Using information-theoretic identities, the authors prove non-asymptotic KL bounds for discrete-time diffusion sampling and show that matching higher moments accelerates convergence.
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Information-Theoretic Proofs for Diffusion Sampling
Using information-theoretic identities, the authors prove non-asymptotic KL bounds for discrete-time diffusion sampling and show that matching higher moments accelerates convergence.