTENTION TO A TARGET INSTRUMENT IN POLYPHONIC MUSIC
Giorgia Cantisani, Slim Essid, Gael Richard
2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY, United States, October 2019.
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IDENTIFY, LOCATE AND SEPARATE: AUDIO-VISUAL OBJECT EXTRACTION IN LARGEVIDEO COLLECTIONS USING WEAK SUPERVISION
Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Duong, Patrick Pérez, Gael Richard
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, United States, October 2019.
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Handwriting and Drawing Features for Detecting Personality Traits
Anna Esposito, Terry Amorese, Michele Buonanno, Marialucia Cuciniello, Antonietta Esposito, Marcos Faundez-Zanuy, Laurence Likforman-Sulem, Maria Teresa Riviello, Alda Troncone, Gennaro Cordasco
2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), Naples, Italy, October 2019.
-
On Tree-based Methods for Similarity Learning
Stéphan Clémençon, Robin Vogel
The Fifth Conference on Machine Learning, Optimization, and Data Science (LOD 2019), Sienne, Italy, Italy, September 2019.
-
How unitizing affects annotation of cohesion
Eleonora Ceccaldi, Nale Lehmann-Willenbrock, Erica Volta, Mohamed Chetouani, Gualtiero Volpe, Giovanna Varni
2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII), Cambridge, United Kingdom, September 2019.
-
Slices of Attention in Asynchronous Video Job Interviews
Léo Hemamou, Ghazi Felhi, Jean-Claude Martin, Chloé Clavel
2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII), Cambridge, United Kingdom, September 2019.
-
Improving singing voice separation using Deep U-Net and Wave-U-Net with data augmentation
Alice Cohen-Hadria, Axel Roebel, Geoffroy Peeters
2019 27th European Signal Processing Conference (EUSIPCO), A Coruna, Spain, September 2019.
-
Cauchy Multichannel Speech Enhancement with a Deep Speech Prior
Mathieu Fontaine, Aditya Arie Nugraha, Roland Badeau, Kazuyoshi Yoshii, Antoine Liutkus
EUSIPCO 2019 - 27th European Signal Processing Conference, Coruña, Spain, September 2019.
-
Learning Methods for RSSI-based Geolocation: A Comparative Study
Kevin Elgui, Pascal Bianchi, François Portier, Olivier Isson
27th European Signal Processing Conference (EUSIPCO), A Coruña, Spain, September 2019.
-
Lower Bound on Frequency Validity of Energy-Stress Tensor Based Diffuse Sound Field Model
Aidan Meacham, Roland Badeau, Jean-Dominique Polack
ICA 2019, Aachen, Germany, September 2019.
-
Visual Representation of Online Handwriting Time Series for Deep Learning Parkinson’s Disease Detection
Catherine Taleb, Maha Khachab, Chafic Mokbel, Laurence Likforman-Sulem
2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), Sydney, Australia, September 2019.
-
Implementation of Sources in an Energy-Stress Tensor Based Diffuse Sound Field Model
Aidan Meacham, Roland Badeau, Jean-Dominique Polack
International Symposium on Room Acoustics, Amsterdam, Netherlands, September 2019.
-
Decoding auditory attention in polyphonic music based on EEG: a new dataset and a preliminary study
Giorgia Cantisani, Slim Essid, Gael Richard
Auditory EEG Signal Processing (AESoP) symposium, Leuven, Belgium, September 2019.
-
Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning
Robin Vogel, Aurélien Bellet, Stéphan Clémençon, Ons Jelassi, Guillaume Papa
ECML PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Würzburg, Germany, September 2019.
-
MAD-EEG: an EEG dataset for decoding auditory attention to a target instrument in polyphonic music
Giorgia Cantisani, Gabriel Trégoat, Slim Essid, Gael Richard
Speech, Music and Mind (SMM), Satellite Workshop of Interspeech 2019, Vienna, Austria, September 2019.
-
Generalized formulation of acoustics
Jean-Dominique Polack, Aidan Meacham, Roland Badeau
Congrès Français de Mécanique, Brest, France, August 2019.
-
Factorisation Matricielle Semi Non-Négative: Applicationà la Décomposition de Consommations Electriques
Simon Henriet, Umut Şimşekli, Sérgio F. Santos, Benoît Fuentes, Gael Richard
Colloque francophonede traitement du signal et des images (GRETSI), Lille, France, August 2019.
-
Gesture Class Prediction by Recurrent Neural Network and Attention Mechanism
Fajrian Yunus, Chloé Clavel, Catherine Pelachaud
ACM International Conference on Intelligent Virtual Agents, Paris, France, July 2019.
-
Deep Learning for Agricultural Land Detection in Insular Areas
Eleni Charou, George Felekis, Danai Bournou Stavroulopoulou, Maria Koutsoukou, Antigoni Panagiotopoulou, Yorghos Voutos, Emmanuel Bratsolis, Phivos Mylonas, Laurence Likforman-Sulem
2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA), Patras, Greece, July 2019.
-
Benchmarking GNN-CMA-ES on the BBOB noiseless testbed
Louis Faury, Clément Calauzènes, Olivier Fercoq
the Genetic and Evolutionary Computation Conference Companion, Prague, Czech Republic, July 2019.
-
Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization
Robert M Gower, Filip Hanzely, Peter Richtárik, Sebastian U Stich
International Conference on Machine Learning, Los Angeles, United States, June 2019.
-
On Medians of (Randomized) Pairwise Means
Pierre Laforgue, Stéphan Clémençon, Patrice Bertail
The 36th International Conference on Machine Learning, Long Beach (CA), United States, June 2019.
-
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks
Umut Şimşekli, Levent Sagun, Mert Gurbuzbalaban
International Conference on Machine Learning, Long Beach, United States, June 2019.
-
Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope
Tolga Birdal, Umut Şimşekli
International Conference on Computer Vision and Pattern Recognition, Long Beach, United States, June 2019.
-
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
Thanh Huy Nguyen, Umut Şimşekli, Gael Richard
International Conference on Machine Learning (ICML), Long Beach, United States, June 2019.
-
SGD: General Analysis and Improved Rates
Robert M Gower, Nicolas Loizou, Xun Qian, Alibek Sailanbayev, Egor Shulgin, Peter Richtárik
International Conference on Machine Learning, Los Angeles, United States, June 2019.
-
A Music Structure Informed Downbeat Tracking System Using Skip-chain Conditional Random Fields and Deep Learning
Magdalena Fuentes, Brian Mcfee, Helene-Camille Crayencour, Slim Essid, Juan P. Bello
2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), Brighton, United Kingdom, May 2019.
-
Speech enhancement with variational autoencoders and alpha-stable distributions
Simon Leglaive, Umut Şimşekli, Antoine Liutkus, Laurent Girin, Radu Horaud
ICASSP 2019 - 44th IEEE International Conference on Acoustics, Speech and Signal Processing, Brighton, United Kingdom, May 2019.
-
Singing Voice Separation: A Study on Training Data
Laure Prétet, Romain Hennequin, Jimena Royo-Letelier, Andrea Vaglio
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, May 2019.
-
A LSTM Approach to Detection of Autonomous Vehicle Hijacking
Naman Singh Negi, Ons Jelassi, Stéphan Clémençon, Sebastian Fischmeister
5th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2019), Heraklion, Greece, May 2019.
-
Autoencoding any Data through Kernel Autoencoders
Pierre Laforgue, Florence d’Alché-Buc, Stéphan Clémençon
AISTATS, Okinawa, Japan, April 2019.
-
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach
Stéphan Clémençon, Mastane Achab, Anna Korba
ALT 2019 : The 30th International Conference on Algorithmic Learning Theory, Chicago, United States, March 2019.
-
On Fair Cost Sharing Games in Machine Learning
Ievgen Redko, Charlotte Laclau
AAAI Conference on Artificial Intelligence, Honolulu, United States, January 2019.
-
HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews
Léo Hemamou, Ghazi Felhi, Vincent Vandenbussche, Jean-Claude Martin, Chloé Clavel
Thirty-Third AAAI Conference on Artificial Intelligence, Honolulu, United States, January 2019.
-
On the use of U-Net for dominant melody estimation in polyphonic music
Guillaume Doras, Philippe Esling, Geoffroy Peeters
MMRP 2019, Milano, Italy, January 2019.
-
Safe Grid Search with Optimal Complexity
Eugene Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
International Conference on Machine Learning, Long Beach, United States, 2019.
-
Improving Deep Learning Parkinson’s Disease Detection Through Data Augmentation Training
Catherine Taleb, Laurence Likforman-Sulem, Chafic Mokbel
MedPRAI 2019, Istamboul, Turkey, 2019.
-
A Conditional Gradient-Based Augmented Lagrangian Framework
Alp Yurtsever, Olivier Fercoq, Volkan Cevher
International Conference on Machine Learning, Long Beach, United States, 2019. Submitted to....
-
Almost surely constrained convex optimization
Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara, Volkan Cevher
International Conference on Machine Learning, Long Beach, United States, 2019.
Journal Articles
-
Weakly Supervised Representation Learning for Audio-Visual Scene Analysis
Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gael Richard
IEEE/ACM Transactions on Audio, Speech and Language Processing, December 2019.
-
Sharp exponential inequalities in survey sampling : conditional Poisson sampling schemes,
Patrice Bertail, Stéphan Clémençon
Bernoulli, November 2019.
-
Bernstein-type exponential inequalities in survey sampling: Conditional Poisson sampling schemes
Patrice Bertail, Stéphan Clémençon
Bernoulli, November 2019.
-
Independent-Variation Matrix Factorization With Application to Energy Disaggregation
Simon Henriet, Umut Şimşekli, Sérgio F. Santos, Benoît Fuentes, Gael Richard
IEEE Signal Processing Letters, November 2019.
-
Rademacher complexity for Markov chains: Applications to kernel smoothing and Metropolis–Hastings
Patrice Bertail, François Portier
Bernoulli, November 2019.
-
A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change
Jian Song, Shiqiang Wan, Shilong Piao, Alan Knapp, Aimée T Classen, Sara Vicca, Philippe Ciais, Mark Hovenden, Sébastian Leuzinger, Claus Beier, Paul Kardol, Jianyang Xia, Qiang Liu, Jingyi Ru, Zhenxing Zhou, Yiqi Luo, Dali Guo, J. Adam Langley, Jakob Zscheischler, Jeffrey Dukes, Jianwu Tang, Jiquan Chen, Kirsten Hofmockel, Lara Kueppers, Lindsey Rustad, Lingli Liu, Melinda Smith, Pamela Templer, R. Quinn Thomas, Richard Norby, Richard Phillips, Shuli Niu, Simone Fatichi, Yingping Wang, Pengshuai Shao, Hongyan Han, Dandan Wang, Lingjie Lei, Jiali Wang, Xiaona Li, Qian Zhang, Xiaoming Li, Fanglong Su, Bin Liu, Fan Yang, Gaigai Ma, Guoyong Li, Yanchun Liu, Yinzhan Liu, Zhongling Yang, Kesheng Zhang, Yuan Miao, Mengjun Hu, Chuang Yan, Ang Zhang, Mingxing Zhong, Yan Hui, Ying Li, Mengmei Zheng
Nature Ecology & Evolution, September 2019.
-
Statistical learning based on Markovian data maximal deviation inequalities and learning rates
Stéphan Clémençon, Patrice Bertail, Gabriela Ciolek
Annals of Mathematics and Artificial Intelligence, August 2019.
-
A generic coordinate descent solver for nonsmooth convex optimization
Olivier Fercoq
Optimization Methods and Software, August 2019.
-
DOSED: A deep learning approach to detect multiple sleep micro-events in EEG signal
Stanislas Chambon, Valentin Thorey, Pierrick J. Arnal, Emmanuel Jean Marie Mignot, Alexandre Gramfort
Journal of Neuroscience Methods, June 2019.
-
Common mathematical framework for stochastic reverberation models
Roland Badeau
Journal of the Acoustical Society of America, April 2019.
-
Time-frequency analysis of locally stationary Hawkes processes
François Roueff, Rainer Sachs
Bernoulli, March 2019.
-
Adaptive restart of accelerated gradient methods under local quadratic growth condition
Olivier Fercoq, Zheng Qu
IMA Journal of Numerical Analysis, March 2019.
-
Beyond sound level monitoring: Exploitation of social media to gather citizens subjective response to noise
Luis Gasco, Chloé Clavel, Cesar Asensio, Guillermo Arcas
Science of the Total Environment, March 2019.
-
The strength of alpha-beta oscillatory coupling predicts motor timing precision
Laetitia Grabot, Tadeusz W. Kononowicz, Tom Dupré La Tour, Alexandre Gramfort, Valérie Doyère, Virginie Wassenhove
Journal of Neuroscience, February 2019.
-
Constant step stochastic approximations involving differential inclusions: stability, long-run convergence and applications
Pascal Bianchi, Walid Hachem, Adil Salim
Stochastics: An International Journal of Probability and Stochastic Processes, February 2019.
-
De Fourier à la reconnaissance musicale
Gael Richard, Sébastien Fenet, Yves Grenier
Interstices, February 2019.
-
Audiovisual Analysis of Music Performances: Overview of an Emerging Field
Zhiyao Duan, Slim Essid, Cynthia Liem, Gael Richard, Gaurav Sharma
IEEE Signal Processing Magazine, January 2019.
