The authors derive information-theoretic generalization bounds for VAEs and diffusion models that expose a trade-off in the diffusion time T, and propose using the computable bound to select T and regularize training.
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Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
The authors derive information-theoretic generalization bounds for VAEs and diffusion models that expose a trade-off in the diffusion time T, and propose using the computable bound to select T and regularize training.