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cs.LG2026
Dual-guided Hierarchical Edge Localization for Large-scale Optimal Transport Across Dimensions
Wenzhou Xia, Qiaoqiao Ding, Jingwei Liang +1
Optimal transport (OT) compares distributions and aligns datasets in machine learning, yet unregularized discrete OT requires a linear program with quadratically many transport var…
cs.LG2023
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach Integrating Maximum Mean Discrepancy and Optimal Transport
Zhe Xiong, Qiaoqiao Ding, Xiaoqun Zhang
Finding a transformation between two unknown probability distributions from finite samples is crucial for modeling complex data distributions and performing tasks such as sample ge…