Clément Hongler

Mission Most of our research is devoted to statistical mechanics, quantum field theory and deep learning theory.Key projects include:--The investigation of the connection between lattice models and conformal field theories.--The dynamics of learning, in particular that of neural networks during training.--Artificial life, in particular continuous cellular automata.--Decentralized systems. Phone +41 79 884 69 57 2006: B.Sc. Math, EPFL2008: M.Sc. Math, EPFL2010: Ph.D. Math, Université de Genève2010-2014: Ritt Assistant Professor, Columbia University2014-2018: Tenure-Track Assistant Professor, EPFL2019-present: Associate Professor, EPFL Teaching & PhD PhD Students Ramzi Sofiane Dakhmouche Past EPFL PhD Students Sung Chul Park, Francesco Spadaro, Arthur Ulysse Jacot-Guillarmod, Berfin Simsek, Amire Bendjeddou, Golikov Evgenii Courses Probabilistic models of modern AI MATH-415 This is a course where we will cover various topics related to recent progress in AI. Emphasis will be on understanding conceptual and mathematical principles, and on relating those to experimental data for machine learning models used in practice.