Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2109.13901
Cited By
Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning
28 September 2021
Ziming Liu
Yunyue Chen
Yuanqi Du
Max Tegmark
PINN
AI4CE
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning"
15 / 15 papers shown
Title
Machine-learning hidden symmetries
Ziming Liu
Max Tegmark
58
54
0
20 Sep 2021
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
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
Victor Garcia Satorras
Emiel Hoogeboom
Max Welling
55
997
0
19 Feb 2021
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
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
F. Fuchs
Daniel E. Worrall
Volker Fischer
Max Welling
3DPC
66
683
0
18 Jun 2020
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
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
S. Udrescu
Max Tegmark
93
862
0
27 May 2019
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
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
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
M. Raissi
P. Perdikaris
George Karniadakis
PINN
AI4CE
57
912
0
28 Nov 2017
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
106
1,917
0
24 Feb 2016
1