Flow Sampling: Learning to Sample from Unnormalized Densities via Denoising Conditional Processes

概要

arXiv:2605.03984v1 Announce Type: cross Abstract: Sampling from unnormalized densities is analogous to the generative modeling problem, but the target distribution is defined by a known energy function instead of data samples. Because evaluating the energy function is often costly, a primary challe…