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.  Ludovic Denoyer Professor Deep Learning
Reinforcement Learning
Machine Learning 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 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 - Information retrieval -
Deep learning
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Associated researchers
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 |
PhD. students
Hedi Ben Younes PhD Student Deep Learning - Multimodal representation - Visual Question Answering  Michaël Blot PhD student Machine learning-deep learning-image classification-regularization-distributed training-information theory Patrick Bordes PhD Student 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  Micael Carvalho PhD student Deep Learning - Representation Spaces - Metric Learning  Mickael Chen PhD student Deep learning - Multiview learning Perrine Cribier-Delande PhD student Deep learning - Automous Driving - Context Learning Emmanuel De Bezenac PhD Student Edouard Delasalles PhD Student Representation Learning - Time Series Charles-Emmanuel Dias PhD Student Ludovic Dos Santos PhD Student Thibaut Durand PHD STUDENT Computer Vision - Machine Learning - Deep Learning - Weakly Supervised Learning Martin Engilberge PhD Student Thomas Gérald PhD Student Extreme Classification - Machine learning - Deep Learning Elie Guardia Sebaoun PhD Student Guillaume Lample PhD Student Mehdi Lamrayah PhD Student Multivariate Time Series - Deep Learning Aurélia Léon PhD Student Machine learning - Reinforcement learning - Budgeted learning Eloi Mehr PhD Student Charles Monzani PhD Student Taylor Mordan PhD Student Arthur Pajot PhD Student Deep Learning - Spatio temporal statistics - Times Series Thomas Robert PhD student deep learning - computer vision - semi-supervised learning Ludmilla Tajelbom PhD Student Emeric Tonnelier PhD Student Representation learning for mobility analysis Tom Veniat PhD Student Xin Wang PhD Student Eloi Zablocki PhD student Multi-modal representation learning -
Space and time in language Wenjie Zheng PhD Student Distributed Optimization -
Frank-Wolfe -
Nonparametric Statistics
Ali Ziat PhD Student Relational Time-Series Forecasting - Time-Series Classification- Deep Learning |
Invited researchers
- Li Mei – June-September 2017
- Shabunina Ekaterina – May-July 2017
- Cancellere Rossella – June 2017
- Cancelliere Rossella -March 2017
- Valle Eduardo – January-February 2017
- Gori Marco – September 2016
Former PhD students
Complete team here.