Auteur/autrice : François Fleuret
François Fleuret is Full Professor and head of the Machine Learning group in the department of Computer Science at the University of Geneva, Adjunct Professor in the School of Engineering of the École Polytechnique Fédérale de Lausanne, and External Research Fellow at the Idiap research institute. He 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 has published more than 80 papers in peer-reviewed international conferences and journals, is Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence, serves as Area Chair for NeurIPS, ICML, AAAI, and ICCV, and in the program committees of many top-tier international conferences in machine learning and computer vision. He 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 sample efficiency.