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

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

Diffusion-based posterior samplers draw from measurement- or reward-conditioned posteriors using pretrained diffusion priors. Though widely used for inverse problems, their output…