All publications of the team can be found on Hal.

2024 [75 publications]

2024

Conference Articles

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. SALT: STANDARDIZED AUDIO EVENT LABEL TAXONOMY
    Paraskevas Stamatiadis, Michel Olvera, Slim Essid
    DCASE, Tokyo, Japan, October 2024.
  7. 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.
  8. 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.
  9. 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 ....
  10. 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 ....
  11. 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.
  12. 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.
  13. Speech dereverberation constrained on room impulse response characteristics
    Louis Bahrman, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard
    INTERSPEECH, Kos Island, Greece, September 2024.
  14. 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.
  15. Invariance-based layer regularization for sound event detection
    David Perera, Slim Essid, Richard Gaël
    European Signal Processing Conference, Lyon, France, August 2024.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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 ....
  21. 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.
  22. 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.
  23. 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....
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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 ....
  29. 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 ....
  30. 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.
  31. 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.
  32. 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.
  33. 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 ....
  34. 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 ....
  35. 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.
  36. 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.
  37. Variational Perspective on Fair Edge Prediction
    Antoine Gourru, Charlotte Laclau, Manvi Choudhary, Christine Largeron
    International Symposium on Intelligent Data Analysis, Stockholm, Sweden, April 2024.
  38. 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 ....
  39. 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.
  40. Interpretive flexibility in data science and artificial intelligence
    Tiphaine Viard, Mélanie Gornet, Simon Delarue
    Undone Computer Science, Nantes, France, February 2024.

Unpublished

  1. Defining Lyapunov functions as the solution of a performance estimation saddle point problem
    Olivier Fercoq
    November 2024. working pape....
  2. Learning with Importance Weighted Variational Inference: Asymptotics for Gradient Estimators of the VR-IWAE Bound
    Kamélia Daudel, François Roueff
    October 2024. working pape....
  3. STOCHASTIC MIRROR DESCENT FOR NONPARAMETRIC ADAPTIVE IMPORTANCE SAMPLING
    Pascal Bianchi, Bernard Delyon, François Portier, Victor Priser
    September 2024. working pape....
  4. Reconstructing the Unseen: GRIOT for Attributed Graph Imputation with Optimal Transport
    Richard Serrano, Charlotte Laclau, Baptiste Jeudy, Christine Largeron
    August 2024. working pape....
  5. Regenerative bootstrap for β-null recurrent Markov chains
    Carlos Fernández
    July 2024. Submitted to....
  6. Minimax optimal seriation in polynomial time
    Yann Issartel, Christophe Giraud, Nicolas Verzelen
    May 2024. working pape....
  7. Long run convergence of discrete-time interacting particle systems of the McKean-Vlasov type
    Pascal Bianchi, Walid Hachem, Victor Priser
    April 2024. working pape....
  8. Monitoring the Convergence Speed of PDHG to Find Better Primal and Dual Step Sizes
    Olivier Fercoq
    March 2024. working pape....
  9. The Smoothed Duality Gap as a Stopping Criterion
    Iyad Walwil, Olivier Fercoq
    March 2024. working pape....
  10. Importance sampling for online variational learning
    Mathis Chagneux, Pierre Gloaguen, Sylvain Le Corff, Jimmy Olsson
    February 2024. working pape....

Theses

  1. Statistical learning for multivariate and functional extremes
    Nathan Huet
    November 2024.
  2. Evaluating and Improving the Reasoning Abilities of Language Models
    Chadi Helwe
    July 2024.
  3. Learning deep kernel networks : application to efficient and robust structured prediction
    Tamim El Ahmad
    July 2024.
  4. Informed Speech Self-supervised Representation Learning
    Mohamed Salah Zaiem
    March 2024.
  5. A Statistical analysis of algorithms dedicated for rare events
    Anass Aghbalou
    February 2024.

