Fokker--Planck Equation

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  1. Beyond Gradient Flow: Identifiability and Recovery from Distribution Snapshots

    Sep 28, 2026Nam D. Nguyen, Valeriya MalyshevaFokker--Planck EquationSnapshots

  2. Closed-Form of the Local Galactic Potential and Stellar Distribution Function from Gaia DR3

    Sep 8, 2026Indranil Das, Adam Kamoski, Dora Demiri +3General RelativityFokker--Planck Equation

  3. A cylindrical neural approximation theorem for conditional laws of McKean-Vlasov equations with common noise

    Aug 8, 2026Nacira Agram, Reda Hmioui, Jan RemsNeural ApproximationsFokker--Planck Equation

  4. Explicit and Stable Pseudospectral Time-Domain Method for the Föppl-von Kármán Equations

    Aug 6, 2026Victor Zheleznov, Stefan BilbaoFinite Element MethodSpectral Representation Method

  5. Stochastic Counterdiabatic Driving via Biorthogonal Liouvillian Eigenmodes

    Jul 27, 2026Sandeep Suresh Cranganore, Sebastian Lehner, Johannes Brandstetter +1Fokker--Planck EquationStatistical Physics

  6. A Coulomb Particle Model for Learning Kernel Attention in Transformers

    Jul 26, 2026Masoud Badiei Khuzani, Sharath Honnaiah, Atiq Islam +2Atom-Averaged FeaturesTransformer Attention

  7. Actor-Critic Learning for Extended Mean Field Control with Deterministic Policies

    Jul 13, 2026Ziheng Cheng, Xin Guo, Huyên Pham +1Stochastic Optimal ControlModel-Free Reinforcement Learning

  8. A Hyperbolic Neural Closure for M1 Radiation Transfer

    Jul 11, 2026Bongseok Kim, Jiahao Zhang, Johannes Krotz +3JacobianSolar Irradiance

  9. Introduction to Stochastic Differential Equations for Generative Machine Learning: A Variational Perspective

    Jun 30, 2026Ole Winther, Paul Jeha, Sander Dieleman +3Stochastic Differential EquationsVariational

  10. Mean-Field PhiBE: Continuous-Time Mean-Field Reinforcement Learning from Discrete-Time Data

    Jun 25, 2026Erhan Bayraktar, Martin Hernandez, Qinxin Yan +1Stochastic Optimal ControlModel-Free

  11. Structure-Oriented Randomized Neural Networks for Poisson-Nernst-Planck and Poisson-Nernst-Planck-Navier-Stokes Systems

    Jun 18, 2026Yunlong Li, Fei WangReynolds-Averaged Navier-StokesFokker--Planck Equation

  12. Operator learning for solving Fokker-Planck equations with various initial conditions

    Jun 8, 2026Li Zeng, Xiaoliang Wan, Yaobin Wang +2Fokker--Planck EquationParametric Physics-Informed Neural Network

  13. Diffusion Models Observe Only Gradients: A Geometric Perspective on Score Matching Errors

    Jun 4, 2026Naïl B. Khelifa, Richard E. Turner, Ramji VenkataramananScore-Based Diffusion ModelDiffusion Models

  14. Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries

    Jun 3, 2026Riccardo Saporiti, Fabio NobileDiffusion BridgesBayesian Inference

  15. Thinned Mean Field Langevin Dynamics

    May 27, 2026Zonghao Chen, Heishiro Kanagawa, François-Xavier Briol +2Mean-Field LimitLangevin Dynamics

  16. Multi-Fidelity Learning with Shallow Recurrent Decoders for Reactor Physics

    May 22, 2026Stefano Riva, Carolina Introini, J. Nathan Kutz +1Multi-FidelityNuclear Data

  17. Why SGD is not Brownian Motion: A New Perspective on Stochastic Dynamics

    May 21, 2026Igor Ignashin, Anna Radovskaya, Andrew Semenov +7Stochastic Gradient DescentStochastic Differential Equations

  18. Physics-Informed Generative Solver: Bridging Data-Driven Priors and Conservation Laws for Stable Spatiotemporal Field Reconstruction

    May 21, 2026Ziyuan Zhu, Keyu Hu, Zhifei Chen +10Bayesian Inverse ProblemsScalar Field

  19. Broken-symmetry shape discrimination on a driven Duffing ring

    May 8, 2026Kaspar Anton SchindlerSymmetryQubit

  20. spectroxide: A code package for computing cosmic microwave background spectral distortions

    Apr 27, 2026Ethan Baker, Hongwan Liu, Siddharth Mishra-SharmaCosmologyDistortion

  21. Structure-Aware Variational Learning of a Class of Generalized Diffusions

    Apr 22, 2026Yubin Lu, Xiaofan Li, Chun Liu +2VariationalFokker--Planck Equation

  22. An Analysis of Regularization and Fokker-Planck Residuals in Diffusion Models for Image Generation

    Apr 16, 2026Onno Niemann, Gonzalo Martínez Muñoz, Alberto Suárez GonzalezDiffusion ModelsRegularization

  23. Neural Galerkin Normalizing Flow for Transition Probability Density Functions of Diffusion Models

    Mar 19, 2026Riccardo Saporiti, Fabio NobileNormalizing FlowsFokker--Planck Equation

  24. Understanding Fire Through Thermal Radiation Fields for Mobile Robots

    Feb 22, 2026Anton R. Wagner, Madhan Balaji Rao, Xuesu Xiao +1Wildfire DetectionMobile Robots

  25. Adaptive Probability Flow Residual Minimization for High-Dimensional Fokker-Planck Equations

    Dec 22, 2025Xiaolong Wu, Qifeng LiaoFokker--Planck EquationHessian

  26. DeepSPoC: A Deep Learning Based Sequential Propagation of Chaos

    Aug 29, 2024Kai Du, Yongle Xie, Tao Zhou +1Fokker--Planck EquationParticle Dynamics