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Aug 2026
Low-Rank Prior-Induced Consistency Flow Matching for Efficient Traffic Imputation
Low-Rank Prior-Induced Consistency Flow Matching (LOFT) is proposed for efficient and effective distribution modeling under highly sparse data, and introduces an uncertainty-aware rectification mechanism to enable efficient inference by linearizing generative trajectories.
Xiaowei Mao, Tingrui Wu, Yawen Yang et al.
· Proceedings of the 32nd ACM... · 0 citations