Journal Articles

  1. 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.
  2. Mixture of segmentation for heterogeneous functional data
    Vincent Brault, Emilie Devijver, Charlotte Laclau
    Electronic Journal of Statistics , September 2024.
  3. 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....
  4. 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.
  5. Statistical wave field theory
    Roland Badeau
    Journal of the Acoustical Society of America, July 2024.
  6. 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.
  7. 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.
  8. 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.
  9. Pair-Matching: Link Prediction with Adaptive Queries
    Christophe Giraud, Yann Issartel, Luc Lehericy, Matthieu Lerasle
    Mathematical Statistics and Learning, March 2024.
  10. 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.
  11. 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.
  12. 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.
  13. The European approach to regulating AI through technical standards
    Mélanie Gornet, Winston Maxwell
    Internet Policy Review, 2024.
  14. Stochastic Subgradient Descent Escapes Active Strict Saddles on Weakly Convex Functions
    Pascal Bianchi, Walid Hachem, Sholom Schechtman
    Mathematics of Operations Research, 2024. Accepted for....
  15. 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.
  16. Model-Based Deep Learning for Music Information Research
    Gael Richard, Vincent Lostanlen, Yi-Hsuan Yang, Meinard Müller
    IEEE Signal Processing Magazine, 2024.
  17. 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

  1. Degradation-Invariant Music Indexing
    Rémi Mignot, Geoffroy Peeters
    March 2024.

proceedings

  1. On Ranking-based Tests of Independence
    Myrto Limnios, Stéphan Clémençon
    International Conference on Artificial Intelligence and Statistics, 2024.

2023

Unpublished

  1. Character Recognition in Byzantine Seals with Deep Neural Networks
    Théophile Rageau, Laurence Likforman-Sulem, Attilio Fiandrotti, Victoria Eyharabide, Béatrice Caseau, Jean-Claude Cheynet
    February 2023. working pape....

2023 [91 publications]

2024

Unpublished

  1. 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....
  2. Tailoring Mixup to Data using Kernel Warping functions
    Quentin Bouniot, Pavlo Mozharovskyi, Florence d’Alché-Buc
    April 2024. working pape....

2023

proceedings

  1. 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.
  2. 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

  1. 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.
  2. Active Bipartite Ranking
    James Cheshire, Stéphan Clémençon, Vincent Laurent
    Thirty-seventh Annual Conference on Neural Information Processing Systems, New Orleans, United States, December 2023.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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....
  21. Signal Inpainting from Fourier Magnitudes
    Louis Bahrman, Marina Krémé, Paul Magron, Antoine Deleforge
    EUSIPCO 2023, Helsinki, Finland, September 2023.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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....
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. Introducing the 3MT_French Dataset
    Beatrice Biancardi, Mathieu Chollet, Chloé Clavel
    1st International Multimodal Communication Symposium, Barcellona, Spain, April 2023.
  39. Origins of Low-dimensional Adversarial Perturbations
    Elvis Dohmatob, Chuan Guo, Morgane Goibert
    AISTATS 2023, Valencia, Spain, April 2023.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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 ....
  45. 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....
  46. 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

  1. Automatic analysis of trust over the course of a human-robot interaction using multimodal features and recurrent neural architectures
    Marc Hulcelle
    December 2023.
  2. Statistical Understanding of Adversarial Robustness
    Morgane Goibert
    November 2023.
  3. Traitement de la phase des signaux audio dans les réseaux de neurones profonds
    Félix Mathieu
    November 2023.
  4. Multi-target tracking and novel variational approaches for high-dimensional sequential data : an application to object counting in videos
    Mathis Chagneux
    November 2023.
  5. Un cadre flexible pour l’apprentissage automatique interprétable : application à la classification d’images et d’audio
    Jayneel Parekh
    July 2023.
  6. Multi layered Misbehavior Detection for a connected and autonomous vehicle
    Mohammed Bouchouia
    June 2023.
  7. Structured Prediction with Output Regularization : Improving Statistical and Computational Efficiency
    Luc Motte
    April 2023.
  8. Monte Carlo Methods and Stochastic Approximation : Theory and Applications to Machine Learning
    Rémi Leluc
    March 2023.
  9. Stochastic Second Order Methods and Finite Time Analysis of Policy Gradient Methods
    Rui Yuan
    March 2023.
  10. Function-valued regression with kernels : Improving speed, flexibility and robustness
    Dimitri Bouche
    January 2023.

