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Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics

Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics

23 May 2023
Koen Minartz
Y. Poels
Simon Koop
Vlado Menkovski
ArXivPDFHTML

Papers citing "Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics"

13 / 13 papers shown
Title
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
Ashwin Samudre
Mircea Petrache
Brian D. Nord
Shubhendu Trivedi
44
2
0
18 Sep 2024
Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates
Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates
Y. Poels
Koen Minartz
Harshit Bansal
Vlado Menkovski
AI4CE
37
1
0
27 May 2024
Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale
Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale
Pol Timmer
Koen Minartz
Vlado Menkovski
AI4CE
43
0
0
26 May 2024
Learning Controllable Adaptive Simulation for Multi-resolution Physics
Learning Controllable Adaptive Simulation for Multi-resolution Physics
Tailin Wu
Takashi Maruyama
Qingqing Zhao
Gordon Wetzstein
J. Leskovec
PINN
AI4CE
31
19
0
01 May 2023
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Jayesh K. Gupta
Johannes Brandstetter
AI4CE
53
117
0
30 Sep 2022
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed
  Boundary Conditions
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions
Masanobu Horie
Naoto Mitsume
PINN
AI4CE
26
23
0
24 May 2022
Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs
Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs
Çağatay Yıldız
M. Kandemir
Barbara Rakitsch
50
11
0
24 May 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
Rui Wang
Robin G. Walters
Rose Yu
35
73
0
28 Jan 2022
Frame Averaging for Invariant and Equivariant Network Design
Frame Averaging for Invariant and Equivariant Network Design
Omri Puny
Matan Atzmon
Heli Ben-Hamu
Ishan Misra
Aditya Grover
Edward James Smith
Y. Lipman
FedML
49
90
0
07 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,104
0
27 Apr 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
205
2,287
0
18 Oct 2020
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
241
438
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
278
1,400
0
01 Dec 2016
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