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Harmonic Networks: Deep Translation and Rotation Equivariance

14 December 2016

Daniel E. Worrall

Stephan J. Garbin

Daniyar Turmukhambetov

Gabriel J. Brostow

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Papers citing "Harmonic Networks: Deep Translation and Rotation Equivariance"

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A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks Roy T. Forestano Marçal Comajoan Cara Gopal Ramesh Dahale Zhongtian Dong S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu GNN 91 8 0 30 Nov 2023
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing Gian Marco Visani William Galvin Michael N. Pun Armita Nourmohammad 65 6 0 15 Nov 2023
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation Lukas Tuggener Thilo Stadelmann Jürgen Schmidhuber OOD 57 1 0 14 Nov 2023
Affine Invariance in Continuous-Domain Convolutional Neural Networks A. Mohaddes Johannes Lederer 92 1 0 13 Nov 2023
H-NeXt: The next step towards roto-translation invariant networks Tomáš Karella F. Šroubek J. Flusser Jan Blazek Vasek Kosik 65 1 0 02 Nov 2023
Latent Field Discovery In Interacting Dynamical Systems With Neural Fields Miltiadis Kofinas Erik J. Bekkers N. S. Nagaraja E. Gavves AI4CE 137 8 0 31 Oct 2023
Learning Layer-wise Equivariances Automatically using Gradients Tycho F. A. van der Ouderaa Alexander Immer Mark van der Wilk MLT 108 14 0 09 Oct 2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 111 3 0 06 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution Rui Wang E. Hofgard Han Gao Robin Walters Tess E. Smidt AI4CE 145 12 0 03 Oct 2023
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication Irene Cannistraci Luca Moschella Marco Fumero Valentino Maiorca Emanuele Rodolà 108 14 0 02 Oct 2023
Modularity in Deep Learning: A Survey Haozhe Sun Isabelle Guyon MoMe 104 3 0 02 Oct 2023
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors Yuanyi Zhong Anand Bhattad Yu-Xiong Wang David Forsyth MDE 64 2 0 28 Sep 2023
Convolutional Networks with Oriented 1D Kernels Alexandre Kirchmeyer Jia Deng 106 5 0 27 Sep 2023
Flow Factorized Representation Learning Yue Song Thomas Anderson Keller N. Sebe Max Welling DRL OOD 130 3 0 22 Sep 2023
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets Lorenzo Brigato Stavroula Mougiakakou 79 5 0 04 Sep 2023
On genuine invariance learning without weight-tying A. Moskalev A. Sepliarskaia Erik J. Bekkers A. Smeulders CML OOD 67 9 0 07 Aug 2023
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks Mingwen Shao Lingzhuang Meng Yuanjian Qiao Lixu Zhang W. Zuo DiffM 96 1 0 24 Jul 2023
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold Pourya Shamsolmoali Masoumeh Zareapoor 81 1 0 24 Jul 2023
Capsule network with shortcut routing Thanh-Vu Dang Hoang-Trong Vo Gwanghyun Yu Jin Young Kim 62 1 0 14 Jul 2023
Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis T. Kuipers Erik J. Bekkers 62 5 0 24 Jun 2023
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations Yidong Liao Brandon M. Wood Abhishek Das Tess E. Smidt 138 159 0 21 Jun 2023
Modularity Trumps Invariance for Compositional Robustness I. Mason Anirban Sarkar Tomotake Sasaki Xavier Boix OOD 91 1 0 15 Jun 2023
$E(2)$ -Equivariant Vision Transformer Renjun Xu Kaifan Yang Ke Liu Fengxiang He ViT MDE 84 11 0 11 Jun 2023
