Florent Krzakala is a full professor at École polytechnique fédérale de Lausanne in Switzerland. His research interests include Statistical Physics, Machine Learning, Statistics, Signal Processing, Computer Science and Computational Optics. He leads the IdePHIcs “Information, Learning and Physics” laboratory in the Physics and Engineering departments in EPFL. He is also the founder and scientific advisor of the startup Lighton.
I am curently looking for Ph.D students and postdocs. Send me a mail!
Roma, La Sapienza
PhD in Statistical Physics, 2002
Orsay, Paris XI
MSc in Physics, 1999
Orsay, Paris XI
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Invited talk at the Workshop on the Theory of Overparameterized Machine Learning (TOPML) 2021
The Alan Turing Institute
KITP Conference: At the Crossroad of Physics and Machine Learning
NeurIPS2019 workshop: Science meets Engineering of Deep Learning
KITP Conference: The Rough High-Dimensional Landscape Problem
A lecture at the 2018 Beg Rohu school on Deep Learning
Disordered serendipity: a glassy path to discovery; A workshop in honour of Giorgio Parisi’s 70th birthday
Talk given at the Flatiron institute in Newyork, April 30, 2019
Current or recent classes
Lecture given in the international master Physics of Complex Systems on computational science
EPFL set of lectures on the theory of statistics, inference, and machine learning.
An introductory pratical course by Florent Krzakala and Antoine Baker, Ecole Doctorale EDPIF 2019
A set of Lectures given at Duke in 2018 by Lenka Zdeborova and Florent Krzakala
A set of Lectures given at EPFL in 2021 by Lenka Zdeborova and Florent Krzakala
Meet the team working in the Sphinx Group. Our interdisplinary research group embodies physicists, mathematicians, and computer scientists working together to solve problems ranging from statistics to signal processing and machine learning. Feel free to check the group github repo.
The SPHINX team acknowledge funding from:
… and where to find them