François Fleuret

Adjunct Professor
francois.fleuret@epfl.ch +41 21 693 40 88 https://fleuret.org/francois/
Citizenship: Swiss, French
Birth date: 10.01.1972
Biography
François Fleuret got a PhD in Mathematics from INRIA and the University of Paris VI in 2000, and an Habilitation degree in Mathematics from the University of Paris XIII in 2006.He is Full Professor in the department of Computer Science at the University of Geneva, and Adjunct Professor in the School of Engineering of the École Polytechnique Fédérale de Lausanne. He has published more than 80 papers in peer-reviewed international conferences and journals.
He is Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence, serves as Area Chair for NeurIPS, AAAI, and ICCV, and in the program committee of many top-tier international conferences in machine learning and computer vision. He is member of the Electrical Engineering Doctoral Program Committee at EPFL, and was or is expert for multiple funding agencies.
He is the inventor of several patents in the field of machine learning, and co-founder of Neural Concept SA, a company specializing in the development and commercialization of deep learning solutions for engineering design.
His main research interest is machine learning, with a particular focus on computational aspects and small sample learning.
EPFL STI IEL LIDIAP
ELE 136 (Bâtiment ELE)
Station 14
CH-1015 Lausanne
Web site: Web site: https://idiap.epfl.ch/
EPFL AVP-PGE EDEE-ENS
ELB 112 (Bâtiment ELB)
Station 11
CH-1015 Lausanne
+41 21 693 40 88
Office:
ELB 112
EPFL
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Fields of expertise
Publications
Infoscience publications
Teaching & PhD
Teaching
Electrical and Electronics Engineering
PhD Programs
Doctoral Program in Electrical Engineering
Doctoral program in computer and communication sciences
PhD Students
Courdier Evann Pierre Guy, Dimitriadis Nikolaos, Johari Seyed Mohammad Mahdi, Katharopoulos Angelos, Marelli Francois Thierry M, Matoba Kyle Michael, Pagliardini Matteo, Pannatier Arnaud, Sivaprasad Prabhu Teja, Vyas Apoorv,Past EPFL PhD Students
Ali Karim , Bagautdinov Timur , Baqué Pierre Bruno , Ben Shitrit Horesh Beny , Berclaz Jérôme , Canévet Olivier , Chavdarova Tatjana , Dubout Charles , González Serrano Germán , Jose Cijo , Lefakis Leonidas , Newling James Peter , Shajkofci Adrian , Srinivas Suraj , Suditu Nicolae , Tulyakov Stepan ,Courses
Deep learning
It will touch on the following topics:
- What is deep learning, introduction to tensors.
- Basic machine-l