Sparse Symplectically Integrated Neural Networks

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Sparse Symplectically Integrated Neural Networks

10 June 2020

Daniel M. DiPietro

Bo Zhu

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Papers citing "Sparse Symplectically Integrated Neural Networks"

18 / 18 papers shown

Title
Symplectic Neural Flows for Modeling and Discovery Priscilla Canizares Davide Murari Carola-Bibiane Schönlieb Ferdia Sherry Zakhar Shumaylov 128 2 0 21 Dec 2024
Data-Driven Discovery of Conservation Laws from Trajectories via Neural Deflation Shaoxuan Chen Panayotis G. Kevrekidis Hong-Kun Zhang Wei Zhu PINN 54 1 0 07 Oct 2024
Learning Dynamical Systems from Noisy Data with Inverse-Explicit Integrators Haakon Noren Sølve Eidnes E. Celledoni 59 4 0 06 Jun 2023
Pseudo-Hamiltonian system identification Sigurd Holmsen Sølve Eidnes S. Riemer-Sørensen 106 4 0 09 May 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 71 52 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 65 3 0 30 Sep 2022
Symplectically Integrated Symbolic Regression of Hamiltonian Dynamical Systems Daniel M. DiPietro Bo Zhu 28 1 0 04 Sep 2022
On Fast Simulation of Dynamical System with Neural Vector Enhanced Numerical Solver Zhongzhan Huang Senwei Liang Hong Zhang Haizhao Yang Liang Lin AI4CE 88 9 0 07 Aug 2022
Thermodynamics of learning physical phenomena Elías Cueto Francisco Chinesta AI4CE 93 22 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 99 20 0 06 Jun 2022
Learning Trajectories of Hamiltonian Systems with Neural Networks Katsiaryna Haitsiukevich Alexander Ilin 51 4 0 11 Apr 2022
Learning Neural Hamiltonian Dynamics: A Methodological Overview Zhijie Chen Mingquan Feng Junchi Yan H. Zha AI4CE 73 16 0 28 Feb 2022
Learning Hamiltonians of constrained mechanical systems E. Celledoni A. Leone Davide Murari B. Owren AI4CE 133 18 0 31 Jan 2022
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision I. Higgins Peter Wirnsberger Andrew Jaegle Aleksandar Botev 89 8 0 10 Nov 2021
Symplectic Learning for Hamiltonian Neural Networks M. David Florian Méhats 80 41 0 22 Jun 2021
KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-Zero Training Loss Yu-Hsueh Chen Takashi Matsubara Takaharu Yaguchi 34 4 0 22 Feb 2021
Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks Pengzhan Jin Zhen Zhang Ioannis G. Kevrekidis George Karniadakis 95 50 0 05 Dec 2020
Nonseparable Symplectic Neural Networks S. Xiong Yunjin Tong Xingzhe He Shuqi Yang Cheng Yang Bo Zhu 113 34 0 23 Oct 2020