mlsanityData to 14 Oct 2026

Score-based Transport Modeling for Mean-Field Fokker-Planck Equations

arXiv 2305.03729 ↗First posted 21 Apr 2023math.NA cs.LG cs.NAcited by 14

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Abstract (arXiv)

We use the score-based transport modeling method to solve the mean-field Fokker-Planck equations, which we call MSBTM. We establish an upper bound on the time derivative of the Kullback-Leibler (KL) divergence to MSBTM numerical estimation from the exact solution, thus validates the MSBTM approach. Besides, we provide an error analysis for the algorithm. In numerical experiments, we study two types of mean-field Fokker-Planck equation and their corresponding dynamics of particles in interacting systems. The MSBTM algorithm is numerically validated through qualitative and quantitative comparison between the MSBTM solutions, the results of integrating the associated stochastic differential equation and the analytical solutions if available.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 4 of its 15 references that are in the map. First posted on arXiv 21 Apr 2023.

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4 of 15 references.

References · 4

  1. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 9,122
  2. 2019Generative Modeling by Estimating Gradients of the Data Distributioncited by 4,101
  3. 2022Probability flow solution of the Fokker-Planck equationcited by 47
  4. 2022Self-Consistency of the Fokker-Planck Equationcited by 18

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Citing papers per year: 2024: 7; 2025: 3; 2026: 4.

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