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

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

Hadrien Titeux
Engineers
Recommendation - Time series classification
github

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
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
Deep learning for physical processes
Edouard Delasalles
PhD Student
Representation Learning - Time Series
Charles-Emmanuel Dias
PhD Student
Deep Learning - Recommender systems - Sentiment classification
github
Ludovic Dos Santos
PhD Student
Thibaut Durand
PhD
Computer Vision - Machine Learning - Deep Learning - Weakly Supervised Learning
Martin Engilberge
PhD Student
Deep learning - Multimodal representation - Visual understanding
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
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
Ludmilla Tajelbom
PhD Student
Emeric Tonnelier
PhD Student
Representation learning for mobility analysis
Tom Veniat
PhD Student
Deep Learning - Budgeted Learning - Distributed Learning
github
Xin Wang
PhD
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
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.