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François Fleuret is Research Scientist at Meta Fundamental AI Research in the Core Learning and Reasoning team, and Full Professor and head of the Machine Learning group in the department of Computer Science at the University of Geneva where he holds the chair of machine learning. He received his PhD in Mathematics from INRIA and the University of Paris VI in 2000, and his Habilitation degree in Mathematics from the University of Paris XIII in 2006.
He has published more than 130 papers in peer-reviewed international conferences and journals, and is the author of the Little Book of Deep Learning, downloaded more than 600'000 times as of July 2024. He was Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence, from 2012 to 2022, 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.