Unpublished

  1. 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....
  2. Harris Recurrent Markov Chains and Nonlinear Monotone Cointegrated Models
    Patrice Bertail, Cécile Durot, Carlos Fernández
    November 2023. Submitted to....
  3. 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.
  4. 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....
  5. Tail Inverse Regression: dimension reduction for prediction of extremes
    Anass Aghbalou, François Portier, Anne Sabourin, Chen Zhou
    February 2023. main paper: ....
  6. Online Matching in Geometric Random Graphs
    Flore Sentenac, Nathan Noiry, Matthieu Lerasle, Laurent Ménard, Vianney Perchet
    2023. working pape....

Miscellaneous

  1. Audiocarnet for the presentation of the Statistical Wave Field Theory
    Roland Badeau
    November 2023.

Books

  1. 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

  1. 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

  1. A closed-measure approach to stochastic approximation
    Pascal Bianchi, Rodolfo Rios-Zertuche
    Stochastics: An International Journal of Probability and Stochastic Processes, December 2023.
  2. Concentration bounds for the empirical angular measure with statistical learning applications
    Stéphan Clémençon, Hamid Jalalzai, Stéphane Lhaut, Anne Sabourin, Johan Segers
    Bernoulli, November 2023.
  3. A Statistical Learning View of Simple Kriging
    Emilia Siviero, Emilie Chautru, Stéphan Clémençon
    Test, November 2023.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. On the Fair Comparison of Optimization Algorithms in Different Machines
    Etor Arza, Josu Ceberio, Ekhine Irurozki, Aritz Perez
    Annals of Applied Statistics, August 2023.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. Affine invariant integrated rank-weighted statistical depth: properties and finite sample analysis
    Stephan Clémençon, Pavlo Mozharovskyi, Guillaume Staerman
    Electronic Journal of Statistics , January 2023.
  18. Pseudo-Bayesian Approach for Robust Mode Detection and Extraction Based on the STFT
    Quentin Legros, Dominique Fourer
    Sensors, January 2023.
  19. 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.
  20. Quadratic error bound of the smoothed gap and the restarted averaged primal-dual hybrid gradient
    Olivier Fercoq
    Open Journal of Mathematical Optimization, 2023.
  21. Monotonic Alpha-divergence Minimisation for VariationalInference
    Kamélia Daudel, Randal Douc, François Roueff
    Journal of Machine Learning Research, 2023.

2022

Conference Articles

  1. Computational Multimodal Models of Users’ Interactional Trust in Multiparty Human-Robot Interaction
    Marc Hulcelle, Giovanna Varni, Nicolas Rollet, Chloé Clavel
    ICPR 2022: Pattern Recognition, Computer Vision, and Image Processing, Montréal, Canada, August 2022.

2022 [98 publications]

2023

Unpublished

  1. 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

  1. 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

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. Opinions in Interactions : New Annotations of the SEMAINE Database
    Valentin Barrière, Chloé Clavel, Slim Essid
    LREC, Marseille, France, June 2022.
  36. 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.
  37. 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.
  38. 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.
  39. ”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....
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. 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.
  55. 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.
  56. 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

  1. Membership Inference Attacks via Adversarial Examples
    Hamid Jalalzai, Elie Kadoche, Rémi Leluc, Vincent Plassier
    December 2022. Trustworthy ....
  2. 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.
  3. 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 ....
  4. 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....
  5. Riemannian space tessellation with polyhedral room images
    Jean-Dominique Polack, Aidan Meacham, Roland Badeau, Jean-Christophe Valière
    March 2022. working pape....
  6. Approximate Bayesian computation with the sliced-Wasserstein distance
    Kimia Nadjahi, Valentin Bortoli, Alain Durmus, Roland Badeau, Umut Şimşekli
    2022. Accepted at ....

