Generalization, memorization, and overfitting for diffusion models trained in the lazy high-dimensional regime

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arXiv:2608.23938v1 Announce Type: new Abstract: Modern score-based generative models have achieved remarkable empirical success in high-dimensional tasks such as image, audio, and video synthesis. These models reduce distribution learning to a sequence of regression problems that, if solved exactly…

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1. 2026-08-26 04:00 · arXiv stat.ML
   Generalization, memorization, and overfitting for diffusion models trained in the lazy high-dimensional regime