Diffusion-Based Posterior Sampling: A Feynman-Kac Analysis of Bias and Stability

Matias G. Delgadino, Sebastien Motsch, Advait Parulekar +2

Diffusion-based posterior samplers use pretrained diffusion priors to sample from measurement- or reward-conditioned posteriors, and are widely used for inverse problems. Yet their…