Permanent researchers

Nicolas Baskiotis
Associate professor
Extreme classification, Machine Learning for spatio-temporal data.
Matthieu Cord
Computer Vision, Deep Learning, Pattern Recognition, Machine Learning for Multimedia, Computational Cooking.
Patrick Gallinari
Professor - Team leader
Statistical machine Learning - Neural Networks - Deep Learning - Reinforcement Learning - Natural Language Processing - Information Retrieval
Vincent Guigue
Associate professor
- Recommender systems - Sentiment classification - Intelligent transportation - Brain signals
Sylvain Lamprier
Associate professor
- Machine Learning - Information Retrieval - Temporal Models on Networks - Deep learning
Hichem Sahbi
CNRS researcher
Deep Representation Learning, Deep Kernel Learning, Computer Vision and Image Recognition, Action Recognition in Video
Olivier Schwander
Associate professor
Information geometry - Riemaniann geometry for machine learning - Machine learning for geometric data
Laure Soulier
Associate professor
- Information retrieval - Deep learning

Associated researchers

Brahim Chaib-draa
Professor - Laval University (Québec, Canada)

Machine Learning; Artificial Intelligence; Vision and Perception

Ludovic Denoyer
Professor - Researcher at Facebook
Deep Learning Reinforcement Learning Machine Learning
David Picard
Associate professor - ENSEA (delegation)
Computer Vision - Kernel Methods - Deep Learning - Image Retrieval
Benjamin Piwowarski
CNRS researcher - DAPA team
Information Retrieval - Recommendation - Graphs - Deep Learning
Maxime Sangnier
Associate professor - LSTA laboratory
Machine learning - Numerical optimization
Nicolas Thome
Professor - Cnam
Machine Learning - Deep Learning - Computer Vision

Posdoctoral researchers and engineers

Taylor Mordan
Corentin Dancette

Deep Learning - Multimodal Learning - Visual understanding

PhD. students

Ibrahim Ayed
PhD Student
Patrick Bordes
PhD Student
Deep learning - Relation detection (from text and image) - Multi-modality - Common sense acquisition
Daniel Brooks
PhD student
Machine Learning - Information Geometry - Time/Frequency Analysis - Image Analysis - 3D rendering
Rémi Cadene
PhD student
Deep Learning - Computer Vision - Multimodal Learning
Mickael Chen
PhD student
Deep learning - Multiview learning
Yifu Chen
PhD Student
Perrine Cribier-Delande
PhD student
Deep learning - Automous Driving - Context Learning
Mathieu Crilout
PhD Student
Emmanuel De Bezenac
PhD Student
Deep learning for physical processes
Edouard Delasalles
PhD Student
Representation Learning - Time Series
Charles-Emmanuel Dias
PhD Student
Deep Learning - Recommender systems - Sentiment classification
Jérémie Donna
PhD Student
Arthur Douillard
PhD Student

Deep Learning - Lifelong-Learning - Few-shots - Domain Adaptation

Martin Engilberge
PhD Student
Deep learning - Multimodal representation - Visual understanding
Jean-Yves Franceschi
PhD Student
Deep Learning - Spatio-Temporal Data
Clara Gainon de Forsan de Gabriac
PhD Student
Representation Learning - Natural Language Processing - Recommender Systems
Thomas Gérald
PhD Student
Extreme Classification - Machine learning - Deep Learning
Vincent Grari
PhD Student
Valentin Guiguet
PhD student
Guillaume Lample
PhD Student
Unsupervised Learning - Natural Language Processing - Deep Reinforcement Learning
Mehdi Lamrayah
PhD Student
Multivariate Time Series - Deep Learning
Ahmed Mazari
PhD Student

Geometric Deep learning - Graph Signal Processing - Action Recognition in Videos

Eloi Mehr
PhD Student
Charles Monzani
PhD Student
Arthur Pajot
PhD Student
Deep Learning - Spatio temporal statistics - Times Series
Clément Rebuffel
PhD student

Data-to-Text - Deep Learning - Natural Language Processing

Thomas Robert
PhD student
deep learning - computer vision - semi-supervised learning
Antoine Saporta
PhD student

Deep Learning - Computer Vision - Domain Adaptation

Thomas Scialom
PhD student
Etienne Simon
Deep Learning - Natural Language Processing - Information Extraction
Bruno Taille
PhD student
Tom Veniat
PhD Student

Deep Learning - Budgeted Learning - Distributed Learning

Eloi Zablocki
PhD student
Multi-modal representation learning - Space and time in language
Haoming Zhan
PhD Student

Invited researchers (since sept 2016)

  • Brahim Chaib-draa – September-April 2019
  • Cancellere Rossella – March 2017, June 2017, April 2018, may 2019
  • Li Mei – June-September 2017
  • Shabunina Ekaterina – May-July 2017
  • Valle Eduardo – January-February 2017
  • Gori Marco – September 2016

Former PhD students (since sept 2016)

Complete team here.