分野別セミナー

The deep linear network is a matrix model introduced by computer scientists Arora, Cohen and Hazan to capture the effect of overparametrization in deep learning. This talk is a description of its mathematical structure that involves an interplay between geometry, dynamics and some probability.
This is joint work with Nadav Cohen (Tel Aviv) and Zsolt Veraszto (Brown).