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#machine learning Preprint Sep 2026

Robustness of Diffusion Models under Distribution Shift

Score-based diffusion models are increasingly considered in settings where the underlying data distribution may differ from the training distribution, yet existing theoretical guarantees largely focus on the no-shift setting. In this work, we study robust score estimation under Wasserstein perturbations of a reference...

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

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