Discrete generative diffusion models without stochastic differential equations: a tensor network approach

Luke Causer, Grant M. Rotskoff, Juan P. Garrahan

Diffusion models (DMs) are a class of generative machine learning methods that sample a target distribution by transforming samples of a trivial (often Gaussian) distribution using…