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#machine learning Preprint Sep 2026

Robustness of Diffusion Models under Distribution Shift

This work studies robust score estimation under Wasserstein perturbations of a reference distribution of Ornstein--Uhlenbeck diffusion and characterize how finite data, intrinsic dimension, and distribution shift affect the robustness of score-based diffusion models.

Wei Luo, N. K. Chada, Shi-Jie Zhang et al. · 0 citations

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