arXiv stat.ML
· Papers
Denoising growth complexity: Data geometry and certified schedules for diffusion sampling
arXiv:2607.26285v1 Announce Type: cross Abstract: Two central challenges in diffusion-based sampling are the theoretical one of understanding their remarkable effectiveness even in high-dimensional settings, and the practical one of designing algorithms with certified performance guarantees. We show that these question