Loss curvature as a sampling-free proxy for memorization in diffusion models
Read the original at arxiv.org→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...
Original headline: "Loss Curvature as a Sampling-Free Proxy for Memorization in Diffusion Models"
Coverage timeline
- Oct 15, 04:00 UTC arXiv cs.LG lead source Loss Curvature as a Sampling-Free Proxy for Memorization in Diffusion Models