Algorithm- and Data-Dependent Generalization Bounds for Score-Based Generative Models
Published in arxiv, 2025
This paper studies the generalization property of diffusion models through the lens of statistical learning. We develop a perspective that enables using existing tools to characterize the generalization ability of these generative models.