-
A Coordinate Descent Primal-Dual Algorithm with Large Step Size and Possibly Non Separable Functions
Olivier Fercoq, Pascal Bianchi
SIAM Journal on Optimization, January 2019.
-
Fast computation of Tukey trimmed regions and median in dimension p > 2
Xiaohui Liu, Karl Mosler, Pavlo Mozharovskyi
Journal of Computational and Graphical Statistics, January 2019.
-
Early Detection of User Engagement Breakdown in Spontaneous Human-Humanoid Interaction
Atef Ben Youssef, Chloé Clavel, Slim Essid
IEEE Transactions on Affective Computing, January 2019.
-
On-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction
Atef Ben Youssef, Giovanna Varni, Slim Essid, Chloé Clavel
International Journal of Social Robotics, January 2019.
-
Optimal survey schemes for stochastic gradient descent with applications to M-estimation
Stéphan Clémençon, Patrice Bertail, Emilie Chautru, Guillaume Papa
ESAIM: Probability and Statistics, 2019.
-
A constant step Forward-Backward algorithm involving random maximal monotone operators
Pascal Bianchi, Walid Hachem, Adil Salim
Journal of Convex Analysis, 2019.
-
Depth and Depth-Based Classification with R Package ddalpha
Oleksii Pokotylo, Pavlo Mozharovskyi, Rainer Dyckerhoff
Journal of Statistical Software, 2019.
-
Improved Small Molecule Identification through Learning Combinations of Kernel Regression Models
Celine Brouard, Antoine Bassé, Florence d’Alché-Buc, Juho Rousu
Metabolites, 2019.
Book Chapters
-
MNE: Software for Acquiring, Processing, and Visualizing MEG/EEG Data
Lorenz Esch, Christoph Dinh, Eric Larson, Denis Engemann, Mainak Jas, Sheraz Khan, Alexandre Gramfort, Matti Hämäläinen
Magnetoencephalography, October 2019.
-
Handwriting and Drawing Features for Detecting Negative Moods
Gennaro Cordasco, Filomena Scibelli, Marcos Faundez-Zanuy, Laurence Likforman-Sulem, Anna Esposito
Quantifying and Processing Biomedical and Behavioral Signals, August 2019.
-
Smooth Minimization of Nonsmooth Functions with Parallel Coordinate Descent Methods
Olivier Fercoq, Peter Richtárik
Modeling and Optimization: Theory and Applications, February 2019. 39 pages, 1 ....
Miscellaneous
-
Improved small molecule identification through learning combinations of kernel regression models
Celine Brouard, Florence d’Alché-Buc, Juho Rousu
October 2019. Poster.
-
Design of a flexible analog-to-feature converter for smart acquisition of biological signals
Antoine Back, Paul Chollet, Olivier Fercoq, Patricia Desgreys
September 2019. Poster.
-
Conception d’un convertisseur analogique-paramètres pour l’acquisition intelligente de signaux biologiques
Antoine Back, Paul Chollet, Olivier Fercoq, Patricia Desgreys
June 2019. Poster.
Unpublished
-
Weakly Informed Audio Source Separation
Kilian Schulze-Forster, Clément Doire, Gael Richard, Roland Badeau
October 2019. working pape....
-
Smoothing technique for nonsmooth composite minimization with linear operator
Quang Van Nguyen, Olivier Fercoq, Volkan Cevher
September 2019. working pape....
-
Discovery of usage patterns in digital library web logs using Markov modeling
Adrien Nouvellet, Valérie Beaudouin, Florence d’Alché-Buc, Christophe Prieur, François Roueff
July 2019. working pape....
-
Principal Component Analysis for Multivariate Extremes
Holger Drees, Anne Sabourin
June 2019. working pape....
-
Improving singing voice separation using Deep U-Net and Wave-U-Net with data augmentation
Alice Cohen-Hadria, Axel Roebel, Geoffroy Peeters
March 2019. working pape....
-
Optimal mini-batch and step sizes for SAGA
Nidham Gazagnadou, Robert M. Gower, Joseph Salmon
February 2019. 34 pages, 27....
-
Improving Evolutionary Strategies with Generative Neural Networks
Louis Faury, Clément Calauzènes, Olivier Fercoq, Syrine Krichen
February 2019. working pape....
-
The f-divergence expectation iteration scheme
Kamélia Daudel, Randal Douc, François Portier, François Roueff
2019. working pape....
proceedings
-
Traffic Analysis Based on Bluetooth Passive Scanning
Safa Boudabous, Julian Garbiso, Bertrand Leroy, Stéphan Clémençon, Houda Labiod
April 2019.
Theses
-
Sparse high dimensional regression in the presence of colored heteroscedastic noise : application to M/EEG source imaging
Mathurin Massias
December 2019.
-
Coordinate descent methods for non-differentiable convex optimisation problems
Olivier Fercoq
December 2019.
-
Prédiction de modèles structurés d’opinion : aspects théoriques et méthodologiques
Alexandre Garcia
November 2019.
-
Exploration of multivariate EEG /MEG signals using non-stationary models
Pierre Ablin
November 2019.
-
Multi-scale computational rhythm analysis : a framework for sections, downbeats, beats, and microtiming
Magdalena Fuentes
November 2019.
-
Analyse d’opinion dans les interactions orales
Valentin Barrière
April 2019.
-
Apprentissage de représentations pour l’analyse robuste de scènes audiovisuelles
Sanjeel Parekh
March 2019.
2018
Books
-
Generalization Bounds for Minimum Volume Set Estimation based on Markovian Data, ISAIM, International Symposium on Artificial Intelligence and Mathematics proceedings, 1-7
Patrice Bertail, Gabriela Ciolek, Stéphan Clémençon
January 2018.
Miscellaneous
-
Multimodal Music Recording Remastering
Giorgia Cantisani, Slim Essid, Gael Richard
December 2018. Poster.
-
Identification des efforts au chevalet d’un instrument cordes. Applications pour la synthèse hybride
Hugo Dujourdy, Frédéric Ablitzer, Jérémy Cabaret, Bertrand David, François Gautier
November 2018. Poster.
-
Caractérisation d’excitation de caisses de guitare : vers l’identification des efforts bloqués au chevalet
Hugo Dujourdy, Frédéric Ablitzer, Jérémy Cabaret, Bertrand David, François Gautier
June 2018. Poster.
Journal Articles
-
Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure
Olivier Commowick, Audrey Istace, Michael Kain, Baptiste Laurent, Florent Leray, Mathieu Simon, Sorina Camarasu Pop, Pascal Girard, Roxana Ameli, Jean-Christophe Ferré, Anne Kerbrat, Thomas Tourdias, Frédéric Cervenansky, Tristan Glatard, Jeremy Beaumont, Senan Doyle, Florence Forbes, Jesse Knight, April Khademi, Amirreza Mahbod, Chunliang Wang, Richard Mckinley, Franca Wagner, John Muschelli, Elizabeth Sweeney, Eloy Roura, Xavier Llado, Michel Santos, Wellington P Santos, Abel G Silva-Filho, Xavier Tomas-Fernandez, Hélène Urien, Isabelle Bloch, Sergi Valverde, Mariano Cabezas, Francisco Javier Vera-Olmos, Norberto Malpica, Charles R G Guttmann, Sandra Vukusic, Gilles Edan, Michel Dojat, Martin Styner, Simon K. Warfield, François Cotton, Christian Barillot
Scientific Reports, December 2018.
-
Statistical inference for the Russell measure of technical efficiency
Oleg Badunenko, Pavlo Mozharovskyi
Journal of the Operational Research Society, December 2018.
-
Snake: a stochastic proximal gradient algorithm for regularized problems over large graphs
Adil Salim, Pascal Bianchi, Walid Hachem
IEEE Transactions on Automatic Control, November 2018.
-
Temporal clustering analysis of endothelial cell gene expression following exposure to a conventional radiotherapy dose fraction using Gaussian process clustering
M. Heinonen, Fabien Milliat, Mohamed-amine Benadjaoud, Agnes Francois, Valerie Buard, Florence d’Alché-Buc, O. Guipaud, Georges Tarlet
PLoS ONE, October 2018.
-
An Adaptive Primal-Dual Framework for Nonsmooth Convex Minimization
Quoc Tran-Dinh, Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
Mathematical Programming Computation, September 2018.
-
Output Fisher embedding regression
Moussab Djerrab, Alexandre Garcia, Maxime Sangnier, Florence d’Alché-Buc
Machine Learning, September 2018.
-
Automatic Detection of Depressive States from Speech
Aditi Mendiratta, Filomena Scibelli, Antonietta Esposito, Vincenzo Capuano, Laurence Likforman-Sulem, Mauro Maldonato, Alessandro Vinciarelli, Anna Esposito
Entropy, August 2018.
-
A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging
Yousra Bekhti, Felix Lucka, Joseph Salmon, Alexandre Gramfort
Inverse Problems, August 2018.
-
Automating the Production of Communicative Gestures in Embodied Characters
Brian Ravenet, Catherine Pelachaud, Chloé Clavel, Stacy Marsella
Frontiers in Psychology, July 2018.
-
Model-based STFT phase recovery for audio source separation
Paul Magron, Roland Badeau, Bertrand David
IEEE Transactions on Audio, Speech and Language Processing, June 2018.
-
Student’s t Source and Mixing Models for Multichannel Audio Source Separation
Simon Leglaive, Roland Badeau, Gael Richard
IEEE/ACM Transactions on Audio, Speech and Language Processing, June 2018.
-
Slant Removal Technique for Historical Document Images
Ergina Kavallieratou, Laurence Likforman-Sulem, Nikos Vasilopoulos
Journal of Imaging, June 2018.
-
Big Data : enjeux technologiques et impact scientifique
Stéphan Clémençon
Annales des Mines - Enjeux Numériques, June 2018.
-
Hybrid Projective Nonnegative Matrix Factorization with Drum Dictionaries for Harmonic/Percussive Source Separation
Clément Laroche, Matthieu Kowalski, Hélène Papadopoulos, Gael Richard
IEEE/ACM Transactions on Audio, Speech and Language Processing, April 2018.
-
Efficient Bayesian Model Selection in PARAFAC via Stochastic Thermodynamic Integration
Thanh Huy Nguyen, Umut Şimşekli, Gael Richard, Ali Taylan Cemgil
IEEE Signal Processing Letters, April 2018.
-
Output Fisher Embedding Regression
Moussab Djerrab, A. Garcia Rojas, Maxime Sangnier, Florence d’Alché-Buc
Machine learning Journal, April 2018.
-
Big Data, le défi de la formation
Stéphan Clémençon
TEC Mobilité intelligente [Revue TEC : Transport Environnement Circulation], April 2018.
-
Intelligence artificielle: défis scientifiques et attentes socio-économiques
Stéphan Clémençon
Annales des Mines - Enjeux Numériques, March 2018.
-
Restarting the accelerated coordinate descent method with a rough strong convexity estimate
Olivier Fercoq, Zheng Qu
Computational Optimization and Applications, March 2018.
-
On the weak convergence of the empirical conditional copula under a simplifying assumption
François Portier, Johan Segers
Journal of Multivariate Analysis, February 2018.
-
Low Frequency RFID system for identification and localization in smart cities - Comparison with UHF RFID
Vighnesh Gharat, Genevieve Baudoin, Elizabeth Colin, Damien Richard Richard
International Journal of RF Technologies, February 2018.
-
Learning about random media from near-surface backscattering: using machine learning to measure particle size and concentration
Artur L. Gower, Robert M. Gower, Jonathan Deakin, William J. Parnell, I. David Abrahams.
arXiv:1801.05490, February 2018.
-
Incidence of paradoxical reactions in patients treated with tocilizumab for rheumatoid arthritis: Data from the French registry REGATE
William Terreaux, Claire Masson, Jean-Paul Eschard, Thomas Bardin, Arnaud Constantin, Loïc Le Dantec, Christian Marcelli, Aleth Perdriger, Claire Scotto Di Fazano, Daniel Wendling, Jean Sibilia, Jacques Morel, Jean Salmon
Joint Bone Spine, January 2018.
-
Transcription of Spanish Historical Handwritten Documents with Deep Neural Networks
Emilio Granell, Edgard Chammas, Laurence Likforman-Sulem, Carlos-D Martínez-Hinarejos, Chafic Mokbel, Bogdan Cirstea
Journal of Imaging, January 2018.
-
Optimization of classification and regression analysis of four monoclonal antibodies from Raman spectra using collaborative machine learning approach
Laetitia Minh Maï Le, Balázs Kégl, Alexandre Gramfort, Camille Marini, David Nguyen, Mehdi Cherti, Sana Tfaili, Ali Tfayli, Arlette Baillet-Guffroy, Patrice Prognon, Pierre Chaminade, Eric Caudron
Talanta, 2018.
-
Profitable Bandits
Mastane Achab, Stéphan Clémençon, Aurélien Garivier
Proceedings of Machine Learning Research, 2018.
-
Mass volume curves and anomaly ranking
Stéphan Clémençon, Albert Thomas
Electronic Journal of Statistics , 2018.
-
A Smooth Primal-Dual Optimization Framework for Nonsmooth Composite Minimization
Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher
SIAM Journal on Optimization, 2018.
