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Physical Symmetries Embedded in Neural Networks

18 April 2019

Papers citing "Physical Symmetries Embedded in Neural Networks"

43 / 43 papers shown

Title
Effective Field Neural Network Xi Liu Yujun Zhao Chun Yu Wan Yang Zhang Junwei Liu AI4CE 85 0 0 24 Feb 2025
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency Taisuke Kobayashi Takumi Aotani 171 5 0 17 Dec 2024
Disentangled Representation Learning for Parametric Partial Differential Equations Ning Liu Lu Zhang Tian Gao Yue Yu DRL AI4CE 73 2 0 03 Oct 2024
Solving Oscillator Ordinary Differential Equations via Soft-constrained Physics-informed Neural Network with Small Data Kai-liang Lu Yu-meng Su Zhuo Bi Cheng Qiu Wen-jun Zhang PINN 63 0 0 19 Aug 2024
Physics-embedded Fourier Neural Network for Partial Differential Equations Qingsong Xu Nils Thuerey Yilei Shi Jonathan Bamber Chaojun Ouyang Xiao Xiang Zhu AI4CE 75 0 0 15 Jul 2024
Physics and geometry informed neural operator network with application to acoustic scattering S. Nair Timothy F. Walsh Greg Pickrell Fabio Semperlotti AI4CE 84 2 0 02 Jun 2024
Pairwise Comparisons Are All You Need Nicolas Chahine Sira Ferradans Jean Ponce 86 1 0 13 Mar 2024
A charge-preserving method for solving graph neural diffusion networks Lidia Aceto Pietro Antonio Grassi 40 0 0 16 Dec 2023
A conservative hybrid physics-informed neural network method for Maxwell-Ampère-Nernst-Planck equations Cheng Chang Zhouping Xin Tieyong Zeng 54 0 0 10 Dec 2023
One-Shot Transfer Learning for Nonlinear ODEs Wanzhou Lei P. Protopapas Joy Parikh PINN 46 1 0 25 Nov 2023
Machine Learning for the identification of phase-transitions in interacting agent-based systems: a Desai-Zwanzig example N. Evangelou Dimitrios G. Giovanis George A. Kevrekidis G. Pavliotis Ioannis G. Kevrekidis 72 0 0 29 Oct 2023
Fine-Tune Language Models as Multi-Modal Differential Equation Solvers Liu Yang Siting Liu Stanley J. Osher 39 0 0 09 Aug 2023
Geometric Clifford Algebra Networks David Ruhe Jayesh K. Gupta Steven De Keninck Max Welling Johannes Brandstetter AI4CE 139 37 0 13 Feb 2023
Characteristics-Informed Neural Networks for Forward and Inverse Hyperbolic Problems U. Braga-Neto PINN AI4CE 70 8 0 28 Dec 2022
Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian Physics-Informed Neural Networks Olga Graf P. Flores P. Protopapas K. Pichara PINN 69 6 0 14 Dec 2022
Physics-guided Data Augmentation for Learning the Solution Operator of Linear Differential Equations Yemo Li Yiwen Pang Bin Shan AI4CE 73 5 0 08 Dec 2022
On the Compatibility between Neural Networks and Partial Differential Equations for Physics-informed Learning Kuangdai Leng Jeyan Thiyagalingam PINN 60 3 0 01 Dec 2022
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
Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows Raphael Pellegrin Blake Bullwinkel M. Mattheakis P. Protopapas PINN AI4CE 68 9 0 01 Nov 2022
Why self-attention is Natural for Sequence-to-Sequence Problems? A Perspective from Symmetries Chao Ma Lexing Ying 63 2 0 13 Oct 2022
A connection between probability, physics and neural networks Sascha Ranftl PINN 68 9 0 26 Sep 2022
Exact conservation laws for neural network integrators of dynamical systems E. Müller PINN 110 14 0 23 Sep 2022
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks Blake Bullwinkel Dylan Randle P. Protopapas David Sondak 86 3 0 15 Sep 2022
Symplectically Integrated Symbolic Regression of Hamiltonian Dynamical Systems Daniel M. DiPietro Bo Zhu 28 1 0 04 Sep 2022
Physics-Informed Neural Networks for Quantum Eigenvalue Problems Henry Jin M. Mattheakis P. Protopapas 46 35 0 24 Feb 2022
A simple equivariant machine learning method for dynamics based on scalars Weichi Yao Kate Storey-Fisher D. Hogg Soledad Villar AI4CE 106 9 0 07 Oct 2021
Redatuming physical systems using symmetric autoencoders P. Bharadwaj Matthew T.C. Li L. Demanet 56 4 0 05 Aug 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 109 69 0 02 Jul 2021
Encoding Involutory Invariances in Neural Networks Anwesh Bhattacharya M. Mattheakis P. Protopapas 93 1 0 07 Jun 2021
Symmetry-driven graph neural networks Francesco Farina E. Slade 63 4 0 28 May 2021
Physical Constraint Embedded Neural Networks for inference and noise regulation Gregory Barber Mulugeta Haile Tzikang Chen PINN 27 1 0 19 May 2021
Beyond permutation equivariance in graph networks E. Slade Francesco Farina 53 3 0 25 Mar 2021
Joint Parameter Discovery and Generative Modeling of Dynamic Systems Gregory Barber Mulugeta Haile Tzikang Chen CML 34 4 0 19 Mar 2021
Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant Neural Networks Keming 名 Zhang 张可 J. Bloom 43 10 0 02 Nov 2020
Forecasting Hamiltonian dynamics without canonical coordinates A. Choudhary J. Lindner Elliott G. Holliday Scott T. Miller S. Sinha W. Ditto 63 26 0 28 Oct 2020
Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks Dylan Randle P. Protopapas David Sondak GAN 57 5 0 21 Jul 2020
A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables Maximilian Rixner P. Koutsourelakis AI4CE 85 22 0 02 Jun 2020
Neural Network Solutions to Differential Equations in Non-Convex Domains: Solving the Electric Field in the Slit-Well Microfluidic Device M. Magill Andrew M. Nagel H. D. de Haan 29 7 0 25 Apr 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 156 414 0 10 Mar 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 143 177 0 08 Feb 2020
Reservoir computing model of two-dimensional turbulent convection S. Pandey J. Schumacher 51 43 0 28 Jan 2020
Neural Canonical Transformation with Symplectic Flows Shuo-Hui Li Chen Dong Linfeng Zhang Lei Wang DRL 117 28 0 30 Sep 2019
PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs Xuhui Meng Zhen Li Dongkun Zhang George Karniadakis PINN AI4CE 90 456 0 23 Sep 2019