Learning To Sample From Diffusion Models Via Inverse Reinforcement Learning

Constant Bourdrez, Alexandre Vérine, Olivier Cappé

Diffusion models generate samples through an iterative denoising process guided by a pretrained neural network. Once the denoiser is fixed, the sampling algorithm itself (noise sch…