KL divergence bounds show stochasticity in diffusion sampling contracts error with exact scores, but for learned scores it can help or hurt depending on the time profile of the score error.
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The Effect of Stochasticity in Score-Based Diffusion Sampling: a KL Divergence Analysis
KL divergence bounds show stochasticity in diffusion sampling contracts error with exact scores, but for learned scores it can help or hurt depending on the time profile of the score error.