A unified perspective on fine-tuning and sampling with diffusion and flow models
arXiv:2605.00229v1 Announce Type: new
Abstract: We study the problem of training diffusion and flow generative models to sample from target distributions defined by an exponential tilting of a base density; a formulation that subsumes both sampling fr…