Journal Articles

  1. Socio-conversational systems: Three challenges at the crossroads of fields
    Chloé Clavel, Matthieu Labeau, Justine Cassell
    Frontiers in Robotics and AI, December 2022.
  2. 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.
  3. 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.
  4. SGD with Coordinate Sampling: Theory and Practice
    Rémi Leluc, François Portier
    Journal of Machine Learning Research, October 2022. Journal of M....
  5. Choosing Among Notions of Multivariate Depth Statistics
    Karl Mosler, Pavlo Mozharovskyi
    Statistical Science, August 2022.
  6. Sketched Newton–Raphson
    Rui Yuan, Alessandro Lazaric, Robert M Gower
    SIAM Journal on Optimization, July 2022.
  7. On the convergence of stochastic primal-dual hybrid gradient
    Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
    SIAM Journal on Optimization, June 2022.
  8. 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....
  9. Power-aware feature selection for optimized Analog-to-Feature converter
    Antoine Back, Paul Chollet, Olivier Fercoq, Patricia Desgreys
    Microelectronics Journal, April 2022.
  10. 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.
  11. Empirical Risk Minimization under Random Censorship
    Guillaume Ausset, Stéphan Clémençon, François Portier
    Journal of Machine Learning Research, January 2022.
  12. Statistical learning from biased training samples
    Stéphan Clémençon, Pierre Laforgue
    Electronic Journal of Statistics , January 2022.
  13. 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.
  14. 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.
  15. Lyrics segmentation via bimodal text–audio representation
    Michael Fell, Yaroslav Nechaev, Gabriel Meseguer-Brocal, Elena Cabrio, Fabien Gandon, Geoffroy Peeters
    Natural Language Engineering, 2022.
  16. 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.
  17. 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.
  18. Video-to-Music Recommendation using Temporal Alignment of Segments
    Laure Prétet, Gael Richard, Clément Souchier, Geoffroy Peeters
    IEEE Transactions on Multimedia, 2022.
  19. Conditional independence testing via weighted partial copulas and nearest neighbors
    Pascal Bianchi, Kevin Elgui, François Portier
    Journal of Multivariate Analysis, 2022.
  20. 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.
  21. 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.
  22. Linear convergence of dual coordinate descent on non-polyhedral convex problems
    Ion Necoara, Olivier Fercoq
    Mathematics of Operations Research, 2022. 27 pages.

proceedings

  1. Universal aggregation of permutations
    Ekhine Irurozki, Stéphan Clémençon
    Proceedings of DA2PL 2022 : From Multiple-Criteria Decision Aid to Preference Learning, November 2022.
  2. 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

  1. Operational Fairness for Facial Authentication Systems
    Mélanie Gornet, Claude Kirchner, Catherine Tessier
    October 2022. ERCIM News 1....
  2. Unsupervised Audio Source Separation Using Differentiable Parametric Source Models
    Kilian Schulze-Forster, Clement S J Doire, Gael Richard, Roland Badeau
    2022.

Theses

  1. Automated analysis of cohesion in small groups interactions
    Lucien Maman
    September 2022.
  2. Data depth: computation, applications, and beyond
    Pavlo Mozharovskyi
    July 2022.
  3. Functional time series modeling and application to representation and analysis of multi-site electric load curves for energy management
    Amaury Durand
    April 2022.
  4. Functional anomaly detection and robust estimation
    Guillaume Staerman
    April 2022.
  5. Exploring generative adversarial networks for controllable musical audio synthesis
    Javier Nistal Hurlé
    March 2022.
  6. Computational models of disfluencies : fillers and discourse markers in spoken language understanding
    Tanvi Dinkar
    January 2022.
  7. Metric learning for video to music recommendation
    Laure Prétet
    January 2022.

Technical Reports

  1. Fully Homomorphic Encryption and Bootstrapping
    Rémi Leluc, Elie Chedemail, Adéchola Kouande, Quyen Nguyen, Njaka Andriamandratomanana
    May 2022.

2021 [112 publications]

2021

patent

  1. 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

  1. Mixture weights optimisation for alpha-divergence variational inference
    Kamélia Daudel, Randal Douc
    Advances in Neural Information Processing (NeurIPS), Online, France, December 2021.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. Language-Independent Bimodal System for Early Parkinson’s Disease Detection
    Catherine Taleb, Laurence Likforman-Sulem, Chafic Mokbel
    ICDAR 2021, Lausanne ( CH), Switzerland, September 2021.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. Smooth nonnegative tensor factorization for multi-sites electrical load monitoring
    Amaury Durand, François Roueff, Jean-Marc Jicquel, Nicolas Paul
    EUSIPCO, Dublin, Ireland, August 2021.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. 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....
  55. 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.
  56. 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.
  57. 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.
  58. 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.
  59. 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

