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On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups

11 February 2018

Papers citing "On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups"

50 / 326 papers shown

Title
On the Benefits of Invariance in Neural Networks Clare Lyle Mark van der Wilk Marta Z. Kwiatkowska Y. Gal Benjamin Bloem-Reddy OOD BDL 84 96 0 01 May 2020
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis Valentin Oreiller Vincent Andrearczyk Julien Fageot John O. Prior Adrien Depeursinge 22 1 0 28 Apr 2020
A Data and Compute Efficient Design for Limited-Resources Deep Learning Mirgahney Mohamed Gabriele Cesa Taco S. Cohen Max Welling MedIm 93 18 0 21 Apr 2020
Theoretical Aspects of Group Equivariant Neural Networks Carlos Esteves 66 41 0 10 Apr 2020
The general theory of permutation equivarant neural networks and higher order graph variational encoders Erik H. Thiede Truong-Son Hy Risi Kondor 63 35 0 08 Apr 2020
ManifoldNorm: Extending normalizations on Riemannian Manifolds Rudrasis Chakraborty 25 11 0 30 Mar 2020
Local Rotation Invariance in 3D CNNs Vincent Andrearczyk Julien Fageot Valentin Oreiller X. Montet Adrien Depeursinge 79 23 0 19 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 336 237 0 16 Mar 2020
MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications Jose J. Bouza Chun-Hao Yang David E Vaillancourt B. Vemuri 48 4 0 02 Mar 2020
Do CNNs Encode Data Augmentations? Eddie Q. Yan Yanping Huang OOD 55 5 0 29 Feb 2020
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks Sandesh Kamath Amit Deshpande Subrahmanyam Kambhampati Venkata V. Balasubramanian 88 12 0 26 Feb 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 136 324 0 25 Feb 2020
Set2Graph: Learning Graphs From Sets Hadar Serviansky Nimrod Segol Jonathan Shlomi Kyle Cranmer Eilam Gross Haggai Maron Y. Lipman PINN GNN 138 35 0 20 Feb 2020
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis Maxime W. Lafarge Erik J. Bekkers J. Pluim R. Duits M. Veta MedIm 152 75 0 20 Feb 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 83 137 0 20 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 145 177 0 08 Feb 2020
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 162 51 0 07 Feb 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 109 91 0 07 Feb 2020
PDE-based Group Equivariant Convolutional Neural Networks B. Smets J. Portegies Erik J. Bekkers R. Duits AI4CE 102 54 0 24 Jan 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas Guibas Federico Tombari 3DPC 144 89 0 27 Dec 2019
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 126 526 0 19 Nov 2019
Affine Self Convolution Nichita Diaconu Daniel E. Worrall 35 3 0 18 Nov 2019
Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids Nikhil Muralidhar Jie Bu Z. Cao Longting He Naren Ramakrishnan D. Tafti Anuj Karpatne DiffM PINN AI4CE 37 14 0 06 Nov 2019
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods Luca Della Libera Vladimir Golkov Yue Zhu Arman Mielke Daniel Cremers 3DH 3DPC 95 4 0 31 Oct 2019
Convolutional Conditional Neural Processes Jonathan Gordon W. Bruinsma Andrew Y. K. Foong James Requeima Yann Dubois Richard Turner BDL 90 168 0 29 Oct 2019
SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold Rudrasis Chakraborty Yifei Xing Stella X. Yu 59 8 0 18 Oct 2019
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 127 149 0 14 Oct 2019
A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks Takanori Maehara Hoang NT 133 29 0 09 Oct 2019
Dilated Convolutional Neural Networks for Sequential Manifold-valued Data Xingjian Zhen Rudrasis Chakraborty Nicholas M. Vogt B. Bendlin Vikas Singh MedIm 62 36 0 05 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 85 27 0 01 Oct 2019
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 99 131 0 26 Sep 2019
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning Stefan Sommer A. Bronstein 72 11 0 13 Sep 2019
Deep Learning for Automated Classification and Characterization of Amorphous Materials K. Swanson Shubhendu Trivedi Joshua Lequieu Kyle Swanson Risi Kondor 49 38 0 10 Sep 2019
A Group-Theoretic Framework for Data Augmentation Shuxiao Chen Edgar Dobriban Jane Lee FedML 80 38 0 25 Jul 2019
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels A. Poulenard Marie-Julie Rakotosaona Yann Ponty M. Ovsjanikov 3DPC 93 104 0 27 Jun 2019
SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning Rudrasis Chakraborty Jiayun Wang Stella X. Yu 40 15 0 24 Jun 2019
Cormorant: Covariant Molecular Neural Networks Brandon M. Anderson Truong-Son Hy Risi Kondor 139 426 0 06 Jun 2019
$Unsupervised Co-Learning on $\mathcal{G}$-Manifolds Across Irreducible Representations$ Unsupervised Co-Learning on $\mathcal{G}$ -Manifolds Across Irreducible Representations Yifeng Fan Tingran Gao Zhizhen Zhao 39 5 0 06 Jun 2019
Covariance in Physics and Convolutional Neural Networks Miranda C. N. Cheng V. Anagiannis Maurice Weiler P. D. Haan Taco S. Cohen Max Welling 111 18 0 06 Jun 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 80 19 0 29 May 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 76 167 0 28 May 2019
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification Kenta Oono Taiji Suzuki GNN 100 29 0 27 May 2019
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds Michael Perlmutter Feng Gao Guy Wolf M. Hirn 70 14 0 24 May 2019
Universal Invariant and Equivariant Graph Neural Networks Nicolas Keriven Gabriel Peyré 210 294 0 13 May 2019
Learning to Convolve: A Generalized Weight-Tying Approach Nichita Diaconu Daniel E. Worrall MLT 66 20 0 12 May 2019
Temporal-Clustering Invariance in Irregular Healthcare Time Series M. T. Bahadori Zachary Chase Lipton AI4TS 74 30 0 27 Apr 2019
DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation Q. Liu Xiaopeng Hong Wei Ke Zailiang Chen Beiji Zou 43 5 0 18 Apr 2019
DeepSphere: towards an equivariant graph-based spherical CNN M. Defferrard Nathanael Perraudin T. Kacprzak R. Sgier GNN 86 24 0 08 Apr 2019
Equivariant Multi-View Networks Carlos Esteves Yinshuang Xu Christine Allen-Blanchette Kostas Daniilidis 3DPC 77 98 0 01 Apr 2019
Discrete Rotation Equivariance for Point Cloud Recognition Jiaxin Li Yingcai Bi Gim Hee Lee 3DPC 89 24 0 31 Mar 2019