mlsanityData to 14 Oct 2026

Transport based particle methods for the Fokker-Planck-Landau equation

arXiv 2405.10392 ↗First posted 16 May 2024math.NA cs.LG cs.NAcited by 4

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Abstract (arXiv)

We propose a particle method for numerically solving the Landau equation, inspired by the score-based transport modeling (SBTM) method for the Fokker-Planck equation. This method can preserve some important physical properties of the Landau equation, such as the conservation of mass, momentum, and energy, and decay of estimated entropy. We prove that matching the gradient of the logarithm of the approximate solution is enough to recover the true solution to the Landau equation with Maxwellian molecules. Several numerical experiments in low and moderately high dimensions are performed, with particular emphasis on comparing the proposed method with the traditional particle or blob method.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 10 of its 26 references that are in the map. First posted on arXiv 16 May 2024.

Builds on

10 of 26 references.

References · 10

  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. 2022Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptionscited by 445
  4. 2017A Tutorial on Kernel Density Estimation and Recent Advancescited by 101
  5. 2020Interacting particle solutions of Fokker-Planck equations through gradient-log-density estimationcited by 88
  6. 2022Probability flow solution of the Fokker-Planck equationcited by 47
  7. 2022Self-Consistency of the Fokker-Planck Equationcited by 18
  8. 2023Score-based Transport Modeling for Mean-Field Fokker-Planck Equationscited by 14
  9. 2024A score-based particle method for homogeneous Landau equationcited by 6
  10. 2023Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEscited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.