Discrete generative diffusion models without stochastic differential equations: A tensor network approach
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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 a learned stochastic differential equation. In standard DMs, this is done by le... ...
