Permanent researchers
Nicolas Baskiotis Associate professor Extreme classification, Machine Learning for spatio-temporal data.   Matthieu Cord Professor 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 Edouard Oyallon CNRS researcher Machine learning; Deep learning; Statistical signal processing 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
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Riemaniann geometry for machine learning
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Machine learning for geometric data Laure Soulier Associate professor Machine learning - Information retrieval/NLP - 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 Postdoc   Corentin Dancette Engineer Deep Learning - Multimodal Learning - Visual understanding Lynda Said Lhadj Postdoc Information retrieval, NLP, machine learning , Big data |
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 spatio-temporal modeling, physical processes, super-resolution Emmanuel De Bezenac PhD Student Deep learning for physical processes Marie Dechelle PhD Student Edouard Delasalles PhD Student Representation Learning - Time Series Sébastien Deschamps PhD Student 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 Robin Dupont PhD Student 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 Agnès Mustar PhD Student Arthur Pajot PhD Student Deep Learning - Spatio temporal statistics - Times Series Adrien Pouyet PhD Student Clément Rebuffel PhD student Data-to-Text - Deep Learning - Natural Language Processing Antoine Saporta PhD student Deep Learning - Computer Vision - Domain Adaptation Thomas Scialom PhD student Deep Learning - Reinforcement Learning - Text Generation Etienne Simon Deep Learning - Natural Language Processing - Information Extraction Bruno Taille PhD student Tom Veniat PhD Student Deep Learning - Budgeted Learning - Distributed Learning Yuan Yin PhD student 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)
- Eloi Zablocki (october 2019)
- Thomas Robert (september 2019)
- Tonnelier Emeric (july 2019)
- Hedi Ben Younes (may 2019)
- Aurélia Léon (may 2019)
- Micael Carvalho (dec 2018)
- Michael Blot (novembre 2018)
- Taylor Mordan (nov 2018)
- Zheng Wenjie (dec 2017)
- Dos Santos Ludovic (dec 2017)
- Ziat Ali (nov 2017)
- Guardia Sebaoun Elie (nov 2017)
- Durand Thibaut (sept 2017)
- Wang Xin (sept 2017)
- Contardo Gabriella (july 2017)
- Gisselbrecht Thibault (march 2017)
- Bourigault Simon (oct 2016)
- Chevalier Marion (dec 2016)
Complete team here.