Interacting particle solutions of fokker–planck equations through gradient–log–density estimation
Fokker–Planck equations are extensively employed in various scientific fields as they
characterise the behaviour of stochastic systems at the level of probability density functions …
characterise the behaviour of stochastic systems at the level of probability density functions …
Physically consistent numerical solver for time-dependent Fokker-Planck equations
We present a simple thermodynamically consistent method for solving time-dependent
Fokker-Planck equations (FPE) for overdamped stochastic processes, also known as …
Fokker-Planck equations (FPE) for overdamped stochastic processes, also known as …
Probability flow solution of the fokker–planck equation
NM Boffi, E Vanden-Eijnden - Machine Learning: Science and …, 2023 - iopscience.iop.org
The method of choice for integrating the time-dependent Fokker–Planck equation (FPE) in
high-dimension is to generate samples from the solution via integration of the associated …
high-dimension is to generate samples from the solution via integration of the associated …
Efficient statistically accurate algorithms for the Fokker–Planck equation in large dimensions
N Chen, AJ Majda - Journal of Computational Physics, 2018 - Elsevier
Abstract Solving the Fokker–Planck equation for high-dimensional complex turbulent
dynamical systems is an important and practical issue. However, most traditional methods …
dynamical systems is an important and practical issue. However, most traditional methods …
Adaptive deep density approximation for Fokker-Planck equations
In this paper we present an adaptive deep density approximation strategy based on KRnet
(ADDA-KR) for solving the steady-state Fokker-Planck (FP) equations. FP equations are …
(ADDA-KR) for solving the steady-state Fokker-Planck (FP) equations. FP equations are …
Numerical solution of the Fokker–Planck equation using physics-based mixture models
Abstract The Fokker–Planck equation governs the uncertainty propagation of dynamical
systems driven by stochastic processes. The solution of the Fokker–Planck equation is a …
systems driven by stochastic processes. The solution of the Fokker–Planck equation is a …
A stochastic differential equation code for multidimensional Fokker–Planck type problems
A Kopp, I Büsching, RD Strauss, MS Potgieter - Computer Physics …, 2012 - Elsevier
We present a newly developed numerical code that integrates Fokker–Planck type transport
equations in four to six spatial dimensions (configuration plus momentum space) and time …
equations in four to six spatial dimensions (configuration plus momentum space) and time …
Nonparametric estimation for interacting particle systems: McKean–Vlasov models
L Della Maestra, M Hoffmann - Probability Theory and Related Fields, 2022 - Springer
We consider a system of N interacting particles, governed by transport and diffusion, that
converges in a mean-field limit to the solution of a McKean–Vlasov equation. From the …
converges in a mean-field limit to the solution of a McKean–Vlasov equation. From the …
Beating the curse of dimension with accurate statistics for the Fokker–Planck equation in complex turbulent systems
N Chen, AJ Majda - … of the National Academy of Sciences, 2017 - National Acad Sciences
Solving the Fokker–Planck equation for high-dimensional complex dynamical systems is an
important issue. Recently, the authors developed efficient statistically accurate algorithms for …
important issue. Recently, the authors developed efficient statistically accurate algorithms for …
Trend to equilibrium and particle approximation for a weakly selfconsistent Vlasov-Fokker-Planck equation
We consider a Vlasov-Fokker-Planck equation governing the evolution of the density of
interacting and diffusive matter in the space of positions and velocities. We use a …
interacting and diffusive matter in the space of positions and velocities. We use a …