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2203.08852
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Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
International Conference on Learning Representations (ICLR), 2022
16 March 2022
Marten Lienen
Stephan Günnemann
AI4TS
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Papers citing
"Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks"
29 / 29 papers shown
Pixel-level Quality Assessment for Oriented Object Detection
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Buliao Huang
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Finite Element Operator Network for Solving Elliptic-type parametric PDEs
SIAM Journal on Scientific Computing (SISC), 2023
Jae Yong Lee
Seungchan Ko
Youngjoon Hong
432
5
0
20 Feb 2025
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems
Fu Lin
Jiasheng Shi
Shijie Luo
Qinpei Zhao
Weixiong Rao
Lei Chen
AI4CE
135
2
0
07 Sep 2024
Learning-Based Finite Element Methods Modeling for Complex Mechanical Systems
Jiasheng Shi
Fu Lin
Weixiong Rao
AI4CE
170
2
0
30 Aug 2024
Unfolding Time: Generative Modeling for Turbulent Flows in 4D
Abdullah Saydemir
Marten Lienen
Stephan Günnemann
AI4CE
DiffM
315
6
0
17 Jun 2024
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
Xuan Zhang
Jacob Helwig
Yu-Ching Lin
Yaochen Xie
Cong Fu
Stephan Wojtowytsch
Shuiwang Ji
AI4CE
347
10
0
28 Mar 2024
Knowledge-guided Machine Learning: Current Trends and Future Prospects
Anuj Karpatne
X. Jia
Vipin Kumar
321
23
0
24 Mar 2024
Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance
Hao Wu
Fan Xu
Yifan Duan
Ziwei Niu
Weiyan Wang
Gaofeng Lu
Kun Wang
Yuxuan Liang
Yang Wang
DiffM
AI4CE
254
14
0
18 Mar 2024
JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
Artur Toshev
Harish D. Ramachandran
Jonas A. Erbesdobler
Gianluca Galletti
Johannes Brandstetter
Nikolaus A. Adams
206
7
0
07 Mar 2024
Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids
S. Cho
Jae Yong Lee
Hyung Ju Hwang
GNN
AI4CE
229
8
0
13 Feb 2024
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics
Artur Toshev
Jonas A. Erbesdobler
Nikolaus A. Adams
Johannes Brandstetter
AI4CE
234
8
0
09 Feb 2024
BENO: Boundary-embedded Neural Operators for Elliptic PDEs
International Conference on Learning Representations (ICLR), 2024
Haixin Wang
Jiaxin Li
Anubhav Dwivedi
Kentaro Hara
Tailin Wu
196
13
0
17 Jan 2024
Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs
Seungjun Lee
Taeil Oh
255
16
0
18 Dec 2023
Graph Network Surrogate Model for Subsurface Flow Optimization
Haoyu Tang
L. Durlofsky
217
30
0
14 Dec 2023
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
Neural Information Processing Systems (NeurIPS), 2023
Chuanbo Hua
Federico Berto
Michael Poli
Stefano Massaroli
Jinkyoo Park
AI4TS
AI4CE
191
7
0
25 Oct 2023
Learning Space-Time Continuous Neural PDEs from Partially Observed States
V. Iakovlev
Markus Heinonen
Harri Lähdesmäki
265
1
0
09 Jul 2023
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation
International Conference on Learning Representations (ICLR), 2023
Marten Lienen
David Lüdke
Jan Hansen-Palmus
Stephan Günnemann
DiffM
AI4CE
454
48
0
29 May 2023
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics
Brian Bartoldson
Yeping Hu
Amarjeet Saini
Jose Cadena
Yu-Hang Fu
Jie Bao
Zhijie Xu
Brenda Ng
P. Nguyen
AI4CE
153
2
0
01 Apr 2023
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods
Artur Toshev
Ludger Paehler
A. Panizza
Nikolaus A. Adams
AI4CE
PINN
269
5
0
31 Mar 2023
Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers
International Conference on Learning Representations (ICLR), 2023
Steeven Janny
Aurélien Béneteau
Madiha Nadri Wolf
Julie Digne
Nicolas Thome
Christian Wolf
AI4CE
395
51
0
16 Feb 2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series
Yesom Park
Jaemoo Choi
Changyeon Yoon
Changhoon Song
Myung-joo Kang
AI4TS
AI4CE
189
3
0
02 Feb 2023
Koopman neural operator as a mesh-free solver of non-linear partial differential equations
Journal of Computational Physics (JCP), 2023
Wei Xiong
Xiaomeng Huang
Ziyang Zhang
Ruixuan Deng
Pei Sun
Yang Tian
AI4CE
347
54
0
24 Jan 2023
A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations
Journal of Computational Physics (JCP), 2022
Rui Gao
Indu Kant Deo
R. Jaiman
AI4CE
150
30
0
30 Dec 2022
Transform Once: Efficient Operator Learning in Frequency Domain
Neural Information Processing Systems (NeurIPS), 2022
Michael Poli
Stefano Massaroli
Federico Berto
Minjun Kim
Tri Dao
Christopher Ré
Stefano Ermon
158
23
0
26 Nov 2022
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing
S. Faroughi
N. Pawar
C. Fernandes
Maziar Raissi
Subasish Das
N. Kalantari
S. K. Mahjour
PINN
AI4CE
262
68
0
14 Nov 2022
torchode: A Parallel ODE Solver for PyTorch
Marten Lienen
Stephan Günnemann
LRM
206
17
0
22 Oct 2022
Latent Neural ODEs with Sparse Bayesian Multiple Shooting
International Conference on Learning Representations (ICLR), 2022
V. Iakovlev
Çağatay Yıldız
Markus Heinonen
Harri Lähdesmäki
BDL
220
12
0
07 Oct 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Jayesh K. Gupta
Johannes Brandstetter
AI4CE
310
186
0
30 Sep 2022
Clifford Neural Layers for PDE Modeling
International Conference on Learning Representations (ICLR), 2022
Johannes Brandstetter
Rianne van den Berg
Max Welling
Jayesh K. Gupta
AI4CE
308
113
0
08 Sep 2022
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