Group Equivariant Fourier Neural Operators for Partial Differential Equations Jacob Helwig Xuan Zhang Cong Fu Jerry Kurtin Stephan Wojtowytsch Shuiwang Ji AI4CE 116 34 0 09 Jun 2023
Subequivariant Graph Reinforcement Learning in 3D Environments Runfa Chen Jiaqi Han Gang Hua Wen-bing Huang OffRL 76 11 0 30 May 2023
Learning Linear Groups in Neural Networks Emmanouil Theodosis Karim Helwani Demba E. Ba AI4CE 58 0 0 29 May 2023
Investigating how ReLU-networks encode symmetries Georg Bökman Fredrik Kahl 67 6 0 26 May 2023
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications Gianfranco Cortés Yue Yu R. Chen Melissa S. Armstrong David E Vaillancourt B. Vemuri 87 1 0 26 May 2023
Sorted Convolutional Network for Achieving Continuous Rotational Invariance Hanlin Mo Guoying Zhao 50 0 0 23 May 2023
Subspace-Configurable Networks Dong Wang O. Saukh Xiaoxi He Lothar Thiele OOD 95 0 0 22 May 2023
Clifford Group Equivariant Neural Networks David Ruhe Johannes Brandstetter Patrick Forré 115 42 0 18 May 2023
An Exploration of Conditioning Methods in Graph Neural Networks Yeskendir Koishekenov Erik J. Bekkers AI4CE 123 3 0 03 May 2023
Learning to Transmit with Provable Guarantees in Wireless Federated Learning Boning Li Jake B. Perazzone A. Swami Santiago Segarra 76 4 0 18 Apr 2023
SO(2) and O(2) Equivariance in Image Recognition with Bessel-Convolutional Neural Networks Valentin Delchevalerie Alexandre Mayer Adrien Bibal Benoit Frénay 44 1 0 18 Apr 2023
Rotation-Scale Equivariant Steerable Filters Yi-Lun Yang S. Dasmahapatra S. Mahmoodi 67 3 0 10 Apr 2023
The G-invariant graph Laplacian E. Rosen Paulina Hoyos Xiuyuan Cheng Joe Kileel Y. Shkolnisky 58 1 0 29 Mar 2023
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction Minghan Zhu Shizong Han H. Cai Shubhankar Borse M. G. Jadidi Fatih Porikli 3DPC 128 15 0 28 Mar 2023
Learning Rotation-Equivariant Features for Visual Correspondence Jongmin Lee Byung-soo Kim Seungwook Kim Minsu Cho SSL 68 27 0 25 Mar 2023
GNN-Assisted Phase Space Integration with Application to Atomistics Shashank Saxena Jan-Hendrik Bastek Miguel Spinola Prateek Gupta D. Kochmann 40 2 0 20 Mar 2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning Chenxin Xu R. Tan Yuhong Tan Siheng Chen Yu Wang Xinchao Wang Yanfeng Wang 102 107 0 20 Mar 2023
Self-Supervised Learning for Group Equivariant Neural Networks Yusuke Mukuta Tatsuya Harada SSL 69 0 0 08 Mar 2023
On the Implicit Bias of Linear Equivariant Steerable Networks Ziyu Chen Wei-wei Zhu 89 3 0 07 Mar 2023
Single-photon Image Super-resolution via Self-supervised Learning Yiwei Chen Chenbo Jiang Yu Pan 63 2 0 03 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath Alexandru Paul Condurache 56 5 0 02 Mar 2023
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution Zikai Sun T. Blu 61 6 0 01 Mar 2023
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey Kunlin Wang Zi Wang Zhang Li Ang Su Xichao Teng Minhao Liu Qifeng Yu Qifeng Yu ObjD 211 9 0 21 Feb 2023
Random Padding Data Augmentation Nan Yang Laicheng Zhong Fan Huang Dong Yuan Wei Bao 45 2 0 17 Feb 2023
Lorentz Equivariant Model for Knowledge-Enhanced Hyperbolic Collaborative Filtering Bosong Huang Weihao Yu Ruzhong Xie Jing Xiao Jin Huang 82 0 0 09 Feb 2023
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs Saro Passaro C. L. Zitnick 3DPC 111 93 0 07 Feb 2023
CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning Xia Xu Jochen Triesch SSL 58 2 0 05 Feb 2023