Geometric Clifford Algebra Networks

Geometric Clifford Algebra Networks

13 February 2023

Jayesh K. Gupta

Steven De Keninck

Johannes Brandstetter

Papers citing "Geometric Clifford Algebra Networks"

16 / 16 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
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks Cong Liu David Ruhe Patrick Forré 37 1 0 06 Jun 2024
Understanding Vector-Valued Neural Networks and Their Relationship with Real and Hypercomplex-Valued Neural Networks Marcos Eduardo Valle 19 3 0 14 Sep 2023
Fast Dynamic 1D Simulation of Divertor Plasmas with Neural PDE Surrogates Y. Poels G. Derks E. Westerhof Koen Minartz Sven Wiesen Vlado Menkovski 3DGS AI4CE 19 16 0 30 May 2023
Multi-View Independent Component Analysis with Shared and Individual Sources T. Pandeva Patrick Forré CML 15 5 0 05 Oct 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling Jayesh K. Gupta Johannes Brandstetter AI4CE 55 118 0 30 Sep 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
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries Zong-Yi Li Daniel Zhengyu Huang Burigede Liu Anima Anandkumar AI4CE 119 251 0 11 Jul 2022
Geometric Algebra Attention Networks for Small Point Clouds Matthew Spellings 3DPC 50 12 0 05 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,106 0 27 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
Primal-Dual Mesh Convolutional Neural Networks Francesco Milano Antonio Loquercio Antoni Rosinol Davide Scaramuzza Luca Carlone 3DPC AI4CE 53 89 0 23 Oct 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 220 2,287 0 18 Oct 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 222 14,103 0 02 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016