Florent Krzakala
Florent Krzakala
Home
Talks
Books
Contact
Teaching
Team
Alumni
CV
Light
Dark
Automatic
Academic
Statistical Physics Methods in Optimization and Machine Learning: An Introduction to Replica, Cavity & Message-Passing techniques
Incomplete lecture notes (in preparation) on statistical physics methods in optimization, computer science and machine learning
Apr 27, 2024
Summer school on Statistical Physics of Machine learning
Lectures note of the Les Houches school, July 2022 (to appear soon)
Apr 27, 2024
Fundamentals of inference and learning EE-411
EPFL set of lectures on the theory of statistics, inference, and machine learning.
Florent Krzakala
,
吳恩達
Last updated on Mar 19, 2024
1 min read
Demo
,
教程
Mecanique quantique et theorie des groupes, PHYS 314
A set of Lectures given at EPFL on quantum mechanics
Florent Krzakala
,
吳恩達
Last updated on Sep 10, 2024
1 min read
Demo
,
教程
Numerical Physics and Machine Learning
Lecture Master 2, Ecole Normale Superieure 2020-2021, ICFP
Florent Krzakala
,
吳恩達
Last updated on Mar 19, 2024
1 min read
Demo
,
教程
Physique Stastistique, PHYS 338
A set of Lectures given at EPFL on statistical physics
Florent Krzakala
,
吳恩達
Last updated on Sep 10, 2024
1 min read
Demo
,
教程
Statistical Physics For Optimization and Learning
A set of Lectures given at Duke in 2018 by Lenka Zdeborova and Florent Krzakala
Florent Krzakala
,
吳恩達
Last updated on Mar 19, 2024
1 min read
Demo
,
教程
Statistical Physics For Optimization and Learning
A Set of Lectures given at EPFL in 2021 by Lenka Zdeborova and Florent Krzakala
Florent Krzakala
,
吳恩達
Last updated on Mar 19, 2024
1 min read
Demo
,
教程
Statistical Physics, Optimization, Inference, and Message-Passing Algorithms
Lectures note of the Les Houches school, October 2013
Apr 27, 2024
The quantum adiabatic algorithm applied to random optimization problems: The quantum spin glass perspective
A review of quantum algoriths from the spin glass, statistical physics, and phase transition perspectives
Apr 27, 2024
Cite
×
