Loss Curvature as a Sampling-Free Proxy for Memorization in Diffusion Models.

arXiv:2610.19042v1 Announce Type: cross 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