arXiv Machine Learning July 28, 2026 By Jinshu Huang, Yiming Jiang, Chunlin Wu

From Score Learning to Discretized Sampling: An End-to-End Generalization Analysis of Diffusion Models

Read the original on arXiv Machine Learning →

arXiv:2607. 23226v1 Announce Type: new Abstract: Despite the empirical success of score-based diffusion models, a complete theoretical understanding of how finite-sample learning, network parameterization, and numerical discretization jointly dictate generative quality remains underdeveloped.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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