Theoretical Physics Colloquium

Statistical physics of artificial neural networks

by Prof. Lenka Zdeborova (Ecole Polytechnique Federale de Lausanne)

Tuesday, May 18, 2021 from to (Asia/Kolkata)
at Zoom
Description
The affinity between statistical physics and machine learning has long history, this is reflected even in the machine learning terminology that is in part adopted from physics. I will describe the main lines of this long-lasting friendship in the context of current theoretical challenges and open questions about deep learning. Theoretical physics often proceeds in terms of solvable synthetic models, I will describe the related line of work on solvable models of simple feed-forward neural networks. I will highlight a path forward to capture the subtle interplay between the structure of the data, the architecture of the network, and the learning algorithm.