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2006.12972
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Sparse Symplectically Integrated Neural Networks
Neural Information Processing Systems (NeurIPS), 2020
10 June 2020
Daniel M. DiPietro
S. Xiong
Bo Zhu
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Papers citing
"Sparse Symplectically Integrated Neural Networks"
18 / 18 papers shown
Symplectic Neural Flows for Modeling and Discovery
Priscilla Canizares
Davide Murari
Carola-Bibiane Schönlieb
Ferdia Sherry
Zakhar Shumaylov
PINN
385
6
0
21 Dec 2024
Data-Driven Discovery of Conservation Laws from Trajectories via Neural Deflation
Communications in nonlinear science & numerical simulation (CNSNS), 2024
Shaoxuan Chen
Panayotis G. Kevrekidis
Hong-Kun Zhang
Wei Zhu
PINN
294
5
0
07 Oct 2024
Learning Dynamical Systems from Noisy Data with Inverse-Explicit Integrators
Haakon Noren
Sølve Eidnes
E. Celledoni
247
5
0
06 Jun 2023
Pseudo-Hamiltonian system identification
Journal of Computational Dynamics (J. Comput. Dyn.), 2023
Sigurd Holmsen
Sølve Eidnes
S. Riemer-Sørensen
404
6
0
09 May 2023
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
310
75
0
14 Nov 2022
Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian
Oswin So
Gongjie Li
Evangelos A. Theodorou
Molei Tao
AI4CE
244
3
0
30 Sep 2022
Symplectically Integrated Symbolic Regression of Hamiltonian Dynamical Systems
Daniel M. DiPietro
Bo Zhu
125
5
0
04 Sep 2022
On Fast Simulation of Dynamical System with Neural Vector Enhanced Numerical Solver
Scientific Reports (Sci Rep), 2022
Zhongzhan Huang
Senwei Liang
Hong Zhang
Haizhao Yang
Guanbin Li
AI4CE
282
11
0
07 Aug 2022
Thermodynamics of learning physical phenomena
Archives of Computational Methods in Engineering (ACME), 2022
Elías Cueto
Francisco Chinesta
AI4CE
398
29
0
26 Jul 2022
Pseudo-Hamiltonian Neural Networks with State-Dependent External Forces
Sølve Eidnes
Alexander J. Stasik
Camilla Sterud
Eivind Bøhn
S. Riemer-Sørensen
463
24
0
06 Jun 2022
Learning Trajectories of Hamiltonian Systems with Neural Networks
International Conference on Artificial Neural Networks (ICANN), 2022
Katsiaryna Haitsiukevich
Alexander Ilin
182
5
0
11 Apr 2022
Learning Neural Hamiltonian Dynamics: A Methodological Overview
Zhijie Chen
Mingquan Feng
Junchi Yan
H. Zha
AI4CE
244
17
0
28 Feb 2022
Learning Hamiltonians of constrained mechanical systems
Journal of Computational and Applied Mathematics (JCAM), 2022
E. Celledoni
A. Leone
Davide Murari
B. Owren
AI4CE
338
20
0
31 Jan 2022
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
Neural Information Processing Systems (NeurIPS), 2021
I. Higgins
Peter Wirnsberger
Andrew Jaegle
Aleksandar Botev
279
9
0
10 Nov 2021
Symplectic Learning for Hamiltonian Neural Networks
M. David
Florian Méhats
208
57
0
22 Jun 2021
KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-Zero Training Loss
AAAI Conference on Artificial Intelligence (AAAI), 2021
Yu-Hsueh Chen
Takashi Matsubara
Takaharu Yaguchi
179
5
0
22 Feb 2021
Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Pengzhan Jin
Zhen Zhang
Ioannis G. Kevrekidis
George Karniadakis
397
60
0
05 Dec 2020
Nonseparable Symplectic Neural Networks
International Conference on Learning Representations (ICLR), 2020
S. Xiong
Yunjin Tong
Xingzhe He
Shuqi Yang
Cheng Yang
Bo Zhu
433
45
0
23 Oct 2020
1
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