Mixed Poisson diffusion models and application to posterior sampling

Thibaut Pellerin, Alain Durmus, Elinor Berger +1

Diffusion models are a powerful framework for learning complex probability distributions. While widely used diffusion models for continuous data rely on Gaussian noising processes,…