Announcement_3

Diffusion Neural Sampler
MLG Reading Group at University of Cambridge
_{Abstract: Sampling from unnormalized density is a fundamental task in machine learning. Recently, motivated by the success of diffusion models, diffusion-based neural sampler start to gain attention. In this talk, we will look at several recently developed diffusion-based neural samplers, and discuss their design choices. We classify diffusion/controlled-based neural samplers according to either their choices of sampling process, or their training objectives. By combining different sampling process with different objectives, we can recover almost all diffusion/controlled-based neural samplers in recent literatures.}