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New algorithm tackles complex mean-field Schrödinger bridge problems

Researchers have developed a generalized Sinkhorn algorithm to address the computationally challenging mean-field Schrödinger bridge problem. This problem involves controlling a diffusion process with nonlocal interactions to reach a target distribution, modeling large-scale multi-agent systems. The proposed method utilizes a generalization of the Hopf-Cole transform and offers convergence guarantees under specific assumptions, demonstrated through numerical examples with both repulsive and attractive interactions. AI

RANK_REASON The cluster contains an academic paper detailing a new algorithm for a specific mathematical problem. [lever_c_demoted from research: ic=1 ai=0.4]

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COVERAGE [1]

  1. arXiv stat.ML TIER_1 English(EN) · Asmaa Eldesoukey, Yongxin Chen, Abhishek Halder ·

    A Generalized Sinkhorn Algorithm for Mean-Field Schr\"odinger Bridge

    arXiv:2604.06531v3 Announce Type: replace-cross Abstract: The mean-field Schr\"odinger bridge (MFSB) problem concerns designing a minimum-effort controller that guides a diffusion process with nonlocal interaction to reach a given distribution from another by a fixed deadline. Un…