arXiv stat.ML
· Papers
Provable Diffusion Posterior Sampling for Bayesian Inversion
arXiv:2512.08022v2 Announce Type: replace Abstract: We propose a novel diffusion-based posterior sampling method within a plug-and-play framework. Our approach constructs a probability transport from an easy-to-sample distribution to the target posterior via a diffusion process. To initialize the sampler efficiently, w