Full Professors

Roland Badeau
machine learning, data decomposition, machine listening, MIR
Pascal Bianchi
stochastic optimization
Philippe Ciblat
graphs, reinforcement learning, distributed processing
Stephan Clémençon
S2A team coordinator
machine learning, probability, statistics
Florence d'Alché-Buc
machine learning, interpretable and robust AI, kernel methods, structured prediction
Slim Essid
representation learning, multiview learning, multimodal processing, speech processing, machine listening, MIR
Olivier Fercoq
optimization, stochastic algorithms, convex analysis
Pavlo Mozharovskyi
data detph, statistics, machine learning
Geoffroy Peeters
machine learning, machine listening, MIR
Gaël Richard
machine listening, MIR, machine learning, data decomposition, representation learning,
François Roueff
time series, statistics

 

Associate/Assistant Professors

Maria Boritchev
computational linguistics
Radu Dragomir
optimization, theory of machine learning
Mathieu Fontaine
Bayesian methods, denoising, signal models, source separation, speech processing
Ekhiñe Irurozki
machine learning, rankings, preferences
Yann Issartel
mathematical statistics and machine learning
Hicham Janati
optimal transport, machine learning
Ons Jelassi
distributed computing, large-scale data analysis
Matthieu Labeau
natural language processing, machine learning
Charlotte Laclau
machine learning, fairness, graphs
Laurence Likforman-Sulem
machine learning, handwriting analysis and recognition

 

Emeritus Professors

Yves Grenier
machine listening, MIR

 

PhD Students

Manvi Agarwal
machine learning, MIR
Isaia Andrenacci
machine learning for optical networks
Louis Bahrman
deep learning, machine learning, machine listening, speech processing
Clémentine Berger
deep learning,
Alicia Breidenstein
natural language processing
Morgan Buisson
MIR, deep learning, representation learning
Arturo Castellanos
(robust) statistics
Jean-Rémy Conti
fairness, computer vision
Louise Davy
bias and fairness in machine learning
Anton Emelchenkov
signal models, deep learning
Ikhlas Enaieh
machine learning, optimization
Antonin Gagneré
deep learning, representation learning, MIR
Qi Gan
human pose estimation, explainable ai
Joël Garde
optimization, optimal transport, inverse problems
Benoît Giniès
deep learning, representation learning, MIR
Gabriel Gros
optimization, optimal control, machine learning
Elio Gruttadauria
speech processing,
Elie Kadoche
reinforcement learning
Paul Krzakala
optimal transports, graphs, deep learning
Victor Letzelter
Bayesian methods, representation learning, machine learning
Sicheng Mao
speech processing
Lilian Marey
machine learning, fairness, graphs
Victor Priser
stochastic optimization
Côme Peladeau
deep learning, MIR
David Perera
deep learning, machine listening, representation learning
Mathilde Perez
machine learning, fairness, graphs
Aurian Quélennec
representation learning, deep learning, MIR,
Alain Riou
MIR, representation learning, deep learning
Thomas Serre
Bernardo Torres
deep learning, machine learning, representation learning,
Anna van Elst
machine learning, robustness, graphs
Iyad Walwil
optimization, stopping criteria
Junjie Yang
structured prediction; optimal transport; kernel methods
Wen Yang
machine learning, point process, time series
Salah Zaiem
speech processing, representation learning, machine learning, deep learning
Xuanyu Zhuang

 

Postdocs

Xiaoyu Bie
deep learning
James Cheshire
reinforcement learning, ranking
Carlos Fernández
machine learning, probability, statistics
Théo Mariotte
deep learning, machine listening, speech processing
Michel Olvera
deep learning, machine listening
Sibsankar Singha
statistics and probability theory
Changhong Wang
deep learning, machine listening, MIR

 

Research Engineers

Pierre Chouteau
deep learning, machine listening
Joris Cosentino
source separation, speech processing, deep learning,
Maxime Coutant
José Gil
machine learning, MIR
Vishal Nagarajan
deep learning, machine listening
Ignacio Laurenty
machine learning
Quoc Duong Nguyen
deep learning, machine listening
Paraskevas Stamatiadis
speech processing,

 

Alumni & former members

Former Full Professors

Former Associate Professors

Former PhD Students

Former Postdocs