Clifford Group Equivariant Neural Networks

18 May 2023

Papers citing "Clifford Group Equivariant Neural Networks"

30 / 30 papers shown

Title
A Lorentz-Equivariant Transformer for All of the LHC Johann Brehmer Victor Bresó P. D. Haan Tilman Plehn Huilin Qu Jonas Spinner Jesse Thaler BDL 30 10 0 01 Nov 2024
Does equivariance matter at scale? Johann Brehmer S. Behrends P. D. Haan Taco S. Cohen 44 10 0 30 Oct 2024
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors Junru Zhou Cai Zhou Xiyuan Wang Pan Li Muhan Zhang 37 0 0 13 Oct 2024
STAResNet: a Network in Spacetime Algebra to solve Maxwell's PDEs Alberto Pepe Sven Buchholz Joan Lasenby 28 0 0 24 Aug 2024
Optimal Symmetries in Binary Classification Vishal S. Ngairangbam M. Spannowsky 34 1 0 16 Aug 2024
Metric Learning for Clifford Group Equivariant Neural Networks Riccardo Ali Paulina Kulyt.e Haitz Sáez de Ocáriz Borde Pietro Lio' 30 0 0 13 Jul 2024
SE(3)-Hyena Operator for Scalable Equivariant Learning Artem Moskalev Mangal Prakash Rui Liao Tommaso Mansi 49 2 0 01 Jul 2024
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency Yuchao Lin Jacob Helwig Shurui Gui Shuiwang Ji 42 7 0 11 Jun 2024
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks Cong Liu David Ruhe Patrick Forré 37 1 0 06 Jun 2024
E(n) Equivariant Message Passing Cellular Networks Veljko Kovač Erik J. Bekkers Pietro Lio' Floor Eijkelboom 39 1 0 05 Jun 2024
E(n) Equivariant Topological Neural Networks Claudio Battiloro Ege Karaismailoglu Mauricio Tec George Dasoulas Michelle Audirac Francesca Dominici 52 5 0 24 May 2024
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics Jonas Spinner Victor Bresó P. D. Haan Tilman Plehn Jesse Thaler Johann Brehmer AI4CE 34 16 0 23 May 2024
On the Fourier analysis in the SO(3) space : EquiLoPO Network Dmitrii Zhemchuzhnikov Sergei Grudinin 35 0 0 24 Apr 2024
ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3D Dmitrii Zhemchuzhnikov Sergei Grudinin 33 1 0 28 Mar 2024
LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes Julian Suk Baris Imre J. Wolterink MedIm 34 4 0 12 Mar 2024
Clifford-Steerable Convolutional Neural Networks Maksim Zhdanov David Ruhe Maurice Weiler Ana Lucic Johannes Brandstetter Patrick Forré 47 12 0 22 Feb 2024
Clifford Group Equivariant Simplicial Message Passing Networks Cong Liu David Ruhe Floor Eijkelboom Patrick Forré 27 13 0 15 Feb 2024
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers P. D. Haan Taco S. Cohen Johann Brehmer 30 9 0 08 Nov 2023
Fast, Expressive SE $(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space Erik J. Bekkers Sharvaree P. Vadgama Rob D. Hesselink P. A. V. D. Linden David W. Romero 15 24 0 04 Oct 2023
PCN: A Deep Learning Approach to Jet Tagging Utilizing Novel Graph Construction Methods and Chebyshev Graph Convolutions Yash Semlani Mihir Relan Krithik Ramesh GNN 29 3 0 12 Sep 2023
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling Kin Long Kelvin Lee Carmelo Gonzales Marcel Nassar Matthew Spellings Mikhail Galkin Santiago Miret 32 15 0 12 Sep 2023
Geometric Algebra Transformer Johann Brehmer P. D. Haan S. Behrends Taco S. Cohen 39 26 0 28 May 2023
Learning Lagrangian Fluid Mechanics with E( $3$ )-Equivariant Graph Neural Networks Artur P. Toshev Gianluca Galletti Johannes Brandstetter Stefan Adami Nikolaus A. Adams AI4CE 27 5 0 24 May 2023
Rotation-equivariant Graph Neural Networks for Learning Glassy Liquids Representations F. Pezzicoli Guillaume Charpiat François P. Landes 21 6 0 06 Nov 2022
Clifford Neural Layers for PDE Modeling Johannes Brandstetter Rianne van den Berg Max Welling Jayesh K. Gupta AI4CE 62 80 0 08 Sep 2022
Geometric Algebra Attention Networks for Small Point Clouds Matthew Spellings 3DPC 50 12 0 05 Oct 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 111 315 0 25 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 79 185 0 19 Apr 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials Simon L. Batzner Albert Musaelian Lixin Sun Mario Geiger J. Mailoa M. Kornbluth N. Molinari Tess E. Smidt Boris Kozinsky 206 1,240 0 08 Jan 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016