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. 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 - Riemaniann geometry for machine learning - 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 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)

• 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.