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Sparse Symplectically Integrated Neural Networks

10 June 2020

Daniel M. DiPietro

S. Xiong

Bo Zhu

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Papers citing "Sparse Symplectically Integrated Neural Networks"

22 / 22 papers shown

Title
Discovering Symbolic Models from Deep Learning with Inductive Biases M. Cranmer Alvaro Sanchez-Gonzalez Peter W. Battaglia Rui Xu Kyle Cranmer D. Spergel S. Ho AI4CE 92 483 0 19 Jun 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 173 123 0 26 Mar 2020
Plug and Play Language Models: A Simple Approach to Controlled Text Generation Sumanth Dathathri Andrea Madotto Janice Lan Jane Hung Eric Frank Piero Molino J. Yosinski Rosanne Liu KELM 151 979 0 04 Dec 2019
Variational Integrator Networks for Physically Structured Embeddings Steindór Sæmundsson Alexander Terenin Katja Hofmann M. Deisenroth GNN AI4CE 74 50 0 21 Oct 2019
Newton vs the machine: solving the chaotic three-body problem using deep neural networks Philip G. Breen Christopher N. Foley Tjarda Boekholt Simon Portegies Zwart AI4CE 75 73 0 16 Oct 2019
Hamiltonian Generative Networks Peter Toth Danilo Jimenez Rezende Andrew Jaegle S. Racanière Aleksandar Botev I. Higgins BDL DRL AI4CE GAN 79 218 0 30 Sep 2019
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 209 225 0 29 Sep 2019
NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data Yifan Sun Linan Zhang Hayden Schaeffer AI4TS 70 92 0 08 Aug 2019
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 139 899 0 04 Jun 2019
AI Feynman: a Physics-Inspired Method for Symbolic Regression S. Udrescu Max Tegmark 168 887 0 27 May 2019
Machine Learning for Fluid Mechanics Steven Brunton B. R. Noack Petros Koumoutsakos AI4CE PINN 91 2,132 0 27 May 2019
Applying machine learning to improve simulations of a chaotic dynamical system using empirical error correction P. Watson AI4Cl AI4CE 59 65 0 24 Apr 2019
Machine Learning of coarse-grained Molecular Dynamics Force Fields Jiang Wang Simon Olsson C. Wehmeyer Adria Pérez Nicholas E. Charron Gianni De Fabritiis Frank Noe C. Clementi AI4CE 54 406 0 04 Dec 2018
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network Zichao Long Yiping Lu Bin Dong AI4CE 89 553 0 30 Nov 2018
Data Driven Governing Equations Approximation Using Deep Neural Networks Tong Qin Kailiang Wu D. Xiu PINN 86 275 0 13 Nov 2018
Discovering conservation laws from data for control E. Kaiser J. Nathan Kutz Steven L. Brunton 80 49 0 02 Nov 2018
Discovering physical concepts with neural networks Raban Iten Tony Metger H. Wilming L. D. Rio R. Renner PINN AI4CE 109 391 0 26 Jul 2018
MaskGAN: Better Text Generation via Filling in the______ W. Fedus Ian Goodfellow Andrew M. Dai 123 470 0 23 Jan 2018
PDE-Net: Learning PDEs from Data Zichao Long Yiping Lu Xianzhong Ma Bin Dong DiffM AI4CE 75 761 0 26 Oct 2017
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations M. Raissi George Karniadakis AI4CE PINN 87 1,144 0 02 Aug 2017
Residual Attention Network for Image Classification Fei Wang Mengqing Jiang Chao Qian Shuo Yang Cheng Li Honggang Zhang Xiaogang Wang Xiaoou Tang 126 3,317 0 23 Apr 2017
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.2K 150,501 0 22 Dec 2014