Learning Stochastic Dynamics with Statistics-Informed Neural Network

24 February 2022

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

15 / 15 papers shown

Title
A Robust Model-Based Approach for Continuous-Time Policy Evaluation with Unknown Lévy Process Dynamics Qihao Ye Xiaochuan Tian Yuhua Zhu 68 1 0 02 Apr 2025
Neural Operator: Learning Maps Between Function Spaces Nikola B. Kovachki Zong-Yi Li Burigede Liu Kamyar Azizzadenesheli K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 114 449 0 19 Aug 2021
SPINN: Sparse, Physics-based, and partially Interpretable Neural Networks for PDEs A. A. Ramabathiran P. Ramachandran PINN AI4CE 81 79 0 25 Feb 2021
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations Winnie Xu Ricky T. Q. Chen Xuechen Li David Duvenaud BDL UQCV 54 49 0 12 Feb 2021
Learning interaction kernels in mean-field equations of 1st-order systems of interacting particles Quanjun Lang Fei Lu 40 22 0 29 Oct 2020
Learning interaction kernels in stochastic systems of interacting particles from multiple trajectories Fei Lu Mauro Maggioni Sui Tang 53 45 0 30 Jul 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
Machine Learning for Prediction with Missing Dynamics J. Harlim Shixiao W. Jiang Senwei Liang Haizhao Yang AI4CE 32 61 0 13 Oct 2019
PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs Xuhui Meng Zhen Li Dongkun Zhang George Karniadakis PINN AI4CE 66 453 0 23 Sep 2019
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise Xuanqing Liu Tesi Xiao Si Si Qin Cao Sanjiv Kumar Cho-Jui Hsieh 70 137 0 05 Jun 2019
Neural Jump Stochastic Differential Equations Junteng Jia Austin R. Benson BDL 65 226 0 24 May 2019
Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks Dongkun Zhang Ling Guo George Karniadakis AI4CE 69 213 0 03 May 2019
Wave Physics as an Analog Recurrent Neural Network Tyler W. Hughes Ian A. D. Williamson M. Minkov S. Fan 38 284 0 29 Apr 2019
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems Dongkun Zhang Lu Lu Ling Guo George Karniadakis UQCV 105 408 0 21 Sep 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 414 5,103 0 19 Jun 2018