Deep learning algorithm for data-driven simulation of noisy dynamical system

22 February 2018

Papers citing "Deep learning algorithm for data-driven simulation of noisy dynamical system"

21 / 21 papers shown

Title
LLM4ED: Large Language Models for Automatic Equation Discovery Mengge Du Yuntian Chen Zhongzheng Wang Longfeng Nie Dong-juan Zhang 41 3 0 13 May 2024
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning S Chandra Mouli M. A. Alam Bruno Ribeiro OOD 29 4 0 06 Mar 2023
SDYN-GANs: Adversarial Learning Methods for Multistep Generative Models for General Order Stochastic Dynamics P. Stinis C. Daskalakis P. Atzberger SyDa GAN 27 5 0 07 Feb 2023
Exploring Complex Dynamical Systems via Nonconvex Optimization Hunter L. Elliott 18 0 0 03 Jan 2023
Deep Learning for Stability Analysis of a Freely Vibrating Sphere at Moderate Reynolds Number A. Chizfahm R. Jaiman AI4CE 12 0 0 18 Dec 2021
Generative Adversarial Network for Probabilistic Forecast of Random Dynamical System K. Yeo Zan Li Wesley M. Gifford SyDa GAN AI4TS AI4CE 33 4 0 04 Nov 2021
Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme Noura Dridi Lucas Drumetz Ronan Fablet 14 6 0 18 May 2021
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm for state estimation Zhuang Shi 35 11 0 01 May 2021
Deep Chaos Synchronization M. Mobini Georges Kaddoum 9 8 0 17 Apr 2021
Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations Duong Nguyen Said Ouala Lucas Drumetz Ronan Fablet 15 13 0 04 Sep 2020
Data-Driven Continuum Dynamics via Transport-Teleport Duality Jong-Hoon Ahn AI4CE 22 0 0 27 May 2020
Physics-Incorporated Convolutional Recurrent Neural Networks for Source Identification and Forecasting of Dynamical Systems Priyabrata Saha Saurabh Dash Saibal Mukhopadhyay AI4CE 20 29 0 14 Apr 2020
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network K. Yeo D. E. C. Grullon Fan-Keng Sun Duane S. Boning Jayant Kalagnanam BDL 26 3 0 02 Mar 2020
Reinforcement Learning Framework for Deep Brain Stimulation Study Dmitrii Krylov Rémi Tachet des Combes Romain Laroche M. Rosenblum Dmitry Dylov OffRL 11 12 0 22 Feb 2020
Learning functionals via LSTM neural networks for predicting vessel dynamics in extreme sea states J. Ferrandis M. Triantafyllou C. Chryssostomidis George Karniadakis 21 61 0 23 Dec 2019
Differentiable programming and its applications to dynamical systems A. Hernández José M. Amigó 16 10 0 17 Dec 2019
Coercing Machine Learning to Output Physically Accurate Results Z. Geng Dan Johnson Ronald Fedkiw 3DH 21 37 0 21 Oct 2019
Data-driven Reconstruction of Nonlinear Dynamics from Sparse Observation K. Yeo 19 28 0 10 Jun 2019
Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction N. Benjamin Erichson Michael Muehlebach Michael W. Mahoney AI4CE PINN 6 140 0 26 May 2019
Short note on the behavior of recurrent neural network for noisy dynamical system K. Yeo 11 13 0 05 Apr 2019
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations Duong Nguyen Said Ouala Lucas Drumetz Ronan Fablet 15 29 0 25 Mar 2019