Members

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 - 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

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

Arnaud Dapogny Postdoc Tarik Kaced Postdoc Information theory - Entropy - Probabilities

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 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 Micael Carvalho PhD student Deep Learning - Representation Spaces - Metric Learning Mickael Chen PhD student Deep learning - Multiview learning Yifu Chen PhD Student Perrine Cribier-Delande PhD student Deep learning - Automous Driving - Context Learning 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 Martin Engilberge PhD Student Deep learning - Multimodal representation - Visual understanding 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 Guillaume Lample PhD Student Unsupervised Learning - Natural Language Processing - Deep Reinforcement Learning Mehdi Lamrayah PhD Student Multivariate Time Series - Deep Learning Aurélia Léon PhD Student Machine learning - Reinforcement learning - Budgeted learning Ahmed Mazari PhD Student Deep learning - kernel networks - non-Euclidean data - computer vision - semi-supervised learning - action recognition in videos 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 Etienne Simon Deep Learning - Natural Language Processing - Information Extraction Emeric Tonnelier PhD Student Representation learning for mobility analysis Tom Veniat PhD Student Deep Learning - Budgeted Learning - Distributed Learning Eloi Zablocki PhD student Multi-modal representation learning - Space and time in language Wenjie Zheng PhD Student Distributed Optimization - Frank-Wolfe - Nonparametric Statistics

Invited researchers (since sept 2016)

• Cancellere Rossella – March 2017, June 2017, April 2018
• 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)

• 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.