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 …