  1. SAMbA: Speech enhancement with Asynchronous ad-hoc Microphone Arrays
    Nicolas Furnon, Romain Serizel, Slim Essid, Irina Illina
    December 2021. Submitted to....
  2. 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....
  3. Learning Output Embeddings in Structured Prediction
    Luc Brogat-Motte, Alessandro Rudi, Celine Brouard, Juho Rousu, Florence d’Alché-Buc
    July 2021. working pape....
  4. 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

  1. 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 ....
  2. Concentration Inequalities for Two-Sample Rank Processes with Application to Bipartite Ranking
    Stéphan Clémençon, Myrto Limnios, Nicolas Vayatis
    Electronic Journal of Statistics , September 2021.
  3. Spectral estimation for non-linear long range dependent discrete time trawl processes
    Paul Doukhan, François Roueff, Joseph Rynkiewicz
    Electronic Journal of Statistics , August 2021.
  4. Stochastic optimization with momentum: convergence, fluctuations, and traps avoidance
    Anas Barakat, Pascal Bianchi, Walid Hachem, Sholom Schechtman
    Electronic Journal of Statistics , August 2021.
  5. 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.
  6. Control variate selection for Monte Carlo integration
    Rémi Leluc, François Portier, Johan Segers
    Statistics and Computing, June 2021.
  7. 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.
  8. 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.
  9. Approximate computation of projection depths
    Rainer Dyckerhoff, Pavlo Mozharovskyi, Stanislav Nagy
    Computational Statistics and Data Analysis, May 2021.
  10. 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.
  11. Necessary and sufficient conditions for the identifiability of observation-driven models
    Randal Douc, François Roueff, Tepmony Sim
    Journal of Time Series Analysis, March 2021.
  12. Depth for Curve Data and Applications
    Pierre Lafaye Micheaux, Pavlo Mozharovskyi, Myriam Vimond
    Journal of the American Statistical Association, 2021.
  13. Infinite-dimensional gradient-based descent for alpha-divergence minimisation
    Kamélia Daudel, Randal Douc, François Portier
    Annals of Statistics, 2021.
  14. Screening Rules and its Complexity for Active Set Identification
    Eugene Ndiaye, Olivier Fercoq, Joseph Salmon
    Journal of Convex Analysis, 2021.
  15. Les mégadonnées et l’essor de l’intelligence artificielle
    Stéphan Clémençon
    Les Cahiers français : documents d’actualité, 2021.
  16. 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.
  17. 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.
  18. Adaptation Mechanisms in Human-Agent Interaction: Effects on User’s Impressions and Engagement
    Beatrice Biancardi, Soumia Dermouche, Catherine Pelachaud
    Frontiers in Computer Science, 2021.
  19. Convergence and Dynamical Behavior of the Adam Algorithm for Non Convex Stochastic Optimization
    Anas Barakat, Pascal Bianchi
    SIAM Journal on Optimization, 2021.
  20. Approximate Inference and Learning of State Space Models with Laplace Noise
    Julian Neri, Philippe Depalle, Roland Badeau
    IEEE Transactions on Signal Processing, 2021.
  21. Scalable Semidefinite Programming
    Alp Yurtsever, Joel A. Tropp, Olivier Fercoq, Madeleine Udell, Volkan Cevher
    SIAM Journal on Mathematics of Data Science, 2021.
  22. Feature Clustering for Support Identification in Extreme Regions
    Hamid Jalalzai, Rémi Leluc
    Proceedings of Machine Learning Research, 2021.

proceedings

  1. 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.
  2. 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 , 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

  1. From local hesitations to global impressions of a speaker’s feeling of knowing
    Tanvi Dinkar, Beatrice Biancardi, Chloé Clavel
    September 2021. Poster.
  2. Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework
    Benoît Fuentes, Gael Richard
    2021.

Book Chapters

  1. 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.
  2. The Deep Learning Revolution in MIR: The Pros and Cons, the Needs and the Challenges 2021
    Geoffroy Peeters
    Perception, Representations, Image, Sound, Music, 2021.
  3. Deep Learning for Audio and Music
    Geoffroy Peeters, Gael Richard
    Multi-faceted Deep Learning: Models and Data, 2021.

