Learning Stochastic Dynamics with Statistics-Informed Neural Network

24 February 2022

Papers citing "Learning Stochastic Dynamics with Statistics-Informed Neural Network"

10 / 10 papers shown

Title
A Robust Model-Based Approach for Continuous-Time Policy Evaluation with Unknown Lévy Process Dynamics Qihao Ye Xiaochuan Tian Yuhua Zhu 34 1 0 02 Apr 2025
Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning Minglei Lu Chensen Lin Martian Maxey George Karniadakis Zhen Li AI4CE 22 1 0 20 Mar 2024
Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling N. Evangelou Tianqi Cui J. M. Bello-Rivas Alexei Makeev Ioannis G. Kevrekidis 22 1 0 01 Nov 2023
Learning nonlinear integral operators via Recurrent Neural Networks and its application in solving Integro-Differential Equations Hardeep Bassi Yuanran Zhu Senwei Liang Jia Yin Cian C. Reeves Vojtěch Vlček Chao Yang 23 8 0 13 Oct 2023
Bayesian Inverse Transition Learning for Offline Settings Leo Benac S. Parbhoo Finale Doshi-Velez OffRL 11 0 0 09 Aug 2023
Probing reaction channels via reinforcement learning Senwei Liang Aditya Singh Yuanran Zhu David T. Limmer Chao Yang 13 6 0 27 May 2023
Learning Stochastic Dynamical System via Flow Map Operator Yuán Chen D. Xiu AI4CE 8 15 0 05 May 2023
Reservoir Computing with Error Correction: Long-term Behaviors of Stochastic Dynamical Systems Cheng Fang Yubin Lu Ting Gao Jinqiao Duan 25 4 0 01 May 2023
Learning effective stochastic differential equations from microscopic simulations: linking stochastic numerics to deep learning Felix Dietrich Alexei Makeev George A. Kevrekidis N. Evangelou Tom S. Bertalan Sebastian Reich Ioannis G. Kevrekidis DiffM 18 37 0 10 Jun 2021
SPINN: Sparse, Physics-based, and partially Interpretable Neural Networks for PDEs A. A. Ramabathiran P. Ramachandran PINN AI4CE 27 75 0 25 Feb 2021