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NeuralPDE: Modelling Dynamical Systems from Data

NeuralPDE: Modelling Dynamical Systems from Data

15 November 2021
Andrzej Dulny
Andreas Hotho
Anna Krause
    AI4CE
ArXivPDFHTML

Papers citing "NeuralPDE: Modelling Dynamical Systems from Data"

9 / 9 papers shown
Title
Entropy stable conservative flux form neural networks
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
GrINd: Grid Interpolation Network for Scattered Observations
Andrzej Dulny
Paul Heinisch
Andreas Hotho
Anna Krause
25
1
0
28 Mar 2024
TaylorPDENet: Learning PDEs from non-grid Data
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
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
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
21
47
0
14 Nov 2022
NeuralSI: Structural Parameter Identification in Nonlinear Dynamical
  Systems
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
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
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
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
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