Cover Image

Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cai, Zhiqiang, Cao, Yu, Huang, Yuanfei, Zhou, Xiang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Numerical Analysis Mathematical Physics Dynamical Systems Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Phase transitions for interacting particle systems on random graphs
by: Bertoli, Benedetta, et al.
Published: (2025)

Path-Kernel Method for Differentiating Unstable Diffusions
by: Ni, Angxiu
Published: (2025)

Adjoint-Based Projections for Uncertainty Quantification near Stochastically Perturbed Limit Cycles and Tori
by: Ahsan, Zaid, et al.
Published: (2024)

Stochastic modeling of Fourier modes in two-dimensional turbulence via filtered white noise
by: Cifani, Paolo, et al.
Published: (2026)

Data-driven approximation of transfer operators for mean-field stochastic differential equations
by: Ioannou, Eirini, et al.
Published: (2025)

The Geometry of Quasi-Cycles: How Stoichiometric Covariance Alters Pre-Bifurcation Signatures
by: Wang, Louis Shuo, et al.
Published: (2026)

Method of Successive Approximations for Stochastic Optimal Control: Contractivity and Convergence
by: Taoufik, Safouane, et al.
Published: (2024)

Quadratization of Autonomous Partial Differential Equations: Theory and Algorithms
by: Olivieri, Albani, et al.
Published: (2026)

Existence and uniqueness for the solutions of non-autonomous stochastic differential algebraic equations with locally Lipschitz coefficients
by: Serea, Oana Silvia, et al.
Published: (2024)

Stochastic multisymplectic PDEs and their structure-preserving numerical methods
by: Hu, Ruiao, et al.
Published: (2025)

Neural Field Equations with random data
by: Avitabile, Daniele, et al.
Published: (2025)

GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions
by: Lopez, Ryan, et al.
Published: (2022)

Weak-Form Recovery of Stochastic Generators and Dynamical Invariants
by: A, Eshwar R, et al.
Published: (2026)

Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
by: Jeong, Minchan, et al.
Published: (2025)

Space-Time Statistical Solutions of the Incompressible Euler Equations and Landau-Lifshitz Fluctuating Hydrodynamics
by: Eyink, Gregory L., et al.
Published: (2024)

On a Stationarity Theory for Stochastic Volterra Integral Equations
by: Gnabeyeu, Emmanuel, et al.
Published: (2025)

Dynamic mode decomposition as an analysis tool for time-dependent partial differential equations
by: Rot, Miha, et al.
Published: (2022)

Model discovery on the fly using continuous data assimilation
by: Newey, Joshua, et al.
Published: (2024)

Sampling via Gradient Flows in the Space of Probability Measures
by: Chen, Yifan, et al.
Published: (2023)

Randomized coordinate gradient descent almost surely escapes strict saddle points
by: Chen, Ziang, et al.
Published: (2025)

Existence of Invariant Probability Measures for Stochastic Differential Equations with Finite Time Delay
by: Bosch, Mark van den, et al.
Published: (2024)

Data-driven Discovery of Delay Differential Equations with Discrete Delays
by: Pecile, Alessandro, et al.
Published: (2024)

Mesoscopic and Macroscopic Entropy Balance Equations in a Stochastic Dynamics and Its Deterministic Limit
by: Qian, Hong, et al.
Published: (2024)

Computer assisted proofs for transverse heteroclinics by the parameterization method
by: Murray, Maxime, et al.
Published: (2024)

The Thermal Explosion Revisited
by: Barenblatt, G. I., et al.
Published: (1999)

Euler--Poincaré reduction and the Kelvin--Noether theorem for discrete mechanical systems with advected parameters and additional dynamics
by: Ono, Yusuke, et al.
Published: (2025)

Equilibrium Moment Analysis of Itô SDEs
by: Sabin-Miller, David, et al.
Published: (2025)

Error Estimation in the Mean-Field Limit of Kinetic Flocking Models with Local Alignments
by: Wang, Jinhuan, et al.
Published: (2024)

Modified Equations for Stochastic Optimization
by: Perko, Stefan
Published: (2025)

Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows
by: Chen, Yifan, et al.
Published: (2024)

Embedding Method by Real Numerical Algebraic Geometry for Structurally Unamenable Differential-Algebraic Equations
by: Yang, Wenqiang, et al.
Published: (2021)

Strong Stability Preservation for Stochastic Partial Differential Equations
by: Woodfield, James
Published: (2024)

Stochastic Wright's Equation: Existence of Invariant Measures
by: Bosch, Mark van den, et al.
Published: (2026)

Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation
by: Malpica-Morales, Antonio, et al.
Published: (2024)

Solving linear-rate ODE hierarchies (like master equations) using closures and operator splitting
by: Chang, Joshua C
Published: (2026)

DUE: A Deep Learning Framework and Library for Modeling Unknown Equations
by: Chen, Junfeng, et al.
Published: (2025)

Vocabulary for Universal Approximation: A Linguistic Perspective of Mapping Compositions
by: Cai, Yongqiang
Published: (2023)

Continuation for Nonlinear Elliptic Partial Differential Equations Discretized by the Multiquadric Method
by: Fedoseyev, A. I., et al.
Published: (1998)

A Dynamics-Informed Gaussian Process Framework for 2D Stochastic Navier-Stokes via Quasi-Gaussianity
by: Hamzi, Boumediene, et al.
Published: (2025)

Uniform Boundedness of Homogeneous Incompressible Flows in $\mathbb{R}^3$
by: Iotti, Ulisse
Published: (2025)