NeuralPDE: Modelling Dynamical Systems from Data

15 November 2021

Papers citing "NeuralPDE: Modelling Dynamical Systems from Data"

9 / 9 papers shown

Title
Entropy stable conservative flux form neural networks Lizuo Liu Tongtong Li Anne Gelb Yoonsang Lee 26 0 0 04 Nov 2024
GrINd: Grid Interpolation Network for Scattered Observations Andrzej Dulny Paul Heinisch Andreas Hotho Anna Krause 20 1 0 28 Mar 2024
TaylorPDENet: Learning PDEs from non-grid Data Paul Heinisch Andrzej Dulny Anna Krause Andreas Hotho OOD DiffM AI4CE 17 0 0 26 Jun 2023
DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data Andrzej Dulny Andreas Hotho Anna Krause AI4CE 8 6 0 09 Jun 2023
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing Salah A. Faroughi N. Pawar C. Fernandes Maziar Raissi Subasish Das N. Kalantari S. K. Mahjour PINN AI4CE 18 47 0 14 Nov 2022
NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems Xuyang Li H. Bolandi Talal Salem N. Lajnef Vishnu Naresh Boddeti 14 2 0 26 Aug 2022
Recognition Models to Learn Dynamics from Partial Observations with Neural ODEs Mona Buisson-Fenet V. Morgenthaler Sebastian Trimpe F. D. Meglio 30 6 0 25 May 2022
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,230 0 24 Nov 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 201 7,884 0 13 Jun 2015