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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Title
Sample Efficiency of Data Augmentation Consistency Regularization Shuo Yang Yijun Dong Rachel A. Ward Inderjit S. Dhillon Sujay Sanghavi Qi Lei AAML 31 17 0 24 Feb 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks Y. Yasuda R. Onishi 25 6 0 22 Feb 2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations Alexander Immer Tycho F. A. van der Ouderaa Gunnar Rätsch Vincent Fortuin Mark van der Wilk BDL 39 44 0 22 Feb 2022
Unsupervised Learning of Group Invariant and Equivariant Representations R. Winter Marco Bertolini Tuan Le Frank Noé Djork-Arné Clevert 28 41 0 15 Feb 2022
A Theory of PAC Learnability under Transformation Invariances Hang Shao Omar Montasser Avrim Blum 24 18 0 15 Feb 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts Weixin Liang James Zou OOD 40 82 0 14 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath A. P. Condurache 25 8 0 08 Feb 2022
BAM: Bayes with Adaptive Memory Josue Nassar Jennifer Brennan Ben Evans Kendall Lowrey CLL KELM 12 1 0 04 Feb 2022
GENEOnet: A new machine learning paradigm based on Group Equivariant Non-Expansive Operators. An application to protein pocket detection Giovanni Bocchi Patrizio Frosini Alessandra Micheletti A. Pedretti Carmen Gratteri Filippo Lunghini A. Beccari Carmine Talarico 9 7 0 31 Jan 2022
Möbius Convolutions for Spherical CNNs Thomas W. Mitchel Noam Aigerman Vladimir G. Kim Michael Kazhdan 25 11 0 28 Jan 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin Walters Rose Yu 38 75 0 28 Jan 2022
OneDConv: Generalized Convolution For Transform-Invariant Representation Tong Zhang Haohan Weng Ke Yi Chong Chen 24 0 0 15 Jan 2022
Time-Equivariant Contrastive Video Representation Learning Simon Jenni Hailin Jin SSL AI4TS 143 60 0 07 Dec 2021
Frame Averaging for Equivariant Shape Space Learning Matan Atzmon Koki Nagano Sanja Fidler S. Khamis Y. Lipman FedML 36 13 0 03 Dec 2021
Residual Pathway Priors for Soft Equivariance Constraints Marc Finzi Gregory W. Benton A. Wilson BDL UQCV 24 51 0 02 Dec 2021
Co-domain Symmetry for Complex-Valued Deep Learning Utkarsh Singhal Yifei Xing Stella X. Yu 33 12 0 02 Dec 2021
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds Georg Bökman Fredrik Kahl Axel Flinth 3DPC 26 19 0 30 Nov 2021
Implicit Equivariance in Convolutional Networks Naman Khetan Tushar Arora S. U. Rehman D. K. Gupta 31 4 0 28 Nov 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 25 8 0 22 Nov 2021
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 30 0 0 18 Nov 2021
$Frequency learning for structured CNN filters with Gaussian fractional derivatives$ Frequency learning for structured CNN filters with Gaussian fractional derivatives Nikhil Saldanha S. Pintea Jan van Gemert Nergis Tomen 30 8 0 12 Nov 2021
Self-Interpretable Model with TransformationEquivariant Interpretation Yipei Wang Xiaoqian Wang 38 23 0 09 Nov 2021
Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images Guo-Ye Yang Xiang-Li Li Ralph Robert Martin Shimin Hu 3DPC 21 13 0 05 Nov 2021
Equivariant Deep Dynamical Model for Motion Prediction Bahar Azari Deniz Erdoğmuş 25 1 0 02 Nov 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems Miltiadis Kofinas N. S. Nagaraja E. Gavves AI4CE 19 32 0 28 Oct 2021
SE(3) Equivariant Graph Neural Networks with Complete Local Frames Weitao Du He Zhang Yuanqi Du Qi Meng Wei Chen Bin Shao Tie-Yan Liu 56 79 0 26 Oct 2021
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups David M. Knigge David W. Romero Erik J. Bekkers 24 30 0 25 Oct 2021
Learning Partial Equivariances from Data David W. Romero Suhas Lohit 23 28 0 19 Oct 2021
Augmenting Imitation Experience via Equivariant Representations Dhruv Sharma Ali Kuwajerwala Florian Shkurti 19 2 0 14 Oct 2021
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? M. Farrell Blake Bordelon Shubhendu Trivedi Cengiz Pehlevan 18 5 0 14 Oct 2021
Multi-Agent MDP Homomorphic Networks Elise van der Pol H. V. Hoof F. Oliehoek Max Welling AI4CE 46 28 0 09 Oct 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing Johannes Brandstetter Rob D. Hesselink Elise van der Pol Erik J. Bekkers Max Welling 17 229 0 06 Oct 2021
Quantum algorithms for group convolution, cross-correlation, and equivariant transformations Grecia Castelazo Quynh T. Nguyen Giacomo De Palma Dirk Englund S. Lloyd B. Kiani 40 11 0 23 Sep 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 78 81 0 15 Sep 2021
A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification Eduardo Ulises Moya-Sánchez S. Xambó-Descamps Abraham Sánchez Pérez Sebastián Salazar-Colores Ulises Cortés 27 6 0 14 Sep 2021
Nonlinearities in Steerable SO(2)-Equivariant CNNs Daniel Franzen Michael Wand 38 3 0 14 Sep 2021
Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation Xiao Gu Jianxin Yang Hanxiao Zhang Jianing Qiu Frank P.-W. Lo Yao Guo Guang-Zhong Yang Benny Lo 3DH 14 3 0 03 Sep 2021
Topographic VAEs learn Equivariant Capsules Thomas Anderson Keller Max Welling BDL 44 38 0 03 Sep 2021
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors Haiping Wang Yuan Liu Zhen Dong Wenping Wang 3DPC 32 124 0 01 Sep 2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods Tobias Alt Karl Schrader Joachim Weickert Pascal Peter M. Augustin 22 4 0 31 Aug 2021
Convolutional Filtering and Neural Networks with Non Commutative Algebras Alejandro Parada-Mayorga Landon Butler Alejandro Ribeiro 27 10 0 23 Aug 2021
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency S. Golestaneh Saba Dadsetan Kris Kitani ViT 19 241 0 16 Aug 2021
Towards Understanding Theoretical Advantages of Complex-Reaction Networks Shao-Qun Zhang Gaoxin Wei Zhi-Hua Zhou 23 17 0 15 Aug 2021
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions Qi Xie Qian Zhao Zongben Xu Deyu Meng 27 19 0 30 Jul 2021
Circular-Symmetric Correlation Layer based on FFT Bahar Azari Deniz Erdogmus 36 1 0 26 Jul 2021
6DCNN with roto-translational convolution filters for volumetric data processing Dmitrii Zhemchuzhnikov Ilia Igashov Sergei Grudinin 3DPC 27 2 0 26 Jul 2021
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning Chandrajit L. Bajaj A. Roy Haoran Zhang BDL DRL 26 1 0 25 Jul 2021
Geometric Data Augmentation Based on Feature Map Ensemble Takashi Shibata Masayuki Tanaka Masatoshi Okutomi 27 0 0 22 Jul 2021
Parametric Scattering Networks Shanel Gauthier Benjamin Thérien Laurent Alsene-Racicot Muawiz Chaudhary Irina Rish Eugene Belilovsky Michael Eickenberg Guy Wolf 24 16 0 20 Jul 2021
PICASO: Permutation-Invariant Cascaded Attentional Set Operator Samira Zare H. Nguyen 16 5 0 17 Jul 2021