-
Prediction of weakly locally stationary processes by auto-regression
François Roueff, Andres Sanchez-Perez
ALEA : Latin American Journal of Probability and Mathematical Statistics, 2018.
-
Integral estimation based on Markovian design
Romain Azaïs, Bernard Delyon, François Portier
Advances in Applied Probability, 2018. 45 pages.
-
Training and Compensation of Class-conditioned NMF Bases for Speech Enhancement
Hanwook Chung, Roland Badeau, Eric Plourde, Benoît Champagne
Neurocomputing, 2018.
-
Audio-Visual Analysis of Music Performances
Zhiyao Duan, Slim Essid, Cynthia Liem, Gael Richard, Gaurav Sharma
IEEE Signal Processing Magazine, 2018.
-
A Generative Model for Non-Intrusive Load Monitoring in Commercial Buildings
Simon Henriet, Umut Şimşekli, Benoît Fuentes, Gael Richard
Energy and Buildings, 2018.
Unpublished
-
Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision
Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Q. K. Duong, Patrick Pérez, Gael Richard
November 2018. working pape....
-
Mass Volume Curves and Anomaly Ranking
Stéphan Clémençon, Albert Thomas
August 2018. working pape....
-
Parametric versus nonparametric: the fitness coefficient
Gildas Mazo, François Portier
June 2018. working pape....
-
Infinite-Task Learning with Vector-Valued RKHSs
Romain Brault, Alex Lambert, Zoltan Szabo, Maxime Sangnier, Florence d’Alché-Buc
May 2018. 19 pages, 5 ....
-
Sharp exponential inequalities in survey sampling: conditional Poisson sampling schemes
Patrice Bertail, Stéphan Clémençon
February 2018. working pape....
-
Nonnegative Matrix Factorization: a (Semi-) Parametric Statistical View
Patrice Bertail, Stéphan Clémençon, Mélanie Zetlaoui
February 2018. working pape....
patent
-
Procédé de traitement d’un signal audio et dispositif électronique correspondant, produit-programme lisible par ordinateur non transitoire et support d’informations lisible par ordinateur
Sanjeel Parekh, Alexey Ozerov, Quang-Khanh-Ngoc Duong, Gael Richard, Slim Essid, Patrick Pérez
France, October 2018.
-
Procédé de classification et de localisation d’événements audiovisuels et appareil correspondant, produit-programme lisible par ordinateur et support d’informations lisible par ordinateur
Quang-Khanh-Ngoc Duong, Alexey Ozerov, Sanjeel Parekh, Slim Essid, Gael Richard, Patrick Pérez
France, March 2018.
-
Estimation d’un circuit électrique équivalent, à résistances et capacités thermiques, d’un bâtiment pour le contrôle optimal du chauffage du bâtiment
Tahar Nabil, Jean-Marc Jicquel, Alexandre Girard, François Roueff
France, January 2018.
proceedings
-
On Binary Classification in Extreme Regions
Hamid Jalalzai, Stéphan Clémençon, Anne Sabourin
September 2018.
Book Chapters
-
Applying source separation to music
Bryan Pardo, Antoine Liutkus, Zhiyao Duan, Gael Richard
Audio Source Separation and Speech Enhancement, August 2018.
-
Subsampling for big data : some recent advances
Patrice Bertail, Ons Jelassi, Jessica Tressou, Mélanie Zetlaoui
Recent advances in Nonparametric Statistics, ISNPS 2018, Avignon, Springer Verlag, Berlin., 2018.
-
Nonnegative Matrix Factorization
Roland Badeau, Tuomas Virtanen
Audio Source Separation and Speech Enhancement, 2018.
Theses
-
De l’analyse d’opinions à la détection des problèmes d’interactions humain-machine : application à la gestion de la relation client
Irina Poltavchenko
June 2018.
-
Advances in automating analysis of neural time series data
Mainak Jas
April 2018.
-
Contributions to sparse source localization for MEG/EEG brain imaging
Yousra Bekhti
March 2018.
-
Apprentissage de représentations pour l’analyse de scènes sonores
Victor Bisot
March 2018.
Technical Reports
Conference Articles
-
Signal and Noise Detection using Recurrent Autoencoders on Seismic Marine Data
Mathieu Chambefort, Emilie Chautru, Stéphan Clémençon, Guillaume Poulain, Nicolas Salaun
NIPS, Workshop in Machine Learning for Geophysical & Geochemical Signals, Montréal, Canada, December 2018.
-
A Structured Prediction Approach for Label Ranking
Anna Korba, Alexandre Garcia, Florence d’Alché-Buc
Nips 2018, Montreal, Canada, December 2018.
-
Asymptotic optimality of adaptive importance sampling
Bernard Delyon, François Portier
32nd Conference on Neural Information Processing Systems (NIPS), Montréal, Canada, December 2018.
-
Machine Learning for Survival Analysis: Empirical Risk Minimization for Censored Distribution-Free Regression with Applications.
Guillaume Ausset, Stéphan Clémençon, François Portier
NIPS, Workshop ML4H, Montréal, Canada, December 2018.
-
Disfluencies and Teaching Strategies in Social Interactions Between a Pedagogical Agent and a Student: Background and Challenges
Tanvi Dinkar, Ioana Vasilescu, Catherine Pelachaud, Chloé Clavel
SEMDIAL 2018 (AixDial), The 22nd workshop on the Semantics and Pragmatics of Dialogue, Aix-en-Provence, France, November 2018.
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Detecting User’s Likes and Dislikes for a Virtual Negotiating Agent
Caroline Langlet, Chloé Clavel
ICMI ’18: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, Boulder CO USA, France, October 2018.
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ANALYSIS OF COMMON DESIGN CHOICES IN DEEP LEARNING SYSTEMS FOR DOWNBEAT TRACKING
Magdalena Fuentes, Brian Mcfee, Hélène C Crayencour, Slim Essid, Juan P Bello
The 19th International Society for Music Information Retrieval Conference, Paris, France, September 2018.
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MAIN MELODY EXTRACTION WITH SOURCE-FILTER NMF AND CRNN
Dogac Basaran, Slim Essid, Geoffroy Peeters
19th International Society for Music Information Retreival, Paris, France, September 2018.
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Unified Stochastic Reverberation Modeling
Roland Badeau
26th European Signal Processing Conference (EUSIPCO), Rome, Italy, September 2018.
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Transport Mode Detection when Fine-grained and Coarse-grained Data Meet
Fereshteh Asgari, Stéphan Clémençon
2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE), Singapore, Singapore, September 2018.
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Multi-task Feature Learning for EEG-based Emotion Recognition Using Group Nonnegative Matrix Factorization
Ayoub Hajlaoui, Mohamed Chetouani, Slim Essid
2018 26th European Signal Processing Conference (EUSIPCO), Rome, France, September 2018.
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Learning with Noise-Contrastive Estimation: Easing training by learning to scale
Matthieu Labeau, Alexandre Allauzen
27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, NM, United States, August 2018.
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Automatic Nonverbal Behavior Generation from Image Schemas
Brian Ravenet, Chloé Clavel, Catherine Pelachaud
International Conference on Autonomous Agents and Multiagent Systems, Stockholm, Sweden, July 2018.
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A Probabilistic Theory of Supervised Similarity Learning: Pairwise Bipartite Ranking and Pointwise ROC Curve Optimization
Stéphan Clémençon, Robin Vogel, Aurélien Bellet
ICML 2018 - Thirty-fifth International Conference on Machine Learning, Stockholm, Sweden, July 2018.
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Structured Output Learning with Abstention: Application to Accurate Opinion Prediction
Alexandre Garcia, Slim Essid, Chloé Clavel, Florence d’Alché-Buc
35th International Conference on Machine Learning18., Stockholm, Sweden, July 2018.
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Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization
Umut Şimşekli, Cagatay Yildiz, Thanh Huy Nguyen, Gael Richard, A Taylan Cemgil
ICML 2018, Stockholm, Sweden, July 2018.
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Multichannel Audio Modeling with Elliptically Stable Tensor Decomposition
Mathieu Fontaine, Fabian-Robert Stöter, Antoine Liutkus, Umut Şimşekli, Romain Serizel, Roland Badeau
LVA/ICA 2018 - 14th International Conference on Latent Variable Analysis and Signal Separation, Surrey, United Kingdom, July 2018.
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A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming
Alp Yurtsever, Olivier Fercoq, Volkan Cevher, Francesco Locatello
International Conference on Machine Learning, Stockholm, Sweden, July 2018.
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Celer: a Fast Solver for the Lasso with Dual Extrapolation
Mathurin Massias, Alexandre Gramfort, Joseph Salmon
ICML 2018 - 35th International Conference on Machine Learning, Stockholm, Sweden, July 2018.
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A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization
Robin Vogel, Aurélien Bellet, Stéphan Clémençon
Proceedings of the 35 th International Conference on Machine Learning, Stochkolm, Sweden, July 2018.
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Algorithmes à base d’échantillonage pour l’entraînement de modèles de langue neuronaux
Matthieu Labeau, Alexandre Allauzen
25e conférence sur le Traitement Automatique des Langues Naturelles (TALN), Rennes, France, May 2018.
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On Aggregation in Ranking Median Regression.
Stéphan Clémençon, Anna Korba
ESANN 2018 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, April 2018.
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Handwriting Recognition of Historical Documents with Few Labeled Data
Edgard Chammas, Chafic Mokbel, Laurence Likforman-Sulem
2018 13th IAPR International Workshop on Document Analysis Systems (DAS), Vienna, France, April 2018.
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A Constant Step Stochastic Douglas-Rachford Algorithm with Application to Non Separable Regularizations
Adil Salim, Pascal Bianchi, Walid Hachem
ICASSP 2018, Calgary, Canada, April 2018.
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An ensemble learning approach to detect epileptic seizures from long intracranial EEG recordings
Jean-Baptiste Schiratti, Jean-Eudes Le Douget, Michel Quyen, Slim Essid, Alexandre Gramfort
ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP, Calgary, Canada, April 2018.
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Attitude Classification in Adjacency Pairs of a Human-Agent Interaction with Hidden Conditional Random Fields
Valentin Barriere, Chloé Clavel, Slim Essid
ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, April 2018.
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Alpha-stable low-rank plus residual decomposition for speech enhancement
Umut Şimşekli, Halil Erdogan, Simon Leglaive, Antoine Liutkus, Roland Badeau, Gael Richard
ICASSP: International Conference on Acoustics, Speech, and Signal Processing, Calgary, Canada, April 2018.
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Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression
Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), Lanzarote, Spain, April 2018.
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Beating Monte-Carlo Integration: a Nonparametric Study of Kernel Smoothing Methods
Stéphan Clémençon, François Portier
AISTATS 2018: The 21ST International Conference on Artificial Intelligence and Statistics, PMLR, Lanzarote, Spain, April 2018.
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Greedy stochastic algorithms for entropy-regularized optimal transport problems
Brahim Khalil Abid, Robert M. Gower
Proceedings of the 21th International Conference on Artificial Intelligence and Statistics, Lanzarote, Spain, April 2018.
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A secure IoT architecture for streaming data analysis and anomaly detection
Stéphan Clémençon, Safa Boudabous, Ons Jelassi, Mariona Caros Roca
1st International Workshop on Security and Privacy for the Internet-of-Things, Orlando, Florida, United States, April 2018.
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Optimisation d’un critère d’Intelligibilité de la Parole dans un Contexte Bruité Automobile
Enguerrand Gentet, Bertrand David, Sébastien Denjean, Gael Richard, Vincent Roussarie
CFA 2018, Le Havre, France, April 2018.
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A Reliable Method to Predict Parkinson’s Disease Stage and Progression based on Handwriting and Re-sampling Approaches
Catherine Taleb, Maha Khachab, Chafic Mokbel, Laurence Likforman-Sulem
2018 IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition (ASAR), London, United Kingdom, March 2018.
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Energy Disaggregation for Commercial Buildings: A Statistical Analysis
Simon Henriet, Umut Şimşekli, Gael Richard, Benoît Fuentes
”, International Workshop on Non-Intrusive Load Monitoring (NILM2018), Austin, Tx, United States, March 2018.
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The EMPATHIC Project: Building an Expressive, Advanced Virtual Coach to Improve Independent Healthy-Life-Years of the Elderly
Luisa Brinkschulte, Natascha Mariacher, Stephan Schlögl, Maria Ines Torres, Raquel Justo, Anna Esposito, Gennaro Cordasco, Gérard Chollet, Cornelius Glackin, Colin Pickard, Dijana Petrovska-Delacrétaz, Mohamed Amine Hmani, Aymen Mtibaa, Anaïs Fernandez, Daria Kyslitska, Begoña Fernandez-Ruanova, Jofre Tenorio-Laranga, Mari Aksnes, Maria Stylianou Korsnes, Miriam Reiner, Fredrik Lindner, Olivier Deroo, Olga Gordeeva
Smarter Lives 18, Insbrück, Austria, February 2018.
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Convergence Speed of a Primal-Dual Coordinate Descent Method
Olivier Fercoq
KAUST Research Workshop on Optimization and Big Data, Tuwal, Saudi Arabia, February 2018.
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Statistical Inference with Ensemble of Clustered Desparsified Lasso
Jérôme-Alexis Chevalier, Joseph Salmon, Bertrand Thirion
MICCAI, Grenade, Spain, 2018.
