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#machine learning Preprint Sep 2026

Domain-Adapted Diffusion Models for Conditional Independence Testing

Domain-Adapted Diffusion (DA-Diff), a multi-source domain adaptation framework for conditional diffusion models based on weighted empirical risk minimization over both target and source domains, is proposed andExperiments demonstrate that DA-Diff improved conditional generation quality compared with transfer-learning d...

Yan-Feng Yang, Jun-Da Zhao, Yi-Jie Gao et al. · 0 citations

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