François Fleuret

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Biography
François Fleuret received the PhD degree in Mathematics from the University of Paris VI in 2000, and the habilitation degree in Mathematics from the University of Paris XIII in 2006. He is the head of the Computer Vision and Learning group at the Idiap Research Institute, Switzerland. Prior to that, he held positions at the University of Chicago, USA, at the Institut de Recherche en Informatique et en Automatique (INRIA), France, and at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He serves as Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence, and is expert for several European funding agencies.

EPFL STI IEL LIDIAP
ELD 230 (Bâtiment ELD)
Station 14
CH-1015 Lausanne

EPFL E E-DOC EDEE-ENS

Administrative data

Fields of expertise

Machine Learning, Computer Vision

Publications

Teaching & PhD

Teaching

  • Computer Science,
  • Communication Systems

PhD Programs

  • Doctoral Program in Electrical Engineering
  • Doctoral program in computer and communication sciences

PhD Students

Courses

Deep learning

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Doctoral Program in Electrical Engineering, 2018-2019, Master semester 4, language : english
Section of Electrical and Electronical Engineering, 2018-2019, Master semester 2, language : english
Section of Electrical and Electronical Engineering, 2018-2019, Master semester 4, language : english
Section of Mathematics, 2018-2019, Master semester 2, language : english
Section of Mathematics, 2018-2019, Master semester 4, language : english

Machine Learning for Engineers

The objective of this course is to give an overview of machine learning techniques used for real-world applications, and to teach how to implement and use them in practice. goto

Doctoral Program in Electrical Engineering, 2018-2019, language : english