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Scalars are universal: Equivariant machine learning, structured like classical physics
11 June 2021
Soledad Villar
D. Hogg
Kate Storey-Fisher
Weichi Yao
Ben Blum-Smith
PINN
AI4CE
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Papers citing
"Scalars are universal: Equivariant machine learning, structured like classical physics"
28 / 28 papers shown
Title
Representing spherical tensors with scalar-based machine-learning models
Michelangelo Domina
Filippo Bigi
Paolo Pegolo
Michele Ceriotti
33
0
0
08 May 2025
The dark side of the forces: assessing non-conservative force models for atomistic machine learning
Filippo Bigi
Marcel F. Langer
Michele Ceriotti
AI4CE
79
6
0
16 Dec 2024
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics
Md Abrar Jahin
Md. Akmol Masud
Md Wahiduzzaman Suva
M. Mridha
Nilanjan Dey
46
1
0
03 Nov 2024
Improving Equivariant Model Training via Constraint Relaxation
Stefanos Pertigkiozoglou
Evangelos Chatzipantazis
Shubhendu Trivedi
Kostas Daniilidis
35
3
0
23 Aug 2024
EqNIO: Subequivariant Neural Inertial Odometry
Royina Karegoudra Jayanth
Yinshuang Xu
Ziyun Wang
Evangelos Chatzipantazis
Daniel Gehrig
Kostas Daniilidis
24
2
0
12 Aug 2024
On the Expressive Power of Sparse Geometric MPNNs
Yonatan Sverdlov
Nadav Dym
40
1
0
02 Jul 2024
Building Hybrid B-Spline And Neural Network Operators
Raffaele Romagnoli
Jasmine Ratchford
Mark H. Klein
AI4CE
13
1
0
06 Jun 2024
Steerable Transformers
Soumyabrata Kundu
Risi Kondor
ViT
LLMSV
22
1
0
24 May 2024
On the Completeness of Invariant Geometric Deep Learning Models
Zian Li
Xiyuan Wang
Shijia Kang
Muhan Zhang
23
2
0
07 Feb 2024
Any-dimensional equivariant neural networks
Eitan Levin
Mateo Díaz
13
6
0
10 Jun 2023
Fast computation of permutation equivariant layers with the partition algebra
Charles Godfrey
Michael G. Rawson
Davis Brown
Henry Kvinge
20
6
0
10 Mar 2023
Equivariant Networks for Crystal Structures
Sekouba Kaba
Siamak Ravanbakhsh
AI4CE
14
22
0
15 Nov 2022
A tradeoff between universality of equivariant models and learnability of symmetries
Vasco Portilheiro
10
2
0
17 Oct 2022
Theory for Equivariant Quantum Neural Networks
Quynh T. Nguyen
Louis Schatzki
Paolo Braccia
Michael Ragone
Patrick J. Coles
F. Sauvage
Martín Larocca
M. Cerezo
12
88
0
16 Oct 2022
Hierarchical Learning in Euclidean Neural Networks
Joshua A. Rackers
P. Rao
17
1
0
10 Oct 2022
Exact conservation laws for neural network integrators of dynamical systems
E. Müller
PINN
34
12
0
23 Sep 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning
Derek Lim
Joshua Robinson
Lingxiao Zhao
Tess E. Smidt
S. Sra
Haggai Maron
Stefanie Jegelka
14
138
0
25 Feb 2022
Direct Molecular Conformation Generation
Jinhua Zhu
Yingce Xia
Chang-Shu Liu
Lijun Wu
Shufang Xie
...
Tao Qin
Wen-gang Zhou
Houqiang Li
Haiguang Liu
Tie-Yan Liu
11
40
0
03 Feb 2022
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds
Georg Bökman
Fredrik Kahl
Axel Flinth
3DPC
11
19
0
30 Nov 2021
A simple equivariant machine learning method for dynamics based on scalars
Weichi Yao
Kate Storey-Fisher
D. Hogg
Soledad Villar
AI4CE
29
9
0
07 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
161
1,095
0
27 Apr 2021
Invariant polynomials and machine learning
W. Haddadin
24
7
0
26 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi
Max Welling
A. Wilson
71
185
0
19 Apr 2021
Learning with invariances in random features and kernel models
Song Mei
Theodor Misiakiewicz
Andrea Montanari
OOD
44
89
0
25 Feb 2021
Symmetry-adapted graph neural networks for constructing molecular dynamics force fields
Zun Wang
Chong Wang
Sibo Zhao
Shiqiao Du
Yong Xu
B. Gu
W. Duan
AI4CE
21
14
0
08 Jan 2021
Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks
M. Fenton
Alexander Shmakov
Ta-Wei Ho
S. Hsu
D. Whiteson
Pierre Baldi
26
31
0
19 Oct 2020
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
118
364
0
10 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
210
13,886
0
02 Dec 2016
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