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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Xiaowei Mao

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Book Open access 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. · 0 citations
Book Open access 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. · 0 citations

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