Theses

  1. Personalized audio auto-tagging as proxy for contextual music recommendation
    Karim Magdi Abdelfattah Ibrahim
    December 2021.
  2. Contributions to non-convex stochastic optimization and reinforcement learning
    Anas Barakat
    December 2021.
  3. Expected smoothness for stochastic variance-reduced methods and sketch-and-project methods for structured linear systems
    Nidham Gazagnadou
    December 2021.
  4. Machine learning approaches for the prediction of credit risk
    Guillaume Ausset
    December 2021.
  5. Neural methods for spoken dialogue understanding
    Emile Chapuis
    December 2021.
  6. Neuro-steered music source separation
    Giorgia Cantisani
    December 2021.
  7. Informed audio source separation with deep learning in limited data settings
    Kilian Schulze-Forster
    December 2021.
  8. Sliced-Wasserstein distance for large-scale machine learning : theory, methodology and extensions
    Kimia Nadjahi
    November 2021.
  9. Leveraging lyrics from audio for MIR
    Andrea Vaglio
    November 2021.
  10. Deep learning methods for music style transfer
    Ondřej Cífka
    November 2021.
  11. Apprendre à représenter et à générer du texte en utilisant des mesures d’information
    Pierre Colombo
    November 2021.
  12. Extreme Value Theory and Machine Learning
    Anne Sabourin
    October 2021.
  13. Network-wide intrusion detection through statistical analysis of event logs : an interaction-centric approach
    Corentin Larroche
    October 2021.
  14. Adaptative Monte-Carlo methods for complex models
    Kamélia Daudel
    October 2021.
  15. Variance-sensitive confidence intervals for parametric and offline bandits
    Louis Faury
    October 2021.
  16. Vehicular traffic analysis based on Bluetooth sensors traces
    Safa Boudabous
    September 2021.
  17. Learning function-valued functions in reproducible kernel Hilbert spaces with integral losses : Application to infinite task learning
    Alex Lambert
    July 2021.
  18. Amélioration de l’intelligibilité de signaux audio de parole en contexte bruité automobile
    Enguerrand Gentet
    March 2021.

2020

Conference Articles

  1. 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

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. Multimodal Groups’ Analysis for Automated Cohesion Estimation
    Lucien Maman
    ICMI ’20: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, Virtual Event, Netherlands, October 2020.
  10. 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.
  11. 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.
  12. HRI-RNN: A User-Robot Dynamics-Oriented RNN for Engagement Decrease Detection
    Asma Atamna, Chloé Clavel
    INTERSPEECH 2020, Shanghai, China, October 2020.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. Improved Optimistic Algorithms for Logistic Bandits
    Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq
    International Conference of Machine Learning, Vienne, Austria, July 2020.
  24. Random extrapolation for primal-dual coordinate descent
    Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
    International conference on machine learning, online, France, July 2020.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. LEARNING TO RANK MUSIC TRACKS USING TRIPLET LOSS
    Laure Prétet, Gael Richard, Geoffroy Peeters
    ICASSP, Barcelona, Spain, May 2020.
  37. 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.
  38. 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.
  39. 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.
  40. 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....
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. Explicit Regularisation in Gaussian Noise Injections
    Alexander Camuto, Matthew Willetts, Umut Şimşekli, Stephen Roberts, Chris Holmes
    Advances in Neural Processing Systems, Online, France, 2020.
  49. 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.
  50. 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.
  51. 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.
  52. 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....
  53. Multimodal Analysis of Cohesion in Multi-party Interactions
    Reshmashree B Kantharaju, Caroline Langlet, Mukesh Barange, Chloé Clavel, Catherine I Pelachaud
    LREC, Marseille, France, 2020.
  54. 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.
  55. 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....
  56. 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