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Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events
Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q K Duong, Patrick Pérez, Gael Richard
CVPR Workshop, Salt Lake city, United States, 2018.
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Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods
Robert M. Gower, Nicolas Le Roux, Francis Bach
International Conference on Artificial Intelligence and Statistics (AISTATS), Canary Islands, Spain, 2018. 17 pages, 2 ....
2017
Journal Articles
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Non-linear auto-regressive models for cross-frequency coupling in neural time series
Tom Dupré La Tour, Lucille Tallot, Laetitia Grabot, Valérie Doyère, Virginie Wassenhove, Yves Grenier, Alexandre Gramfort
PLoS Computational Biology, December 2017.
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Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond
Mastane Achab, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade
Machine Learning and Knowledge Discovery in Databases ECML PKDD 2017, December 2017.
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Fast DD-classification of functional data
Karl Mosler, Pavlo Mozharovskyi
Statistical Papers, December 2017.
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Relations between Automatically Extracted Motion Features and the Quality of Mother-Infant Interactions at 4 and 13 Months
Ida Egmose, Giovanna Varni, Katharina Cordes, Johanne Smith-Nielsen, Mette Skovgaard Væver, Simo Køppe, David Cohen, Mohamed Chetouani
Frontiers in Psychology, December 2017.
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Computational Study of Primitive Emotional Contagion in Dyadic Interactions
Giovanna Varni, Isabelle Hupont, Chloé Clavel, Mohamed Chetouani
IEEE Transactions on Affective Computing, November 2017.
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Adapting to unknown noise level in sparse deconvolution
Claire Boyer, Yohann Castro, Joseph Salmon
Information and Inference, September 2017.
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Sparse representation of multivariate extremes with applications to anomaly detection
Nicolas Goix, Anne Sabourin, Stéphan Clémençon
Journal of Multivariate Analysis, September 2017.
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Fast Langevin based algorithm for MCMC in high dimensions
Alain Durmus, Gareth Roberts, Gilles Vilmart, Konstantinos Zygalakis
The Annals of Applied Probability, August 2017.
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Bernstein-type exponential inequalities in survey sampling: conditional Poisson sampling schemes
Stéphan Clémençon, P. Bertail
Bernoulli, July 2017.
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SMART : Règles d’associations temporelles de signaux sociaux pour la synthèse d’un Agent Conversationnel Animé avec une attitude spécifique
Kévin Bailly, Chloé Clavel, Thomas Janssoone, Gael Richard
Revue des Sciences et Technologies de l’Information - Série RIA : Revue d’Intelligence Artificielle, July 2017.
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Feature Learning with Matrix Factorization Applied to Acoustic Scene Classification
Victor Bisot, Romain Serizel, Slim Essid, Gael Richard
IEEE/ACM Transactions on Audio, Speech and Language Processing, May 2017.
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Speech Intelligibility Improvement in Car Noise Environment by Voice Transformation
Karan Nathwani, Gael Richard, David Bertrand, Pierre Prablanc, Vincent Roussarie
Speech Communication, May 2017.
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Implementing and Evaluating a Laughing Virtual Character
Maurizio Mancini, Beatrice Biancardi, Florian Pecune, Giovanna Varni, Yu Ding, Catherine Pelachaud, Gualtiero Volpe, Antonio Camurri
ACM Transactions on Internet Technology, February 2017.
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On Stochastic Proximal Gradient Algorithms
Y. Atchadé, Gersende Fort, Eric Moulines
Journal of Machine Learning Research, January 2017.
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Parameter estimation of perfusion models in dynamic contrast-enhanced imaging: a unified framework for model comparison
Blandine Romain, Laurence Rouet, Daniel Ohayon, Olivier Lucidarme, Florence d’Alché-Buc, Véronique Letort
Medical Image Analysis, January 2017.
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A sharp oracle inequality for Graph-Slope
Pierre C. Bellec, Joseph Salmon, Samuel Vaiter
Electronic Journal of Statistics , 2017.
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Optimal two-step prediction in regression
Didier Chételat, Johannes Lederer, Joseph Salmon
Electronic Journal of Statistics , 2017.
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CLEAR: Covariant LEAst-Square Refitting with Applications to Image Restoration
Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter
SIAM Journal on Imaging Sciences, 2017.
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Règles d’Associations Temporelles de signaux sociaux pour la synthèse d’Agents Conversationnels Animés : Application aux attitudes sociales
Thomas Janssoone, Chloé Clavel, Kevin Bailly, Gael Richard
Revue des Sciences et Technologies de l’Information - Série RIA : Revue d’Intelligence Artificielle, 2017.
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Reassigned Time-Frequency Representations of Discrete Time Signals and Application to the Constant Q Transform
Sébastien Fenet, Roland Badeau, Gael Richard
Signal Processing, 2017.
-
Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression
Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Vincent Leclère, Joseph Salmon
Journal of Physics: Conference Series, 2017.
Technical Reports
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Analysis of Gallica and Data BnF logs and Modelling of Behaviour Patterns
Florence d’Alché-Buc, Valérie Beaudouin, Emmanuelle Bermès, Philippe Chevallier, Aude Le Moullec-Rieux, Adrien Nouvellet, Christophe Prieur, François Roueff
December 2017.
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Analyse des traces d’usage de Gallica
Adrien Nouvellet, Valérie Beaudouin, Florence d’Alché-Buc, Christophe Prieur, François Roueff
November 2017.
Conference Articles
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Continuous Ranking trough Oriented Recursive Partitions
Stéphan Clémençon, Mastane Achab
NIPS, Longbeach, United States, December 2017.
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Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
Ahmet Alacaoglu, Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher
Conference on Neural Information Processing Systems, Long Beach, United States, December 2017.
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Ranking Median Regression: Learning to Order through Local Consensus
Stéphan Clémençon, Anna Korba, Eric Sibony
NIPS Workshop DISCML 2017, Longbeach, United States, December 2017.
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In-the-wild chatbot corpus: from opinion analysis to interaction problem detection
Irina Maslowski, Delphine Lagarde, Chloé Clavel
ICNLSSP 2017, Casablanca, Morocco, December 2017.
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Data sparse nonparametric regression with epsilon-insensitive losses
Maxime Sangnier, Olivier Fercoq, Florence d’Alché-Buc
9th Asian Conference on Machine Learning (ACML 2017), Séoul, South Korea, November 2017.
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UE-HRI: a new dataset for the study of user engagement in spontaneous human-robot interactions
Atef Ben-Youssef, Chloé Clavel, Slim Essid, Miriam Bilac, Marine Chamoux, Angelica Lim
the 19th ACM International Conference, Glasgow, France, November 2017.
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An Adaptive Distributed Asynchronous Algorithm with Application to Target Localization
Rahul Mourya, Pascal Bianchi, Adil Salim, Cédric Richard
International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CURAÇAO, DUTCH ANTILLES, Curaçao, November 2017.
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Nonnegative Feature Learning Methods for Acoustic Scene Classification
Victor Bisot, Romain Serizel, Slim Essid, Gael Richard
DCASE 2017 - Workshop on Detection and Classification of Acoustic Scenes and Events, Munich, Germany, November 2017.
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One Class Splitting Criteria for Random Forests
Nicolas Goix, Nicolas Drougard, Romain Brault, Mael Chiapino
The 9th Asian Conference on Machine Learning, Seoul, South Korea, November 2017.
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The potential of Image Schemas for computing automatically metaphoric gestures for embodied conversational agents
Brian Ravenet, Chloé Clavel, Catherine Pelachaud
European Symposium Series on Multimodal Communication, Bielefeld, Germany, October 2017.
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Amplitude and Phase Dereverberation of Harmonic Signals
Arthur Belhomme, Roland Badeau, Yves Grenier, Eric Humbert
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, New York, United States, October 2017.
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Lévy NMF for Robust Nonnegative Source Separation
Paul Magron, Roland Badeau, Antoine Liutkus
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2017), New Paltz, NY, United States, October 2017.
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Separating Time-Frequency Sources from Time-Domain Convolutive Mixtures Using Non-negative Matrix Factorization
Simon Leglaive, Roland Badeau, Gael Richard
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, New York, United States, October 2017.
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Guiding Audio Source Separation by Video Object Information
Sanjeel Parekh, Slim Essid, Alexey Ozerov, Quang-Khanh-Ngoc Duong, Patrick Perez, Gael Richard
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, New York, United States, October 2017.
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Explaining the Parameterized Wiener Filter with Alpha-Stable Processes
Mathieu Fontaine, Antoine Liutkus, Laurent Girin, Roland Badeau
WASPAA 2017 - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, New York, United States, October 2017.
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Identification of a thermal building model by learning the dynamics of the solar flux
Tahar Nabil, François Roueff, Jean-Marc Jicquel, Alexandre Girard
Machine Learning for Signal Processing Workshop (MLSP), Tokyo, Japan, September 2017.
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Machine-Learning Meets Extreme Value Theory
Stéphan Clémençon
Annual Conference of the German Statistical Society, Rostock, Germany, September 2017.
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Max K-armed Bandits: On EstremeHunter and an Alternative Approach
Mastane Achab, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade
ECML, Skopje, Macedonia, September 2017.
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A Web-Based Platform for Annotating Sentiment-Related Phenomena in Human-Agent Conversations.
Caroline Langlet, Chloé Clavel
International Conference on Intelligent Virtual Agents, Stockholm, Sweden, September 2017.
-
Leveraging deep neural networks with nonnegative representations for improved environmental sound classification
Victor Bisot, Romain Serizel, Slim Essid, Gael Richard
IEEE International Workshop on Machine Learning for Signal Processing MLSP, Tokyo, Japan, September 2017.
-
Impact of ferromagnetic obstacles on LF-RFID based indoor positioning systems
Vighnesh Gharat, Elizabeth Colin, Geneviève Baudoin, Damien Richard Richard
2017 IEEE International Conference on RFID Technology & Application (RFID-TA), Warsaw, Poland, September 2017.
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Indoor performance analysis of LF-RFID based positioning system: Comparison with UHF-RFID and UWB
Vighnesh Gharat, Elizabeth Colin, Geneviève Baudoin, Damien Richard Richard
2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Sapporo, Japan, September 2017.
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Ondelettes analytiques, application à l’analyse des processus multivariés à longue mémoire
Irène Gannaz, Sophie Achard, Marianne Clausel, François Roueff
GRETSI 2017 - XXVIème Colloque francophone de traitement du signal et des images, Juan-Les-Pins, France, September 2017.
-
Histoire de la transformée de Mellin
Jean-Marie Nicolas, Roland Badeau
Colloque GRETSI, Juan-Les-Pins, France, September 2017.
-
Lévy NMF : un modèle robuste de séparation de sources non-négatives
Paul Magron, Roland Badeau, Antoine Liutkus
Colloque GRETSI, Juan-Les-Pins, France, September 2017.
-
Séparation de sources audio en milieu réverbérant : Factorisation en matrices non-négatives et représentation temporelle du mélange convolutif
Simon Leglaive, Roland Badeau, Gael Richard
Colloque GRETSI, Juan-Les-Pins, France, September 2017.
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Convergence d’un algorithme du gradient proximal stochastique à pas constant et généralisation aux opérateurs monotones aléatoires
Adil Salim, Pascal Bianchi, Walid Hachem
GRETSI, Juan-les-Pins, France, September 2017.
-
Character and Subword-Based Word Representation for Neural Language Modeling Prediction
Matthieu Labeau, Alexandre Allauzen
Proceedings of the First Workshop on Subword and Character Level Models in NLP, Copenhagen, Denmark, September 2017.
-
Méthode de Monte Carlo à dynamique hamiltonienne pour estimation d’un modèle thermique de bâtiment
Tahar Nabil, Eric Moulines, Jean-Marc Jicquel, Alexandre Girard, Christian Lajaunie
XXVIe colloque GRETSI, Juan-les-Pins, France, September 2017.
-
Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields
Valentin Barriere, Chloé Clavel, Slim Essid
Interspeech 2017, Stockholm, Sweden, August 2017.
-
Semi-Blind Student’s t Source Separation for Multichannel Audio Convolutive Mixtures
Simon Leglaive, Roland Badeau, Gael Richard
25th European Signal Processing Conference (EUSIPCO), Kos, Greece, August 2017.
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Hyperparameter Estimation in Maximum a Posteriori Regression Using Group Sparsity with an Application to Brain Imaging
Yousra Bekhti, Roland Badeau, Alexandre Gramfort
25th European Signal Processing Conference (EUSIPCO) , Kos, Greece, August 2017.
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Distributed Approach for Deblurring Large Images with Shift-Variant Blur
Rahul Mourya, André Ferrari, Rémi Flamary, Pascal Bianchi, Cédric Richard
2017 25th European Signal Processing Conference, Kos Island, Greece, August 2017.
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Amplitude and Phase Dereverberation of Monocomponent Signals
Arthur Belhomme, Roland Badeau, Yves Grenier, Eric Humbert
25th European Signal Processing Conference (EUSIPCO), Kos, Greece, August 2017.
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EMOEEG: A new multimodal dataset for dynamic EEG-based emotion recognition with audiovisual elicitation
Anne-Claire Conneau, Ayoub Hajlaoui, Mohamed Chetouani, Slim Essid
2017 25th European Signal Processing Conference (EUSIPCO), Kos, Greece, August 2017.
