Related seminar

[Benjamin Landon]

Hello all,

I have been asked to forward the seminar announcement below to this mailing list, as there are some connections to probability and so it may be of interest.

Speaker: Govind Menon (Brown University)

Title: Towards a geometric theory of deep learning

Time: 3:00pm, Feb 10 2026

Abstract: This talk consists of two parts, one rigorous and one speculative. The rigorous part is a description of the geometric structure of the deep linear network (DLN): a phenomenological model of deep learning. We illustrate several surprising connections between the DLN and other areas of mathematics (geometric invariant theory, minimal surfaces and random matrix theory) and use this as a basis for a thermodynamic description of the learning process.

This rich structure is then used as a basis for some speculation on the geometry of training dynamics for deep learning.

The talk is based on joint work with several co-authors (especially Nadav Cohen, Kathryn Lindsey, Zsolt Veraszto and Tianmin Yu).

Fields Institute, Room 309

Zoom link:

https://zoom.us/j/94685506028?pwd=Ne3u0XRaaZgYcK5aatatPhSaGXalCu.1