  1. Parametric versus nonparametric: The fitness coefficient
    François Portier, Gildas Mazo
    Scandinavian Journal of Statistics, December 2020.
  2. 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.
  3. 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.
  4. Variance-Reduced Methods for Machine Learning
    Robert M Gower, Mark Schmidt, Francis Bach, Peter Richtárik
    Proceedings of the IEEE, October 2020.
  5. 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.
  6. A Fully Stochastic Primal-Dual Algorithm
    Pascal Bianchi, Walid Hachem, Adil Salim
    Optimization Letters, July 2020.
  7. Why Facial Recognition Algorithms Can’t be Perfectly Fair
    Winston Maxwell, Stéphan Clémençon
    The Conversation France, July 2020.
  8. 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.
  9. A Multivariate Extreme Value Theory Approach to Anomaly Clustering and Visualization
    Maël Chiapino, Stéphan Clémençon, Vincent Feuillard, Anne Sabourin
    Computational Statistics, June 2020.
  10. 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.
  11. “Talk to you later”
    Nicolas Rollet, Chloé Clavel
    Interaction Studies, May 2020.
  12. “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.
  13. 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.
  14. 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.
  15. 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.
  16. Posterior consistency for partially observed Markov models
    Randal Douc, Jimmy Olsson, François Roueff
    Stochastic Processes and their Applications, February 2020.
  17. Uniform convergence rates for the approximated halfspace and projection depth
    Stanislav Nagy, Rainer Dyckerhoff, Pavlo Mozharovskyi
    Electronic Journal of Statistics , January 2020.
  18. Nonparametric imputation by data depth
    Pavlo Mozharovskyi, Julie Josse, François Husson
    Journal of the American Statistical Association, January 2020.
  19. Separation of Alpha-Stable Random Vectors
    Mathieu Fontaine, Roland Badeau, Antoine Liutkus
    Signal Processing, January 2020.
  20. 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.
  21. Algorithmes : Biais, Discrimination et Équité
    Patrice Bertail, David Bounie, Stéphan Clémençon, Patrick Waelbroeck
    HR Today, 2020. Dossier HRM ....
  22. 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

  1. Parkinson’s desease detection by multimodal analysis combining handwriting and speech signals
    Catherine Taleb
    November 2020.
  2. Apprentissage à partir de données extrêmes multivariées : application au traitement du langage naturel
    Hamid Jalalzai
    November 2020.
  3. Deep kernel representation learning for complex data and reliability issues
    Pierre Laforgue
    June 2020.

Unpublished

  1. Hilbert valued fractionally integrated autoregressive moving average processes with long memory operators
    Amaury Durand, François Roueff
    October 2020. working pape....
  2. 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....
  3. HRI-RNN: A User-Robot Dynamics-Oriented RNN for Engagement Decrease Detection
    Asma Atamna, Chloé Clavel
    August 2020. working pape....
  4. Improved Optimistic Algorithms for Logistic Bandits
    Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq
    June 2020. working pape....

Miscellaneous

  1. 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

  1. 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

  1. Stochastic reverberation model for uniform and non-diffuse acoustic fields
    Roland Badeau
    April 2019.
  2. General stochastic reverberation model
    Roland Badeau
    February 2019.

Conference Articles

  1. Generalized Sliced Wasserstein Distances
    Soheil Kolouri, Kimia Nadjahi, Umut Şimşekli, Roland Badeau, Gustavo K. Rohde
    NeurIPS 2019, Vancouver, Canada, December 2019.
  2. 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.
  3. RSN: Randomized Subspace Newton
    Robert M Gower, Dmitry Kovalev, Felix Lieder, Peter Richtárik
    Conference on Neural Information Processing Systems, Vancouver, Canada, December 2019.
  4. 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.
  5. Stochastic Conditional Gradient Method for Composite Convex Minimization
    Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher
    Neural Information Processing Systems, Vancouver, Canada, December 2019.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. Cover detection using dominant melody embeddings
    Guillaume Doras, Geoffroy Peeters
    ISMIR 2019, Delft, Netherlands, November 2019.
  11. 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.
  12. DEEP-RHYTHM FOR TEMPO ESTIMATION AND RHYTHM PATTERN RECOGNITION
    Hadrien Foroughmand, Geoffroy Peeters
    International Society for Music Information Retrieval (ISMIR), Delft, Netherlands, November 2019.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. Weakly informed audio source separation
    Kilian Schulze-Forster, Clément Doire, Gael Richard, Roland Badeau
    WASPAA, New Paltz, New York, United States, October 2019.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.