Michigan AI seminar: continuous methods for discrete data MichiganAI (@michigan_AI) announced Ruqi Zhang's seminar, Continuous Methods for Discrete Spaces: From Sampling to Diffusion Language Models, on November 10, 2026, at 4:00 p.m. Eastern Time. The University of Michigan event page lists the talk as free and open to the public, with a Zoom link. The abstract covers gradient-informed sampling and approaches that connect discrete and continuous diffusion. For readers following language-model research, the useful question is how techniques developed for continuous variables can help model discrete tokens without losing the structure of the problem. Event details: https://cse.engin.umich.edu/event/ai-seminar-ruqi-zhang