Group Equivariant Convolutional Networks

24 February 2016

Papers citing "Group Equivariant Convolutional Networks"

50 / 392 papers shown

Title
RotEqNet: Rotation-Equivariant Network for Fluid Systems with Symmetric High-Order Tensors Liyao (Mars) Gao Yifan Du Hongshan Li Guang Lin 27 12 0 28 Apr 2020
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space Yingyi Ma Vignesh Ganapathiraman Yaoliang Yu Xinhua Zhang 16 1 0 25 Apr 2020
Theoretical Aspects of Group Equivariant Neural Networks Carlos Esteves 21 41 0 10 Apr 2020
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images S. Graham David B. A. Epstein Nasir M. Rajpoot 18 87 0 06 Apr 2020
Detecting Symmetries with Neural Networks Sven Krippendorf Marc Syvaeri 21 61 0 30 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 38 120 0 26 Mar 2020
Local Rotation Invariance in 3D CNNs Vincent Andrearczyk Julien Fageot Valentin Oreiller X. Montet A. Depeursinge 34 23 0 19 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 Mar 2020
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
Ternary Compression for Communication-Efficient Federated Learning Jinjin Xu W. Du Ran Cheng Wangli He Yaochu Jin MQ FedML 34 174 0 07 Mar 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 49 846 0 06 Mar 2020
Do CNNs Encode Data Augmentations? Eddie Q. Yan Yanping Huang OOD 13 5 0 29 Feb 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 17 316 0 25 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 19 74 0 20 Feb 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 30 132 0 20 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin G. Walters Rose Yu AI4CE 46 167 0 08 Feb 2020
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 98 48 0 07 Feb 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 22 89 0 07 Feb 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas J. Guibas Federico Tombari 3DPC 26 88 0 27 Dec 2019
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework Tobias Schlosser Michael Friedrich Danny Kowerko 14 15 0 25 Nov 2019
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data David W. Romero Mark Hoogendoorn 19 24 0 18 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 22 4 0 31 Oct 2019
Convolutional Conditional Neural Processes Jonathan Gordon W. Bruinsma Andrew Y. K. Foong James Requeima Yann Dubois Richard E. Turner BDL 19 162 0 29 Oct 2019
Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands H. Pinckaers G. Litjens SSeg MedIm 14 36 0 23 Oct 2019
A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks Takanori Maehara Hoang NT 19 29 0 09 Oct 2019
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation Hang Gao Xizhou Zhu Steve Lin Jifeng Dai 13 64 0 07 Oct 2019
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate Lu Mi Hao Wang Yonglong Tian Hao He Nir Shavit UQCV 21 29 0 28 Sep 2019
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 24 129 0 26 Sep 2019
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning Stefan Sommer A. Bronstein 23 11 0 13 Sep 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 16 750 0 27 Aug 2019
Unsupervised Learning Framework of Interest Point Via Properties Optimization Pei Yan Yihua Tan Yuan Xiao Yuan Tai Caizhen Wen 20 2 0 26 Jul 2019
Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning Peter Y. Lu Samuel Kim Marin Soljacic AI4CE 16 59 0 13 Jul 2019
SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning Rudrasis Chakraborty Jiayun Wang Stella X. Yu 16 15 0 24 Jun 2019
Cormorant: Covariant Molecular Neural Networks Brandon M. Anderson Truong Son-Hy Risi Kondor 19 421 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 45 18 0 06 Jun 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 27 19 0 29 May 2019
DeepSphere: towards an equivariant graph-based spherical CNN M. Defferrard Nathanael Perraudin T. Kacprzak R. Sgier GNN 23 24 0 08 Apr 2019
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data A. Kofler M. Dewey T. Schaeffter Christian Wald C. Kolbitsch 3DPC 24 74 0 01 Apr 2019
Discrete Rotation Equivariance for Point Cloud Recognition Jiaxin Li Yingcai Bi Gim Hee Lee 3DPC 19 24 0 31 Mar 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 34 626 0 29 Mar 2019
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations Guo-Jun Qi Liheng Zhang Chang Wen Chen Qi Tian DRL 19 42 0 23 Mar 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 27 256 0 06 Mar 2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era Yu-Hu Li Chao Huang Lizhong Ding Zhongxiao Li Yijie Pan Xin Gao AI4CE 21 295 0 28 Feb 2019
Adversarial Attack and Defense on Point Sets Jiancheng Yang Qiang Zhang Rongyao Fang Bingbing Ni Jinxian Liu Qi Tian 3DPC 24 122 0 28 Feb 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 40 402 0 11 Feb 2019
OrthographicNet: A Deep Transfer Learning Approach for 3D Object Recognition in Open-Ended Domains H. Kasaei 10 28 0 08 Feb 2019
Equivariant Transformer Networks Kai Sheng Tai Peter Bailis Gregory Valiant ViT 17 68 0 25 Jan 2019
Multi-Dimensional Scaling on Groups Mark Blumstein Henry Kvinge 14 3 0 08 Dec 2018
Quantizing Euclidean motions via double-coset decomposition C. Wülker Gregory S. Chirikjian 15 9 0 28 Nov 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018