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Scalable Source Localization with Multichannel Alpha-Stable Distributions
Mathieu Fontaine, Charles Vanwynsberghe, Antoine Liutkus, Roland Badeau
25th European Signal Processing Conference (EUSIPCO), Kos, Greece, August 2017.
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Automatic Measures to Characterise Verbal Alignment in Human-Agent Interaction
Guillaume Dubuisson Duplessis, Chloé Clavel, Frédéric Landragin
18th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), Saarbrücken, Germany, August 2017.
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Analytic wavelets for multivariate time series analysis
Irène Gannaz, Sophie Achard, Marianne Clausel, François Roueff
SPIE Optical Engineering + Applications, San Diego, Californie, United States, August 2017.
-
Matrix Co-Factorisation and Applications to Music Analysis
Slim Essid
Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML) 2017, Sydney, Australia, August 2017.
-
Beat gesture prediction using prosodic features
Varun Jain, Chloé Clavel, Catherine Pelachaud
3rd International Workshop on Virtual Social Interaction (VSI 2017), Bielefeld, Germany, July 2017.
-
Concentration inequalities for Harris recurrent Markov chains
Gabriela Ciolek, P. Bertail
The 39th Conference on Stochastic Processes and their Applications, Moscow, Russia, July 2017.
-
Characterizing the maximum parameter of the total-variation denoising through the pseudo-inverse of the divergence
Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter
Signal Processing with Adaptive Sparse Structured Representations (SPARS’17), Lisbon, Portugal, June 2017.
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Représentations continues dérivées des caractères pour un modèle de langue neuronal à vocabulaire ouvert
Matthieu Labeau, Alexandre Allauzen
TALN-RECITAL 2017, Orléans, France, June 2017.
-
Empirical Minimum Volume Set on the Sphere: A Canonical Anomaly Detection Method
Stéphan Clémençon, Alexandre Gramfort, Anne Sabourin, Albert Thomas
AISTATS, Fort Lauderdale, United States, June 2017.
-
Critical Regions for Anomaly Detection via Empirical MV-sets on the Sphere
Stéphan Clémençon
EVA 2017, Delft, Netherlands, June 2017.
-
A Learning Theory of Ranking Aggregation
Stéphan Clémençon, Anna Korba, Eric Sibony
AISTATS, Fort Lauderdale, United States, June 2017.
-
Concentration inequalities for regenerative and Harris recurrent Markov chains with applications to statistical learning
Stéphan Clémençon, Gabriela Ciolek, P. Bertail
Séminaire généraliste de l’équipe de Probabilités et Statistiques, Nancy, France, May 2017.
-
Bernoulli Rank-1 Bandits for Click Feedback
Csaba Szepesvari, Bratislav Kveton, Sumeet Katariya, Claire Vernade
IJCAI, Sidney, Australia, May 2017.
-
Sparse Stochastic Bandits
Joon Kwon, Vianney Perchet, Claire Vernade
COLT, Amsterdam, Netherlands, May 2017.
-
Stochastic Rank-1 Bandits
Zheng Wen, Sumeet Kataryia, Bratislav Kveton, Csaba Szepesvari, Claire Vernade
AISTATS, Fort Lauderdale, United States, May 2017.
-
A quantitative analysis of digital library user behaviours based on access logs
Adrien Nouvellet, Florence d’Alché-Buc, Valérie Beaudouin, Christophe Prieur, François Roueff
QQML 2017, Limerick, Ireland, May 2017.
-
Sharp Bernstein and Hoeffding type inequalities for regenerative Markov chains
Gabriela Ciolek, P. Bertail
Les probabilités de demain, Bures-sur-Yvette, France, May 2017.
-
Bootstrapping periodically autoregressive models
Gabriela Ciolek
Journée annuelle de la Chaire Machine Learning for Big Data, Paris, France, May 2017.
-
Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere
Albert Thomas, Stéphan Clémençon, Alexandre Gramfort, Sabourin Anne
AISTATS, Fort Lauderdale, United States, April 2017.
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Increasing Public Value through Co-Creation of Open Knowledge
Jerry Andriessen, Michael Baker, Gennaro Cordasco, Rosario Donato, Delfina Malandrino, Giovannella Palmieri, Mirjam Pardijs, Andrea Petta, D. Pirozzi, Vittorio Scarano
ICEDEG 2017 - 4th International Conference on eDemocracy & eGovernment, Quito, Ecuador, April 2017.
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Feature selection for an improved Parkinson’s disease identification based on handwriting
Catherine Taleb, Laurence Likforman-Sulem, Maha Khachab, Chafic Mokbel
2017 1st International Workshop on Arabic Script Analysis and Recognition (ASAR 2017), Nancy, France, April 2017.
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An experimental analysis of Noise-Contrastive Estimation: the noise distribution matters
Matthieu Labeau, Alexandre Allauzen
15th Conference of the European Chapter of the Association for Computational Linguistics:, Valencia, Spain, April 2017.
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Supervised Group Nonnegative Matrix Factorisation With Similarity Constraints And Applications To Speaker Identification
Romain Serizel, Victor Bisot, Slim Essid, Gael Richard
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, United States, March 2017.
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Motion informed audio source separation
Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Duong, Patrick Pérez, Gael Richard
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), New Orleans, United States, March 2017.
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Parallelized Stochastic Gradient Markov Chain Monte Carlo Algorithms for Non-Negative Matrix Factorization
Umut Şimşekli, Alain Durmus, Roland Badeau, Gael Richard, Éric Moulines, Taylan Cemgil
42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, United States, March 2017.
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Multichannel audio source separation: variational inference of time-frequency sources from time-domain observations
Simon Leglaive, Roland Badeau, Gael Richard
42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), La Nouvelle Orléans, LA, United States, March 2017.
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Overlapping sound event detection with supervised Nonnegative Matrix Factorization
Victor Bisot, Slim Essid, Gael Richard
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, France, March 2017.
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Drum extraction in single channel audio signals using multi-layer non negative matrix factor deconvolution
Clément Laroche, Hélène Papadopoulos, Matthieu Kowalski, Gael Richard
The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), Nouvelle Orleans, United States, March 2017.
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Alpha-Stable Multichannel Audio Source Separation
Simon Leglaive, Umut Şimşekli, Antoine Liutkus, Roland Badeau, Gael Richard
42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, United States, March 2017.
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Phase-dependent anisotropic Gaussian model for audio source separation
Paul Magron, Roland Badeau, Bertrand David
42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, United States, March 2017.
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Sketching for nearfield acoustic imaging of heavy-tailed sources
Mathieu Fontaine, Charles Vanwynsberghe, Antoine Liutkus, Roland Badeau
13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Grenoble, France, February 2017.
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On the Use of Latent Mixing Filters in Audio Source Separation
Laurent Girin, Roland Badeau
LVA/ICA 2017 - 13th International Conference on Latent Variable Analysis and Signal Separation, Grenoble, France, February 2017.
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Nonnegative Matrix Factorisation for multimodal data analysis
Slim Essid
Dipartimento di Elettronica, Informazione e Bioingegeria (DEIB), Politecnico di Milano, Milan, Italy, February 2017.
-
Parametric models of phase-amplitude coupling in neural time series
Tom Dupré La Tour, Yves Grenier, Alexandre Gramfort
BASP, Villars-sur-Ollon, Switzerland, January 2017.
-
Uniform bootstrap central limit theorems for Harris chains
Gabriela Ciolek
Séminaire de statistique d’AgroParisTech, Paris, France, January 2017.
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Étude des perturbations des systèmes de positionnement magnéto-inductifs en intérieur, ” Journées nationales micorondes
Vighnesh Gharat, Elizabeth Colin, Geneviève Baudoin, Damien Richard Richard
Journées nationales microondes , Saint-Malo, France, 2017.
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Beat Gesture Prediction using Prosodic Features
Varun Jain, Chloé Clavel, Catherine I Pelachaud
3rd WS on Virtual Social Interaction, Bielefeld, Germany, 2017.
-
Towards the Generation of Expressive Co-Speech Gestures
Brian Ravenet, Chloé Clavel, Catherine I Pelachaud
3rd WS on Virtual Social Interaction, Bielefeld, Germany, 2017.
Unpublished
-
Random Fourier Features for Operator-Valued Kernels
Romain Brault, Florence d’Alché-Buc
October 2017. working pape....
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MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography
Galan Julia Guiomar Niso, Krzysztof J. Gorgolewski, Elizabeth Bock, Teon Brooks, Guillaume Flandin, Alexandre Gramfort, Richard N. Henson, Mainak Jas, Vladimir Litvak, Jeremy Moreau, Robert Oostenveld, Jan-Mathijs Schoffelen, François Tadel, Joseph Wexler, Sylvain Baillet
September 2017. working pape....
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Distributed Deblurring of Large Images of Wide Field-of-View
Rahul Mourya, André Ferrari, Rémi Flamary, Pascal Bianchi, Cédric Richard
May 2017. working pape....
patent
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Procédé et dispositif de détermination indirecte d’un flux solaire incident
Tahar Nabil, Jean-Marc Jicquel, Alexandre Girard, François Roueff
France, September 2017.
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Procédé et dispositif pour estimer un signal déréverbéré
Arthur Belhomme, Roland Badeau, Yves Grenier, Eric Humbert
France, May 2017.
Theses
Book Chapters
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Multiview Approaches to Event Detection and Scene Analysis
Slim Essid, Sanjeel Parekh, Ngoc Q. K. Duong, Romain Serizel, Alexey Ozerov, Fabio Antonacci, Augusto Sarti
Computational Analysis of Sound Scenes and Events, 2017.
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Acoustic Features for Environmental Sound Analysis
Romain Serizel, Victor Bisot, Slim Essid, Gael Richard
Computational Analysis of Sound Scenes and Events, 2017.
-
Multiview approaches to event detection and scene analysis
Slim Essid, Sanjeel Parekh, Ngoc Q. K. Duong, Romain Serizel, Alexey Ozerov, Fabio Antonacci, Augusto Sarti
Computational Analysis of Sound Scenes and Events, 2017.
2016
Books
-
Learning from Survey Training Samples : Rate Bounds for Horvitz-Thompson Risk Minimizers,
Patrice Bertail, Stéphan Clémençon, Guillaume Papa
2016.
Conference Articles
-
Using big steps in coordinate descent primal-dual algorithms
Pascal Bianchi, Olivier Fercoq
IEEE 55th Conference on Decision and Control (CDC), Las Vegas, NV, United States, December 2016.
-
Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo
Alain Durmus, Umut Şimşekli, Éric Moulines, Roland Badeau, Gael Richard
Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Barcelone, Spain, December 2016.
-
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability
Guillaume Papa, Stéphan Clémençon, Aurélien Bellet
Annual Conference on Neural Information Processing Systems (NIPS 2016), Barcelone, Spain, December 2016.
-
Joint quantile regression in vector-valued RKHSs
Maxime Sangnier, Olivier Fercoq, Florence d’Alché-Buc
Neural Information Processing Systems, Barcelona, France, December 2016.
-
Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers
Stéphan Clémençon, P. Bertail, Guillaume Papa
ACML, Hamilton, New Zealand, December 2016.
-
Machine listening techniques as a complement to video image analysis in forensics
Romain Serizel, Victor Bisot, Slim Essid, Gael Richard
IEEE International Conference on Image Processing, Phoenix, AZ, United States, September 2016.
-
Scaling up Vector Autoregressive Models With Operator-Valued Random Fourier Features
Romain Brault, Néhémy Lim, Florence d’Alché-Buc
2nd ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data (AALTD 2016), Riva Del Garda, Italy, September 2016.
-
Anechoic phase estimation from reverberant signals
Arthur Belhomme, Yves Grenier, Roland Badeau, Eric Humbert
15th International Workshop on Acoustic Signal Enhancement (IWAENC), Xi’an, China, September 2016.
-
Mini-batch stochastic approaches for accelerated multiplicative updates in nonnegative matrix factorisation with beta-divergence
Romain Serizel, Slim Essid, Gael Richard
IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016), Salerne, Italy, September 2016.
-
Two distributed algorithms for the deconvolution of large radio-interferometric multispectral images
Céline Meillier, Pascal Bianchi, Walid Hachem
Eusipco, Budapest, Hungary, September 2016.
-
Audio and Brain Research at Telecom ParisTech
Slim Essid
Hearing Seminar of the Center for Computer Research in Music and Acoustics (CCRMA), Stanford University, Stanford, United States, September 2016.
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SUPERVISED NONNEGATIVE MATRIX FACTORIZATION FOR ACOUSTIC SCENE CLASSIFICATION
Victor Bisot, Romain Serizel, Slim Essid, Gael Richard
IEEE international evaluation campaign on detection and classification of acousitc scenes and events (DCASE 2016), Budapest, Hungary, September 2016.
-
Building Stochastic Optimization Algorithms with Random Monotone Operators
Pascal Bianchi, Walid Hachem, Adil Salim
Eucco, Leuven, Belgium, September 2016.
-
Feature Adapted Convolutional Neural Networks for Downbeat Tracking
Simon Durand, Juan P. Bello, Bertrand David, Gael Richard
ICASSP 2016, Shanghai, China, September 2016.
