Summer School on Statistical Physics and Machine Learning

Summer school
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.

The applications are now closed. Answers to applicants will be provided by April 30th, 2022.

The total registration fee including housing and meals is 1 920,00 € (VAT at 20% included).
Depending on Grants we may obtain in the next few months, we may be able to offer Fellowships to selected participants.
Financial Assistance may be requested while applying.

Published on  October 7, 2021
Updated on  March 4, 2022