Fast, Expressive SE$(n)$ Equivariant Networks through Weight-Sharing in
Position-Orientation Space

Fast, Expressive SE $(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space

4 October 2023

Erik J. Bekkers

Sharvaree P. Vadgama

Rob D. Hesselink

P. A. V. D. Linden

David W. Romero

Papers citing "Fast, Expressive SE$(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space"

13 / 13 papers shown

Title
Clifford Group Equivariant Diffusion Models for 3D Molecular Generation Cong Liu Sharvaree P. Vadgama David Ruhe Erik J Bekkers Patrick Forré DiffM 22 0 0 22 Apr 2025
Symmetries-enhanced Multi-Agent Reinforcement Learning N. Bousias Stefanos Pertigkiozoglou Kostas Daniilidis George Pappas AI4CE 76 0 0 02 Jan 2025
The NGT200 Dataset: Geometric Multi-View Isolated Sign Recognition Oline Ranum David R. Wessels Gomer Otterspeer Erik J. Bekkers Floris Roelofsen Jari I. Andersen SLR 31 0 0 03 Sep 2024
SE(3)-Hyena Operator for Scalable Equivariant Learning Artem Moskalev Mangal Prakash Rui Liao Tommaso Mansi 49 2 0 01 Jul 2024
Grounding Continuous Representations in Geometry: Equivariant Neural Fields David R. Wessels David M. Knigge Samuele Papa Riccardo Valperga Sharvaree P. Vadgama E. Gavves Erik J. Bekkers 47 7 0 09 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
On the Fourier analysis in the SO(3) space : EquiLoPO Network Dmitrii Zhemchuzhnikov Sergei Grudinin 35 0 0 24 Apr 2024
An Exploration of Conditioning Methods in Graph Neural Networks Yeskendir Koishekenov Erik J. Bekkers AI4CE 37 3 0 03 May 2023
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
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 102 127 0 11 Mar 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 206 14,368 0 07 Oct 2016