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
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

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
persogithub
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.