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Baoxiang He

1 accepted papers

2026

The Accumulation of Score Estimation Error in Diffusion Models

ICML 2026poster

Diffusion models are widely used for high-quality generation, but their performance is sensitive to the accuracy of the estimated score. We first develop our main bounds in a Gaussian-mixture setting, where the score admits a closed-form structure and the score Hessian can be controlled explicitly, …

Cited by 0SourceScholar