-
Using Temporal Association Rules For the synthesis of Embodied Conversational Agent With a specific stance.
Thomas Janssoone, Chloé Clavel, Kévin Bailly, Gael Richard
International Conference on Intelligent Virtual Agents, Los Angeles, United States, September 2016.
-
Feature clustering for extreme events analysis, with application to extreme stream-flow data
Maël Chiapino, Anne Sabourin
ECML workshop ”New Frontiers in Mining Complex Patterns”, Riva del guarda, Italy, September 2016.
-
Autoregressive Moving Average Modeling of Late Reverberation in the Frequency Domain
Simon Leglaive, Roland Badeau, Gael Richard
European Signal Processing Conference (EUSIPCO), Budapest, Hungary, August 2016.
-
Maximum likelihood estimation of a low-order building model
Tahar Nabil, Éric Moulines, François Roueff, Jean-Marc Jicquel, Alexandre Girard
EUSIPCO 2016: 2016 24th European Signal Processing Conference, Budapest, Hungary, August 2016.
-
Nonnegative tensor factorization with frequency modulation cues for blind audio source separation
Elliot Creager, Noah Stein, Roland Badeau, Philippe Depalle
17th International Society for Music Information Retrieval (ISMIR) Conference, New York, NY, United States, August 2016.
-
Genre specific dictionaries for harmonic/percussive source separation
Clément Laroche, Hélène Papadopoulos, Matthieu Kowalski, Gael Richard
ISMIR 2016 - The 17th International Society for Music Information Retrieval Conference, New York, United States, August 2016.
-
Research on Nonnegative Matrix Factorisation at Telecom ParisTech
Slim Essid
Spotify Research Seminar, New York, United States, August 2016.
-
Improving a deep convolutional neural network architecture for character recognition
Bogdan Cirstea, Laurence Likforman-Sulem
Document Recognition and Retrieval, San Francisco, United States, August 2016.
-
Downbeat Detection with Conditional Random Fields and Deep Learned Features
Simon Durand, Slim Essid
International Society for Music Information Retrieval (ISMIR), New York City, United States, August 2016.
-
Exploitation de l’échelle d’écriture pour améliorer la reconnaissance automatique des textes manuscrits arabes
Edgard Chammas, Chafic Mokbel, Laurence Likforman-Sulem
CIFED 2016, Toulouse, France, August 2016.
-
Tied Spatial Transformer Networks for Digit Recognition
Bogdan Cirstea, Laurence Likforman-Sulem
ICFHR, Shenzen, China, August 2016.
-
Un algorithme de Gossip pour l’optimisation décentralisée de fonctions sur les paires
Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon
Cap 2016 - Conférence sur L’apprentissage automatique, Marseille, France, July 2016.
-
Learning Hyperparameters for Unsupervised Anomaly Detection
Albert Thomas, Alexandre Gramfort, Stéphan Clémençon
Conférence sur L’apprentissage automatique - Cap 2016, Marseille, France, July 2016.
-
Early and reliable event detection using proximity space representation
Maxime Sangnier, Jérôme Gauthier, A. Rakotomamonjy
ICML 2016 - 33rd International Conference on Machine Learning, New York, United States, June 2016. Conference o....
-
Nonparametric estimation of a shot-noise process
Paul Ilhe, François Roueff, Éric Moulines, Antoine Souloumiac
SSP 16 - Statistical Signal Processing Workshop, Palma de Mallorca, Spain, June 2016.
-
Anomaly Detection and Localisation using Mixed Graphical Models
Romain Laby, François Roueff, Alexandre Gramfort
ICML 2016 Anomaly Detection Workshop, New York, United States, June 2016.
-
M/EEG source localization with multi-scale time-frequency dictionaries
Yousra Bekhti, Daniel Strohmeier, Mainak Jas, Roland Badeau, Alexandre Gramfort
6th International Workshop on Pattern Recognition in Neuroimaging (PRNI), Trento, Italy, June 2016.
-
M/EEG source localization with multi-scale time-frequency dictionaries
Yousra Bekhti, Daniel Strohmeier, Mainak Jas, Roland Badeau, Alexandre Gramfort
6th International Workshop on Pattern Recognition in Neuroimaging (PRNI), Trento, Italy, June 2016.
-
Stochastic Quasi-Newton Langevin Monte Carlo
Umut Şimşekli, Roland Badeau, Taylan Cemgil, Gael Richard
International Conference on Machine Learning (ICML), New York, NY, United States, June 2016.
-
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions
Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon
International Conference on Machine Learning (ICML 2016), New York, United States, June 2016.
-
Subsampling for big data: some recent advances
Patrice Bertail, Ons Jelassi, Jessica Tressou, Mélanie Zetlaoui
4. Conference for the International Society of Nonparametric Statistics, Avignon, France, June 2016.
-
Modèle de distraction pour la sélection séquentielle de contenu
Olivier Cappé, Claire Vernade
Journées de Statistiques, Montpellier, France, June 2016.
-
Analyse et reconnaissance multimodale de signaux sociaux : application à la synthèse d’attitudes sociales d’un agent conversationnel animé
Thomas Janssoone, Chloé Clavel, Kévin Bailly, Gael Richard
WACAI, Brest, France, June 2016.
-
Désempilement non-paramétrique de la densité d’un processus shot-noise
Paul Ilhe, François Roueff, Eric Moulines, Antoine Souloumiac
48èmes Journées de Statistique de la SFdS, Montpellier, France, May 2016.
-
Processus de Hawkes localement stationnaires
Laure Sansonnet, François Roueff, Rainer Sachs
48èmes Journées de Statistique de la SFdS , Montpellier, France, May 2016.
-
Linked Data Models for Emotion and Sentiment Analysis W3C Community Group
J. Fernando Sánchez-Rada, Bjorn Schüller, Viviana Patti, Chloé Clavel
LREC 2016 Workshop Emotion and Sentiment Analysis., Portorož, Slovenia, May 2016.
-
Formant shifting for speech Intelligibility improvement in car noise environment
Karan Nathwani, Morgane Daniel, Gael Richard, Bertrand David, Vincent Roussarie
ICASSP, Shanghai, China, March 2016.
-
Acoustic scene classification with matrix factorization for unsupervised feature learning
Victor Bisot, Romain Serizel, Slim Essid, Gael Richard
ICASSP, Shangai, China, March 2016.
-
Dimension reduction in multivariate extremes
Anne Sabourin
THIRD CONFERENCE OF THE INTERNATIONAL SOCIETY FOR NONPARAMETRIC STATISTICS (ISNPS), Avignon, France, March 2016.
-
Group nonnegative matrix factorisation with speaker and session variability compensation for speaker identification
Romain Serizel, Slim Essid, Gael Richard
ICASSP, Shangai, China, March 2016.
-
Group Non-Negative Matrix Factorisation With Speaker And Session Similarity Constraints For Speaker Identification
Romain Serizel, Slim Essid, Gael Richard
IEEE International Conference on Acoustics, Speech, and Signal Processing, Shangai, China, March 2016.
-
Complex NMF under phase constraints based on signal modeling: application to audio source separation
Paul Magron, Roland Badeau, Bertrand David
41st International Conference on Acoustics, Speech and Signal Processing (ICASSP.2016)), Shanghai, China, March 2016.
-
Posterior consistency for partially-observed Markov models
François Roueff
Processus, CIRM, Luminy, France, February 2016.
-
Estimation consistante du paramètre d’un modèle de Markov partiellement observé
François Roueff
Séminaire de Mathématiques Appliquées de l’université de Nantes, Nantes, France, February 2016.
-
Blind estimation of room acoustic parameters using kernel regression
Arthur Belhomme, Yves Grenier, Roland Badeau, Eric Humbert
AES 60th Conference, Leuven, Belgium, February 2016.
-
Operations Research and Signal Processing on graphs : case of sampling and perfect reconstructing tasks
Pascal Bianchi, Valeria Borodin, Faicel Hnaien, Nacima Labadie, Hichem Snoussi
17eme conférence ROADEF, Compiègne, France, February 2016.
-
Très brève introduction au Machine Learning
Slim Essid
Conference debat du Corps des Mines, Paris, France, January 2016.
-
Stochastic thermodynamic integration: efficient Bayesian model selection via stochastic gradient MCMC
Umut Şimşekli, Roland Badeau, Gael Richard, Ali Taylan Cemgil
41st International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 2016.
-
PROJET - Spatial Audio Separation Using Projections
Derry Fitzgerald, Antoine Liutkus, Roland Badeau
41st International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 2016.
-
Data-driven model of virtual patient for doctor social training
Magalie Ochs, Evelyne Lombardo, Soisik Verbog, Marie-Christine Moll, José Hureaux, Daniel Francon, Jean-Marie Pergandi, Daniel Mestre, Grégoire De Montcheuil, Catherine Pelachaud, Brice Donval, Jorane Saubesty, Chloé Clavel, Philippe Blache
International Conference on Intelligent Virtual Agent - GREATS Workshop (Graphical and Robotic Embodied Agents for Therapeutic Systems), Unknown, Unknown Region, 2016.
-
Common Fate Model for Unison source Separation
Fabian-Robert Stöter, Antoine Liutkus, Roland Badeau, Bernd Edler, Paul Magron
41st International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 2016.
-
Using temporal association rules for the synthesis of embodied conversational agents with a specific stance
Thomas Janssoone, Chloé Clavel, Kevin Bailly, Gael Richard
The Sixteenth International Conference on Intelligent Virtual Agents (IVA 2016), Los Angeles, United States, 2016.
patent
-
Procédé et dispositif pour estimer la réverbération acoustique
Arthur Belhomme, Roland Badeau, Yves Grenier, Eric Humbert
France, December 2016.
-
Système et procédé d’estimation du comportement thermique d’un bâtiment, pour un contrôle optimal de chauffage
Tahar Nabil, Jean-Marc Jicquel, Alexandre Girard, François Roueff
France, August 2016.
Journal Articles
-
On mobility parameter configurations that lead to chained handover
Ovidiu Iacoboaiea, Berna Sayrac, Sana Ben Jemaa, Pascal Bianchi
IEEE Transactions on Communications, December 2016.
-
Sampling and empirical risk minimization
Stéphan Clémençon, Patrice Bertail, Emilie Chautru
Statistics, November 2016.
-
Composite marginal likelihood estimation of spatial autoregressive probit models feasible in very large samples
Pavlo Mozharovskyi, Jan Vogler
Economics Letters, November 2016.
-
A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization
Pascal Bianchi, Walid Hachem, Franck Iutzeler
IEEE Transactions on Automatic Control, October 2016. 10 pages.
-
Multichannel Audio Source Separation with Probabilistic Reverberation Priors
Simon Leglaive, Roland Badeau, Gael Richard
IEEE/ACM Transactions on Audio, Speech and Language Processing, September 2016.
-
Non–TNF-Targeted Biologic vs a Second Anti-TNF Drug to Treat Rheumatoid Arthritis in Patients With Insufficient Response to a First Anti-TNF Drug
Jacques Gottenberg, Olivier Brocq, Aleth Perdriger, Slim Lassoued, Jean Berthelot, Daniel Wendling, Liana Euller-Ziegler, Martin Soubrier, Christophe Richez, Bruno Fautrel, Arnaud L. Constantin, Xavier Mariette, Jacques Morel, Melanie Gilson, Gregoire Cormier, Jean Salmon, Stephanie Rist, Frederic Lioté, Hubert Marotte, Christine Bonnet, Marc Marcelli, Jeremie Sellam, Olivier Meyer, Elisabeth Solau-Gervais, Sandrine Guis, Jean Ziza, Charles Zarnitsky, Isabelle Chary-Valckenaere, Olivier Vittecoq, Alain Saraux, Yves-Marie Pers, Martine Gayraud, Gilles Bolla, Pascal Claudepierre, Marc Ardizzone, Emmanuelle Dernis, Maxime A. Breban, Olivier Fain, Jean Balblanc, Ouafaa Aberkane, Marion Vazel, Christelle Back, Sophie Candon, Lucienne Chatenoud, Elodie Perrodeau, Jean Sibilia, Philippe Ravaud
Journal of the American Medical Association, September 2016.
-
Nonparametric Frontier Analysis Using Stata
Oleg Badunenko, Pavlo Mozharovskyi
The Stata Journal, September 2016.
-
SON coordination in Heterogeneous networks: a reinforcement learning approach
Ovidiu Iacoboaiea, Berna Sayrac, Sana Ben Jemaa, Pascal Bianchi
IEEE Transactions on Wireless Communications, September 2016.
-
Empirical Processes in Survey Sampling with (Conditional) Poisson Designs
Patrice Bertail, Emilie Chautru, Stéphan Clémençon
Scandinavian Journal of Statistics, August 2016.
-
Grounding the detection of the user’s likes and dislikes on the topic structure of human-agent interactions
Caroline Langlet, Chloé Clavel
Knowledge-Based Systems, August 2016.
-
Locally stationary Hawkes processes
François Roueff, Rainer Sachs, Laure Sansonnet
Stochastic Processes and their Applications, June 2016.
-
Robust distributed consensus using total Variation
Walid Ben-Ameur, Pascal Bianchi, Jérémie Jakubowicz
IEEE Transactions on Automatic Control, June 2016.
