Search Results for author: Xianbin Liu

Found 3 papers, 0 papers with code

Computing large deviation prefactors of stochastic dynamical systems based on machine learning

no code implementations20 Jun 2023 Yang Li, Shenglan Yuan, Linghongzhi Lu, Xianbin Liu

In this paper, we present large deviation theory that characterizes the exponential estimate for rare events of stochastic dynamical systems in the limit of weak noise.

A Machine Learning Framework for Computing the Most Probable Paths of Stochastic Dynamical Systems

no code implementations1 Oct 2020 Yang Li, Jinqiao Duan, Xianbin Liu

The emergence of transition phenomena between metastable states induced by noise plays a fundamental role in a broad range of nonlinear systems.

BIG-bench Machine Learning

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