Class Type: Fall 2026
SILO: Convex analysis at infinity: An introduction to astral space
Abstract Not all convex functions have finite minimizers; some can only be minimized by a sequence as it heads to infinity, making it much harder, for instance, to prove convergence. This work develops an expansive new theory for understanding such minimizers at infinity, introducing astral space, a compact extension of …
SILO: Few-Step Likelihoods of Flow and Diffusion Models: Applications to Images and Molecules
Abstract Flow and diffusion models define processes that generate samples from progressively less noisy versions of the data distribution. I will present a line of work on estimating the marginal probability densities along these processes, culminating in the density of the data distribution itself. Our methods are both sample-efficient to …