-
Projection-based demixing of spatial audio
Derry Fitzgerald, Antoine Liutkus, Roland Badeau
IEEE Transactions on Audio, Speech and Language Processing, May 2016.
-
Fusion methods for speech enhancement and audio source separation
Xabier Jaureguiberry, Emmanuel Vincent, Gael Richard
IEEE Transactions on Audio, Speech and Language Processing, April 2016.
-
Ergodic convergence of a stochastic proximal point algorithm
Pascal Bianchi
SIAM Journal on Optimization, April 2016.
-
Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers
Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem
IEEE Transactions on Automatic Control, April 2016.
-
Distributed on-line multi-dimensional scaling for self localization in Wireless Sensor Networks
Gemma Morral, P. Bianchi
Signal Processing, March 2016.
-
Local propagation speed constrained estimation of the slowness vector from non-planar array observations
Adrien Nouvellet, François Roueff, Alexis Le Pichon, Maurice Charbit, Julien Vergoz, Mohamed Kallel, Chourouq Mejri
J. Acoust. Soc. Am., January 2016.
-
Combining regional estimation and historical floods: a multivariate semi-parametric peaks-over-threshold model with censored data
Anne Sabourin, Benjamin Renard
Water Resources Research, January 2016. [Departement....
-
Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics
Stéphan Clémençon, Igor Colin, Aurélien Bellet
Journal of Machine Learning Research, 2016.
-
Fast metabolite identification with Input Output Kernel Regression
Celine Brouard, Huibin Shen, Kai Dührkop, Florence d’Alché-Buc, Sebastian Böcker, Juho Rousu
Bioinformatics, 2016.
-
The maximizing set of the asymptotic normalized log-likelihood for partially observed Markov chains
Randal Douc, François Roueff, Tepmony Sim
The Annals of Applied Probability, 2016.
-
Input output Kernel regression : supervised and semi-supervised structured output prediction with operator-valued kernels
Celine Brouard, Marie Szafranski, Florence d’Alché-Buc
Journal of Machine Learning Research, 2016.
-
Physiologically structured cell population dynamic models with applications to combined drug delivery optimisation in oncology
Jean Clairambault, Olivier Fercoq
Mathematical Modelling of Natural Phenomena, 2016. V2 d’un dépô....
-
An empirical comparison of V -fold penalisation and cross-validation for model selection in distribution-free regression
Charanpal Dhanjal, Nicolas Baskiotis, Stéphan Clémençon, Nicolas Usunier
Pattern Analysis and Applications, 2016.
-
Integral approximation by kernel smoothing
Bernard Delyon, François Portier
Bernoulli, 2016. 27 pages, 2 ....
-
Dynamical behavior of a stochastic forward-backward algorithm using random monotone operators
Pascal Bianchi, Walid Hachem
Journal of Optimization Theory and Applications, 2016.
Technical Reports
-
Restarting accelerated gradient methods with a rough strong convexity estimate
Olivier Fercoq, Zheng Qu
September 2016.
-
An iterative algorithm for recovering the phase of complex components from their mixture
Paul Magron, Roland Badeau, Bertrand David
June 2016.
-
Generalized Wiener filtering for positive alpha-stable random variables
Paul Magron, Roland Badeau, Antoine Liutkus
June 2016.
-
Preservation of whiteness in spectral and time-frequency transforms of second order processes
Roland Badeau
January 2016.
proceedings
-
Learning Hyperparameters for Unsupervised Anomaly Detection.
Albert Thomas, Vincent Feuillard, Alexandre Gramfort, Stéphan Clémençon
June 2016.
-
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions
Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon
May 2016.
Book Chapters
-
Optimization in High Dimensions via Accelerated, Parallel and Proximal Coordinate Descent
Olivier Fercoq, Peter Richtárik
SIAM Review, 2016.
-
Anomaly Ranking in a High Dimensional Space: The Unsupervised TreeRank Algorithm
Stephan Clémençon, Nicolas Baskiotis, Nicolas Vayatis
Unsupervised Learning Algorithms, 2016.
-
Fostering user engagement in face-to-face human-agent interactions: a survey.
Chloé Clavel, Angelo Cafaro, Sabrina Campano, C. Pelachaud
Toward Robotic Socially Believable Behaving Systems-Volume II, 2016.
Unpublished
-
MARGINAL STANDARDIZATION OF UPPER SEMICONTINUOUS PROCESSES. WITH APPLICATION TO MAX-STABLE PROCESSES
Anne Sabourin, Johan Segers
December 2016. working pape....
-
Physiologically structured cell population dynamic models with applications to combined drug delivery optimisation in oncology
Jean Clairambault, Olivier Fercoq
May 2016. working pape....
-
Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking
Nicolas Goix, Anne Sabourin, Stéphan Clémençon
March 2016. working pape....
-
Sparsity in Multivariate Extremes with Applications to Anomaly Detection
Nicolas Goix, Anne Sabourin, Stéphan Clémençon
March 2016. working pape....
-
A Multiresolution Analysis Framework for the Statistical Analysis of Incomplete Rankings
Eric Sibony, Stéphan Clémençon, Jérémie Jakubowicz
January 2016. working pape....
2015
patent
-
Procédé de suppression de la réverbération tardive d’un signal sonore
Nicolás López, Yves Grenier, Gael Richard
France, January 2015.
Journal Articles
-
A statistical network analysis of the HIV/AIDS epidemics in Cuba
Stéphan Clémençon, Hector Arazoza, Fabrice Rossi, Viet Chi Tran
Social Network Analysis and Mining, December 2015.
-
Late Reverberation Synthesis: From Radiance Transfer to Feedback Delay Networks
Hequn Bai, Laurent Daudet, Gael Richard
IEEE/ACM Transactions on Audio, Speech and Language Processing, December 2015.
-
On tail index estimation based on multivariate data
A. Dematteo, Stéphan Clémençon
Journal of Nonparametric Statistics, December 2015.
-
Accelerated, Parallel, and Proximal Coordinate Descent
Olivier Fercoq, Peter Richtárik
SIAM Journal on Optimization, October 2015.
-
Prediction of human population responses to toxic compounds by a collaborative competition.
Federica Eduati, Lara M Mangravite, Tao Wang, Hao Tang, J Christopher Bare, Rui Huang, Thea Norman, Mike Kellen, Michael P Menden, Yang Yang, Xiaowei Zhan, Rui Zhong, Guanghua Xiao, Menghang Xia, Nour Abdo, Oksana Kosyk, Stephen Friend, Gustavo Stolovitzky, Allen Dearry, Raymond R Tice, Anton Simeonov, Ivan Rusyn, Fred A Wright, Yang Xie, Salvatore Alaimo, Alicia Amadoz, Muhammad Ammad-Ud-Din, Chloé-Agathe Azencott, Jaume Bacardit, Pelham Barron, Elsa Bernard, Andreas Beyer, Shao Bin, Alena Bömmel, Karsten Borgwardt, April M Brys, Brian Caffrey, Jeffrey Chang, Jungsoo Chang, Eleni G Christodoulou, Mathieu Clément-Ziza, Trevor Cohen, Marianne Cowherd, Sofie Demeyer, Joaquin Dopazo, Joel D Elhard, Andre O Falcao, Alfredo Ferro, David A Friedenberg, Rosalba Giugno, Yunguo Gong, Jenni W Gorospe, Courtney A Granville, Dominik Grimm, Matthias Heinig, Rosa D Hernansaiz, Sepp Hochreiter, Hua Huang, Matthew Huska, Yunlong Jiao, Günter Klambauer, Michael Kuhn, Miron Bartosz Kursa, Rintu Kutum, Nicola Lazzarini, Inhan Lee, Michael K K Leung, Weng Khong Lim, Charlie Liu, Felipe Llinares López, Alessandro Mammana, Andreas Mayr, Tom Michoel, Misael Mongiovì, Jonathan D Moore, Ravi Narasimhan, Stephen Opiyo, Gaurav Pandey, Andrea L Peabody, Juliane Perner, Alfredo Pulvirenti, Konrad Rawlik, Susanne Reinhardt, Carol G Riffle, Douglas Ruderfer, Aaron J Sander, Richard S Savage, Erwan Scornet, Patricia Sebastian-Leon, Roded Sharan, Carl Johann Simon-Gabriel, Veronique Stoven, Jingchun Sun, Ana L Teixeira, Albert Tenesa, Jean-Philippe Vert, Martin Vingron, Thomas Walter, Sean Whalen, Zofia Wiśniewska, Yonghui Wu, Hua Xu, Shihua Zhang, Junfei Zhao, W Jim Zheng, Dai Ziwei, Julio Saez-Rodriguez, Xiaowei Xia, Guanghua Xia
Nature Biotechnology, September 2015.
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Vers des Agents Conversationnels Animés dotés d’émotions et d’attitudes sociales
Magalie Ochs, Yu Ding, Nesrine Fourati, Mathieu Chollet, Brian Ravenet, Florian Pecune, Nadine Glas, Ken Prepin, Chloé Clavel, Catherine Pelachaud
Journal d’Interaction Personne-Système, September 2015.
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Surprise and human-agent interactions
Chloé Clavel
Review of Cognitive Linguistics, September 2015.
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Alpha-Stable Matrix Factorization
Umut Şimşekli, Antoine Liutkus, Taylan Cemgil
IEEE Signal Processing Letters, September 2015.
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Classifying real-world data with the DDalpha-procedure
Pavlo Mozharovskyi, Karl Mosler, Tatjana Lange
Advances in Data Analysis and Classification, September 2015.
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Handy sufficient conditions for the convergence of the maximum likelihood estimator in observation-driven models
Randal Douc, François Roueff, Tepmony Sim
Lithuanian Mathematical Journal, July 2015.
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TPT-Dance&Actions : un corpus multimodal d’activités humaines
Aymeric Masurelle, Ahmed Rida Sekkat, Slim Essid, Gael Richard
Traitement du Signal, April 2015.
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Adaptative Multinomial Matrix Completion
Olga Klopp, Jean Lafond, Eric Moulines, Joseph Salmon
Electronic Journal of Statistics , April 2015.
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Large scale reduction principle and application to hypothesis testing
Marianne Clausel, François Roueff, Murad Taqqu
Electronic Journal of Statistics , February 2015.
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Scaling up M-estimation via sampling designs: The Horvitz-Thompson stochastic gradient descent
Patrice Bertail, Stéphan Clémençon, Emilie Chautru
IEEE Transactions on Big Data, January 2015.
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On Survey Sampling and Empirical Risk Minimization
Stéphan Clémençon, P. Bertail, Emilie Chautru
Statistics, January 2015.
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Nonparametric estimation of mark’s distribution of an exponential Shot-noise process
Paul Ilhe, Eric Moulines, François Roueff, Antoine Souloumiac
Electronic Journal of Statistics , 2015.
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Towards the generation of dialogue acts in socio-affective ECAs: a corpus-based prosodic analysis
Rachel Bawden, Chloé Clavel, Frédéric Landragin
Language Resources and Evaluation, 2015.
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Nonparametric estimation of the mixing density using polynomials
Tabea Rebafka, François Roueff
Mathematical Methods of Statistics, 2015.
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Aggregation of predictors for non stationary sub-linear processes and online adaptive forecasting of time varying autoregressive processes
Christophe Giraud, François Roueff, Andres Sanchez-Perez
Annals of Statistics, 2015.
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On Computer-Intensive Simulation and Estimation Methods for Rare Event Analysis in Epidemic Models
Stéphan Clémençon, Anthony Cousien, Miraine Dávila Felipe, Viet Chi Tran
Statistics in Medicine, 2015.
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Tail index estimation based on survey data
Patrice Bertail, Emilie Chautru, Stéphan Clémençon
ESAIM: Probability and Statistics, 2015.
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Convergence to stable laws in the space D
François Roueff, Philippe Soulier
Journal of Applied Probability, 2015.
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Adaptive Multinomial Matrix Completion
Olga Klopp, Jean Lafond, Eric Moulines, Joseph Salmon
Electronic Journal of Statistics , 2015.
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Bootstrapping robust statistics for markovian data. Applications to regenerative R-statistics and L-statistics
Patrice Bertail, Stéphan Clémençon, Jessica Tressou
Journal of Time Series Analysis, 2015.
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Handwritten word recognition using Web resources and recurrent neural networks
C. Oprean, Laurence Likforman-Sulem, A. Popescu, C. Mokbel
International Journal on Document Analysis and Recognition, 2015.
Theses
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Coordination of Self-Organizing Network (SON) functions in next generation radio access networks
Ovidiu Constantin Iacoboaiea
October 2015.
Book Chapters
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Adaptive Sampling for Incremental Optimization Using Stochastic Gradient Descent
Guillaume Papa, Pascal Bianchi, Stéphan Clémençon
Adaptive Sampling for Incremental Optimization Using Stochastic Gradient Descent, October 2015.
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Extending Gossip Algorithms to Distributed Estimation of U -Statistics
Igor Colin, Joseph Salmon, Stéphan Clémençon, Aurélien Bellet
Extending Gossip Algorithms to Distributed Estimation of U -Statistics, 2015.
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SGD Algorithms based on Incomplete U -statistics: Large-Scale Minimization of Empirical Risk
Guillaume Papa, Stéphan Clémençon, Aurélien Bellet
SGD Algorithms based on Incomplete U -statistics: Large-Scale Minimization of Empirical Risk, 2015.
