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20122026
most citedMean exit time and escape probability for dynamical systems driven by Levy noise

4 citations · 12 across the 18 of their papers we have counts for

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8 papers · 1 filter

math.DS2026

Nonlocal Hamiltonian Dynamics on Sparse Lévy Graphs: Spectral Analysis and Multimodal Sampling

Miaolei Zheng, Ting Gao, Jinqiao Duan

We develop a sparse graph method for transporting probability mass toward multimodal target distributions through damped nonlocal Hamiltonian dynamics. The formulation combines log…

math.DS2026

Geometric Methods for Stochastic Dynamical Systems: A Concise Introduction

Jinqiao Duan, Ting Gao, Qiao Huang +1

There is growing interest in stochastic dynamics in the applied mathematics, interdis-ciplinary science, and artificial intelligence communities. This book is written primarilyfor…

math.DS2026

A Jacobi Field Approach to Splitting Detection in Schrödinger Bridge

Chunhai Jiao, Jin Guo, Haoyan Zhang +2

We study the problem of detecting the onset of path splitting in stochastic interpolation between probability distributions. This question is especially subtle when the target dist…

math.DS2025

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing

Jiani Cheng, Ting Gao, Jinqiao Duan

The rapid advancement of neuroscience and machine learning has established data-driven stochastic dynamical system modeling as a powerful tool for understanding and controlling hig…

math.DS2024

Critical Transitions in Interacting Particle Systems: An Onsager-Machlup Action Functional Framework

Jianyu Chen, Ting Gao, Galina Strelkova +1

This paper establishes an indirect approximation theorem for the most probable transition pathway of a stochastic interacting particle system in the mean-field framework. This pape…

math.DS2024

Action Functional as an Early Warning Indicator in the Space of Probability Measures via Schrödinger Bridge

Peng Zhang, Ting Gao, Jin Guo +1

Critical transitions and tipping phenomena between two meta-stable states in stochastic dynamical systems are a significant scientific issue. In this work, we expand the methodolog…

math.DS2024★ 2 cited

Fourier neural operator based fluid-structure interaction for predicting the vesicle dynamics

Wang Xiao, Ting Gao, Kai Liu +2

Solving complex fluid-structure interaction (FSI) problems, characterized by nonlinear partial differential equations, is crucial in various scientific and engineering applications…

math.DS2023

Reservoir Computing with Error Correction: Long-term Behaviors of Stochastic Dynamical Systems

Cheng Fang, Yubin Lu, Ting Gao +1

The prediction of stochastic dynamical systems and the capture of dynamical behaviors are profound problems. In this article, we propose a data-driven framework combining Reservoir…