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Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed
  Learning

Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning

28 September 2021
Ziming Liu
Yunyue Chen
Yuanqi Du
Max Tegmark
    PINN
    AI4CE
ArXivPDFHTML

Papers citing "Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning"

15 / 15 papers shown
Title
Machine-learning hidden symmetries
Machine-learning hidden symmetries
Ziming Liu
Max Tegmark
58
54
0
20 Sep 2021
Do Vision Transformers See Like Convolutional Neural Networks?
Do Vision Transformers See Like Convolutional Neural Networks?
M. Raghu
Thomas Unterthiner
Simon Kornblith
Chiyuan Zhang
Alexey Dosovitskiy
ViT
98
938
0
19 Aug 2021
Machine-Learning Non-Conservative Dynamics for New-Physics Detection
Machine-Learning Non-Conservative Dynamics for New-Physics Detection
Ziming Liu
Bohan Wang
Qi Meng
Wei Chen
M. Tegmark
Tie-Yan Liu
PINN
AI4CE
63
15
0
31 May 2021
E(n) Equivariant Graph Neural Networks
E(n) Equivariant Graph Neural Networks
Victor Garcia Satorras
Emiel Hoogeboom
Max Welling
55
997
0
19 Feb 2021
Neural SDEs as Infinite-Dimensional GANs
Neural SDEs as Infinite-Dimensional GANs
Patrick Kidger
James Foster
Xuechen Li
Harald Oberhauser
Terry Lyons
DiffM
25
147
0
06 Feb 2021
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph
  modularity
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity
S. Udrescu
A. Tan
Jiahai Feng
Orisvaldo Neto
Tailin Wu
Max Tegmark
43
187
0
18 Jun 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
F. Fuchs
Daniel E. Worrall
Volker Fischer
Max Welling
3DPC
66
683
0
18 Jun 2020
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
160
426
0
10 Mar 2020
Learning Neural PDE Solvers with Convergence Guarantees
Learning Neural PDE Solvers with Convergence Guarantees
Jun-Ting Hsieh
Shengjia Zhao
Stephan Eismann
L. Mirabella
Stefano Ermon
AI4CE
28
141
0
04 Jun 2019
AI Feynman: a Physics-Inspired Method for Symbolic Regression
AI Feynman: a Physics-Inspired Method for Symbolic Regression
S. Udrescu
Max Tegmark
93
862
0
27 May 2019
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional
  Neural Network
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor
Zhen Lin
Shubhendu Trivedi
67
267
0
24 Jun 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
199
5,024
0
19 Jun 2018
Physics Informed Deep Learning (Part II): Data-driven Discovery of
  Nonlinear Partial Differential Equations
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINN
AI4CE
42
611
0
28 Nov 2017
Physics Informed Deep Learning (Part I): Data-driven Solutions of
  Nonlinear Partial Differential Equations
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINN
AI4CE
57
912
0
28 Nov 2017
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
106
1,917
0
24 Feb 2016
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