Posts

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
Statistical Physics Methods in Optimization and Machine Learning: An Introduction to Replica, Cavity & Message-Passing techniques
Summer school on Statistical Physics of Machine learning
Lectures note of the Les Houches school, July 2022 (to appear soon)
Apr 27, 2024
Summer school on Statistical Physics of Machine learning
Statistical physics of inference: thresholds and algorithms
A review of statistical physics of inference, with a focus on algorithms and statistical to computational gaps
Last updated on Apr 27, 2024
Statistical physics of inference: thresholds and algorithms
Statistical Physics, Optimization, Inference, and Message-Passing Algorithms
Lectures note of the Les Houches school, October 2013
Apr 27, 2024
Statistical Physics, Optimization, Inference, and Message-Passing Algorithms
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
The quantum adiabatic algorithm applied to random optimization problems: The quantum spin glass perspective