2026
Discrete Diffusion Samplers and Bridges: Off-Policy Algorithms and Applications in Latent Spaces
ICML 2026poster
Sampling from a distribution $p(x) \propto e^{-\mathcal{E}(x)}$ known up to a normalising constant is an important and challenging problem in statistics. Recent years have seen the rise of a new family of amortised sampling algorithms, commonly referred to as diffusion samplers, that enable fast and…