Author

Jingzehua Xu

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Preprint Oct 2026

Calibrating Generative Flows through Regional Probability Matching

Generative models offer a powerful route to scientific simulation and discovery by enabling the study of complex populations and rare phenomena. Flow matching can generate realistic samples, yet inaccurate occurrence frequencies can distort population statistics and compromise inferences about rare events. Here we deve...

Yu-Bo Huang, Xiong-Yu Hu, Xin Lai et al. · 0 citations

#machine learning Preprint Oct 2026

Learning Domain Trajectories with Flow Matching for Gradual Domain Adaptation

FlowGDA is proposed, a flow-matching framework that models gradual adaptation as continuous transport on a statistical manifold in a representation space and outperforms state-of-the-art techniques, validating flow matching as an effective alternative for domain adaptation.

Yu-Bo Huang, Yu-She Cao, Zi-Xi Wang et al. · 0 citations