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MRA-based Statistical Learning from Incomplete Rankings Stéphan Clémençon
Eric Sibony, Stéphan Clémençon, Jérémie Jakubowicz
MRA-based Statistical Learning from Incomplete Rankings Stéphan Clémençon, 2015.
Unpublished
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Input Output Kernel Regression
Celine Brouard, Florence d’Alché-Buc, Marie Szafranski
October 2015. working pape....
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AUC Optimisation and Collaborative Filtering
Charanpal Dhanjal, Romaric Gaudel, Stéphan Clémençon
August 2015. working pape....
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Fast Langevin based algorithm for MCMC in high dimensions
Alain Durmus, Roberts O. Gareth, Gilles Vilmart, Konstantinos Zygalakis
July 2015. 33 pages.
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Sparse pairwise Markov model learning for anomaly detection in heterogeneous data
Romain Laby, Alexandre Gramfort, François Roueff, Cyrille Enderli, Larroque Alain
June 2015. working pape....
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Learning the dependence structure of rare events: a non-asymptotic study
Nicolas Goix, Anne Sabourin, Stéphan Clémençon
May 2015. working pape....
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Late Reverberation Synthesis: From Radiance Transfer to Feedback Delay Networks
Bai Hequn, Gael Richard, Laurent Daudet
February 2015. working pape....
proceedings
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Collaborative Filtering with Localised Ranking
Charanpal Dhanjal, Romaric Gaudel, Stéphan Clémençon
May 2015.
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Learning the dependence structure of rare events: a non-asymptotic study
Nicolas Goix, Anne Sabourin, Stéphan Clémençon
March 2015.
Technical Reports
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Phase reconstruction of spectrograms with linear unwrapping : application to audio signal restoration
Paul Magron, Roland Badeau, Bertrand David
April 2015.
Conference Articles
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GAP Safe screening rules for sparse multi-task and multi-class models
Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
Conference on Neural Information Processing Systems, Montréal, Canada, December 2015.
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Multiresolution analysis for the statistical analysis of incomplete rankings
Stéphan Clémençon, Eric Sibony, Anna Korba
NIPS 2015 - Workshop on Multiresolution Methods for Large Scale Learning, Montreal, Canada, December 2015.
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Extending Gossip Algorithms to Distributed Estimation of U-statistics
Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon
Annual Conference on Neural Information Processing Systems (NIPS), Montréal, Canada, December 2015.
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SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk
Guillaume Papa, Stéphan Clémençon, Aurélien Bellet
Annual Conference on Neural Information Processing Systems (NIPS), Montréal, Canada, December 2015.
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On the convergence of a stochastic proximal point algorithm
Pascal Bianchi
CAMSAP, Cancun, Mexico, October 2015.
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Geometric-Based Reverberator Using Acoustic Rendering Networks
Hequn Bai, Laurent Daudet, Gael Richard
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, New York, United States, October 2015.
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Cauchy Nonnegative Matrix Factorization
Antoine Liutkus, Derry Fitzgerald, Roland Badeau
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY, United States, October 2015.
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MULTICHANNEL AUDIO SOURCE SEPARATION WITH PROBABILISTIC REVERBERATION MODELING
Simon Leglaive, Roland Badeau, Gael Richard
Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY, United States, October 2015.
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PHASE RECONSTRUCTION OF SPECTROGRAMS BASED ON A MODEL OF REPEATED AUDIO EVENTS
Paul Magron, Roland Badeau, Bertrand David
Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY, United States, October 2015.
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Early frame-based detection of acoustic scenes
Maxime Sangnier, Jérôme Gauthier, Alain Rakotomamonjy
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2015, New Paltz, United States, October 2015.
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Méthode Structurée de décomposition en matrices non- négatives appliquéè a la séparation de sources audio
Clément Laroche, Matthieu Kowalski, Hélène Papadopoulos, Gael Richard
25eme Colloque GRETSI 2015, Lyon, France, September 2015.
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Estimation non-paramétrique de la loi des marques d’un shot-noise exponentiel
Paul Ilhe, Eric Moulines, François Roueff, Antoine Souloumiac
25e Colloque francophone de traitement du signal et des images (GRETSI 2015), Lyon, France, September 2015.
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A priori probabiliste anéchoïque pour la séparation sous-déterminée de sources sonores en milieu réverbérant
Simon Leglaive, Roland Badeau, Gael Richard
Colloque GRETSI, Lyon, France, September 2015.
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LIMSI@WMT’15 : Translation Task
Benjamin Marie, Alexandre Allauzen, Franck Burlot, Quoc-Khanh Do, Julia Ive, Elena Knyazeva, Matthieu Labeau, Thomas Lavergne, Kevin Löser, Nicolas Pécheux, François Yvon
Proceedings of the Tenth Workshop on Statistical Machine Translation, Lisbon, Portugal, September 2015.
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Calibration du test de rapport de vraisemblance généralisé pour la détection d’une onde plane traversant un réseau de capteurs
Adrien Nouvellet, François Roueff, Maurice Charbit, Alexis Le Pichon
Gresti, Lyon, France, September 2015.
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Hog and Subband power distribution image features for acoustic scene classification
Victor Bisot, Slim Essid, Gael Richard
EUSIPCO, Nice, France, September 2015.
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MELODY EXTRACTION BY CONTOUR CLASSIFICATION
Rachel M Bittner, Justin Salamon, Slim Essid, Juan P Bello
International Conference on Music Information Retrieval (ISMIR), Malaga, Spain, September 2015.
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Phase reconstruction of spectrograms with linear unwrapping: application to audio signal restoration
Paul Magron, Roland Badeau, B. David
EUSIPCO, Nice, France, August 2015.
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Scalability of Stochastic Gradient Descent based on ”Smart” Sampling Techniques
Stéphan Clémençon, Aurélien Bellet, Ons Jelassi, Guillaume Papa
INNS Conference on Big Data (INNS-BigData 2015), San Francisco, United States, August 2015.
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SON Conflict Diagnosis in Heterogeneous Networks
Ovidiu Constantin Iacoboaiea, Berna Sayrac, Sana Ben Jemaa, Pascal Bianchi
Personal, Indoor, and Mobile Radio Communication (PIMRC), 2015 IEEE 26th Annual International Symposium on, Hong Kong, Hong Kong SAR China, August 2015.
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An ECA expressing appreciations.
Sabrina Campano, Caroline Langlet, Nadine Glas, Chloé Clavel, Catherine Pelachaud
In Workshop on Engagement in Human Computer Interaction, ACII., Qian, China, August 2015.
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A structured nonnegative matrix factorization for source separation
Clément Laroche, Matthieu Kowalski, Hélène Papadopoulos, Gael Richard
23rd European Signal Processing Conference (EUSIPCO 2015), Nice, France, August 2015.
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Adapting sentiment analysis to face-to-face human-agent interactions: from detection to evaluation issues
Caroline Langlet, Chloé Clavel
ACII 2015, Qian, China, August 2015.
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BLSTM-based handwritten text recognition using Web resources
C. Oprean, Laurence Likforman-Sulem, C. Mokbel, A. Popescu
2015 13th International Conference on Document Analysis and Recognition (ICDAR), Tunis, Tunisia, August 2015. Conference o....
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Autonomous learning of parameters in differential equations
Adel Mezine, Artémis Llamosi, Véronique Letort, Michèle Sebag, Florence d’Alché-Buc
32nd International Conference on Machine Learning (ICML) - AutoML workshop, Lille, France, July 2015.
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Contrast re-enhancement of Total-Variation regularization jointly with the Douglas-Rachford iterations
Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon
Signal Processing with Adaptive Sparse Structured Representations (SPARS’15), Cambridge, United Kingdom, July 2015.
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MRA-based statistical learning from incomplete rankings
Eric Sibony, Stéphan Clémençon, Jérémie Jakubowicz
ICML 2015 : 32nd International Conference on Machine Learning, Lille, France, July 2015.
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Extreme Value Theory for Upper Semicontinuous Processes
Anne Sabourin
2015 IMS-China International Conference on Statistics and Probability, Kunming, China, July 2015.
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Improving social relationships in face-to-face human-agent interactions: when the agent wants to know users likes and dislikes
Caroline Langlet, Chloé Clavel
ACL 2015, Beijing, China, July 2015.
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Dimension reduction in multivariate extremes Application to anomaly detection
Anne Sabourin
Extreme Value Analysis, Ann Arbor, United States, June 2015.
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Laughing with a Virtual Agent
Florian Pecune, Beatrice Biancardi, Yu Ding, Catherine Pelachaud, Maurizio Mancini, Giovanna Varni, Gualtiero Volpe, Antonio Camurri
AAMAS, Istanbul, Turkey, May 2015.
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Introduction à la factorisation en matrices positives
Slim Essid
Journée Télécom-UPS ”Le numérique pour tous”, Paris, France, May 2015.
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“I like this painting too”: when an ECA shares appreciations to engage users
Sabrina Campano, Chloé Clavel, C. Pelachaud
14th International Conference on Autonomous Agents and Multiagent Systems AAMAS’15, Istanbul, Turkey, May 2015.
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On debiasing restoration algorithms: applications to total-variation and nonlocal-means
Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM’15), Lège Cap Ferret, France, May 2015.
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Singing voice detection with deep recurrent neural networks
Simon Leglaive, Romain Hennequin, Roland Badeau
40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April 2015.
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Generalized Wiener filtering with fractional power spectrograms
Antoine Liutkus, Roland Badeau
40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April 2015.
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Multipitch estimation using a PLCA-based model: Impact of partial user annotation
Camila Andrade Scatolini, Gael Richard, Benoît Fuentes
ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), South Brisbane, France, April 2015.
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Phase recovery in NMF for audio source separation: an insightful benchmark
Paul Magron, Roland Badeau, Bertrand David
40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April 2015.
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An Ensemble Learning Technique for Multipartite Ranking
Stéphan Clémençon, Sylvain Robbiano
ESANN 2015, Bruges, Belgium, April 2015.
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A conditional random field system for beat tracking
Thomas Fillon, C. Joder, Simon Durand, Slim Essid
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April 2015.
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Downbeat tracking with multiple features and deep neural networks
Simon Durand, Juan P. Bello, Bertrand David, Gael Richard
ICASSP 2015, Brisbane, Australia, April 2015.
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A brief introduction to deep neural networks and their application to automatic speech recognition
Romain Serizel
Séminaire de l’équipe Perception, Grenoble, France, February 2015.
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LOL - Laugh Out Loud
Florian Pecune, Beatrice Biancardi, Yu Ding, Catherine Pelachaud, Maurizio Mancini, Giovanna Varni, Gualtiero Volpe, Antonio Camurri
AAAI, Austin, United States, January 2015.
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Arabic handwritten document preprocessing and recognition
Edgard Chammas, Chafic Mokbel, Laurence Likforman-Sulem
ICDAR 2015, Nancy, France, January 2015.
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Nonnegative matrix Factorisation for Audiovisual Document Analysis
Slim Essid
Seminaire Traitement du Langage Parle, LIMSI, Orsay, France, 2015.
2014
Conference Articles
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Very Long Baseline Interferometry with the SKA
Zsolt Paragi, Leith Godfrey, Cormac Reynolds, Maria Rioja, Adam Deller, Bo Zhang, Leonid Gurvits, Michael Bietenholz, Arpad Szomoru, Hayley Bignall, Paul Boven, P. Charlot, Richard Dodson, Sandor Frey, Michael Garrett, Hiroshi Imai, Andrei Lobanov, Mark Reid, Eduardo Ros, Huib Langevelde, J. Anton Zensus, Xing Wu Zheng, Antxon Alberdi, Ivan Agudo, Tao An, Megan Argo, Rob Beswick, Andy D. Biggs, Andreas Brunthaler, Robert M. Campbell, Giuseppe Cimo, Francisco Colomer, Stephane Corbel, John Conway, David Cseh, Roger Deane, Heino Falcke, Krisztina Gabanyi, Marcin Gawronski, Michael Gaylard, Gabriele Giovannini, Marcello Giroletti, Ciriaco Goddi, Sharmila Goedhart, Jose L. Gomez, Alastair Gunn, Taehyun Jung, Preeti Kharb, Hans-Rainer Klockner, Elmar Kording, Yurii Yu. Kovalev, Magdalena Kunert-Bajraszewska, Michael Lindqvist, Matt Lister, Franco Mantovani, Ivan Marti-Vidal, Mar Mezcua, John Mckean, Enno Middelberg, James Miller-Jones, Javier Moldon, Tom Muxlow, Tim O’Brien, Miguel Pérez-Torres, Sergei Pogrebenko, Jonathan Quick, Anthony P. Rushton, Richard Schilizzi, Oleg Smirnov, Bong Won Sohn, Gabriele Surcis, Greg Taylor, Steven Tingay, Valeriu Tudose, Alexander Der Horst, Joeri Leeuwen, Tiziana Venturi, Rene Vermeulen, Wouter Vlemmings, Aletha Witt, Olaf Wucknitz, Yang
Proceedings of Advancing Astrophysics with the Square Kilometre Array (AASKA14). 9 -13 June, 2014. Giardini Naxos, Italy. Online at http://pos.sissa.it/cgi-bin/reader/conf.cgi?confid=215, id.143, Giardini Naxos, Sicily, Italy, June 2014.