Locally-symplectic neural networks for learning volume-preserving
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Locally-symplectic neural networks for learning volume-preserving dynamics

19 September 2021

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Papers citing "Locally-symplectic neural networks for learning volume-preserving dynamics"

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Title
Approximation capabilities of measure-preserving neural networks Aiqing Zhu Pengzhan Jin Yifa Tang 56 8 0 21 Jun 2021
Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design C. Galimberti Luca Furieri Liang Xu Giancarlo Ferrari-Trecate 56 33 0 27 May 2021
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps Ren-Chuen Chen Molei Tao 58 52 0 09 Mar 2021
Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks Pengzhan Jin Zhen Zhang Ioannis G. Kevrekidis George Karniadakis 73 50 0 05 Dec 2020
Nonseparable Symplectic Neural Networks S. Xiong Yunjin Tong Xingzhe He Shuqi Yang Cheng Yang Bo Zhu 69 34 0 23 Oct 2020
Learning Physical Constraints with Neural Projections Shuqi Yang Xingzhe He Bo Zhu 3DV AI4CE 75 26 0 23 Jun 2020
Structure preserving deep learning E. Celledoni Matthias Joachim Ehrhardt Christian Etmann R. McLachlan B. Owren Carola-Bibiane Schönlieb Ferdia Sherry AI4CE 99 44 0 05 Jun 2020
Solving Newton's Equations of Motion with Large Timesteps using Recurrent Neural Networks based Operators J. Kadupitiya Geoffrey C. Fox V. Jadhao AI4CE 43 22 0 12 Apr 2020
Hamiltonian Generative Networks Peter Toth Danilo Jimenez Rezende Andrew Jaegle S. Racanière Aleksandar Botev I. Higgins BDL DRL AI4CE GAN 64 217 0 30 Sep 2019
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 209 225 0 29 Sep 2019
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty PINN 88 271 0 26 Sep 2019
Learning Symmetries of Classical Integrable Systems Roberto Bondesan A. Lamacraft 63 40 0 11 Jun 2019
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 118 894 0 04 Jun 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 417 5,111 0 19 Jun 2018
Searching for Activation Functions Prajit Ramachandran Barret Zoph Quoc V. Le 66 609 0 16 Oct 2017
Reversible Architectures for Arbitrarily Deep Residual Neural Networks B. Chang Lili Meng E. Haber Lars Ruthotto David Begert E. Holtham AI4CE 81 264 0 12 Sep 2017
Stable Architectures for Deep Neural Networks E. Haber Lars Ruthotto 145 729 0 09 May 2017
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 126 2,261 0 30 Oct 2014