FoMI: A Seminar on the Foundations of Machine Intelligence

About

Join us for the FoMI Seminar — a cross-disciplinary series exploring the theoretical foundations of machine learning and intelligence, spanning mathematics, statistics, physics, and computer science.

Organizer

Coming Up

Date Speaker Title Materials Location/Link

Past Events

Date Speaker Title Materials
2025-07-24 11:00-12:00 (Beijing time) Siddhartha Mishra, ETH Zurich AI for data-driven simulations in Physics poster | slide
2025-07-16 10:00-11:00 (Beijing time) Johannes Schmidt-Hieber, University of Twente Overparametrization and the Bias-Variance Dilemma poster | slide
2025-06-05 15:00-16:00 (Beijing time) Yiqiao Zhong, UW-Madison Can large language models solve compositional tasks? A study of out-of-distribution generalization poster | slide
2025-04-10 10:00-11:00 (Beijing time) Jeremy Cohen, Flatiron Institute How does gradient descent work? poster | slide