Efficient Model-Agnostic Multi-Group Equivariant Networks

14 October 2023

Papers citing "Efficient Model-Agnostic Multi-Group Equivariant Networks"

19 / 19 papers shown

Title
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance Jinwoo Kim Tien Dat Nguyen Ayhan Suleymanzade Hyeokjun An Seunghoon Hong 64 23 0 05 Jun 2023
FAENet: Frame Averaging Equivariant GNN for Materials Modeling Alexandre Duval Victor Schmidt A. Garcia Santiago Miret Fragkiskos D. Malliaros Yoshua Bengio David Rolnick 67 60 0 28 Apr 2023
Generative Adversarial Symmetry Discovery Jianke Yang Robin Walters Nima Dehmamy Rose Yu GAN 74 28 0 01 Feb 2023
Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality Yichen Jiang Xiang Zhou Joey Tianyi Zhou 44 10 0 28 Nov 2022
Lexicon Learning for Few-Shot Neural Sequence Modeling Ekin Akyürek Jacob Andreas 70 33 0 07 Jun 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas Guibas 3DPC 170 324 0 25 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 136 194 0 19 Apr 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 83 1,015 0 19 Feb 2021
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 129 689 0 18 Jun 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 134 130 0 11 Mar 2020
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 89 522 0 19 Nov 2019
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 271 641 0 03 Sep 2019
Good-Enough Compositional Data Augmentation Jacob Andreas 61 234 0 21 Apr 2019
Linguistic generalization and compositionality in modern artificial neural networks Marco Baroni AI4CE 70 149 0 30 Mar 2019
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 101 212 0 26 Apr 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 82 966 0 22 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 107 498 0 11 Feb 2018
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 466 7,431 0 04 Apr 2017
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 419 43,234 0 11 Feb 2015