Summer school
Summer School on Statistical Physics and Machine Learning
July 4, 2022 - July 29, 2022
The school is aimed primarily at the growing audience of theoretical physicists, applied mathematicians, computer scientists and colleagues from other computational fields interested in machine learning, neural networks, and high-dimensional data analysis. We shall cover basics and frontiers of high-dimensional statistics, machine learning, theory of computing and statistical learning, and the related mathematics and probability theory. We will put a special focus on methods of statistical physics and their results in the context of current questions and theories related to these problems. Open questions and directions will be discussed as well.
This Summer School is organized by:

Lenka ZDEBOROVA, EPFL, Switzerland and IPhT, University Paris-Saclay, France
Florent KRZAKALA, EPFL, Switzerland and LPS, ENS Paris, France

More information can be found on the School's Website.

To download the School's Poster, please click HERE.

To apply, please click HERE. (Applications to the School will be possible very soon)
Published on  October 7, 2021
Updated on November 23, 2021