Loss Curvature as a Sampling-Free Proxy for Memorization in Diffusion Models
arXiv:2610.19042v1 Announce Type: new Abstract: Understanding the mechanism behind why diffusion models memorize their training data remains an open question in generative modeling. In this paper, we examine this question from two perspectives: (a) the model-level perspective concerning the onset o…
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- 2026-10-15 04:00 · arXiv cs.LG
Loss Curvature as a Sampling-Free Proxy for Memorization in Diffusion Models