v1v2v3 (latest)

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
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 91 24 0 11 Jun 2021
Encoding Involutory Invariances in Neural Networks Anwesh Bhattacharya M. Mattheakis P. Protopapas 93 1 0 07 Jun 2021
VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds Monami Banerjee Rudrasis Chakraborty Jose J. Bouza B. Vemuri 52 11 0 05 Jun 2021
DISCO: accurate Discrete Scale Convolutions Ivan Sosnovik A. Moskalev A. Smeulders 79 32 0 04 Jun 2021
Provably Strict Generalisation Benefit for Invariance in Kernel Methods Bryn Elesedy 88 27 0 04 Jun 2021
Mesh-based graph convolutional neural networks for modeling materials with microstructure A. Frankel Cosmin Safta Coleman Alleman Reese E. Jones 74 15 0 04 Jun 2021
Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators Anindita Maiti Keegan Stoner James Halverson 75 20 0 01 Jun 2021
Geometric Deep Learning and Equivariant Neural Networks Jan E. Gerken J. Aronsson Oscar Carlsson Hampus Linander F. Ohlsson Christoffer Petersson Daniel Persson MLT 139 72 0 28 May 2021
Homogeneous vector bundles and $G$ -equivariant convolutional neural networks J. Aronsson 76 24 0 12 May 2021
Skip-Convolutions for Efficient Video Processing A. Habibian Davide Abati Taco S. Cohen B. Bejnordi 113 50 0 23 Apr 2021
Deep Permutation Equivariant Structure from Motion Dror Moran Hodaya Koslowsky Yoni Kasten Haggai Maron Meirav Galun Ronen Basri 3DPC 72 18 0 14 Apr 2021
Autoequivariant Network Search via Group Decomposition Sourya Basu A. Magesh Harshit Yadav Lav Varshney 71 6 0 10 Apr 2021
Autobahn: Automorphism-based Graph Neural Nets Erik H. Thiede Wenda Zhou Risi Kondor GNN AI4CE 132 48 0 02 Mar 2021
Provably Strict Generalisation Benefit for Equivariant Models Bryn Elesedy Sheheryar Zaidi AI4CE 96 88 0 20 Feb 2021
Group Equivariant Conditional Neural Processes M. Kawano Wataru Kumagai Akiyoshi Sannai Yusuke Iwasawa Y. Matsuo BDL 101 20 0 17 Feb 2021
Rotation-Equivariant Deep Learning for Diffusion MRI Philip Muller Vladimir Golkov V. Tomassini Daniel Cremers DiffM MedIm 72 28 0 13 Feb 2021
Equivariant message passing for the prediction of tensorial properties and molecular spectra Kristof T. Schütt Oliver T. Unke M. Gastegger 114 545 0 05 Feb 2021
Universal Approximation Theorem for Equivariant Maps by Group CNNs Wataru Kumagai Akiyoshi Sannai 88 14 0 27 Dec 2020
Knowledge as Invariance -- History and Perspectives of Knowledge-augmented Machine Learning A. Sagel Amit Sahu Stefan Matthes H. Pfeifer Tianming Qiu Harald Ruess Hao Shen Julian Wormann 53 3 0 21 Dec 2020
LieTransformer: Equivariant self-attention for Lie Groups M. Hutchinson Charline Le Lan Sheheryar Zaidi Emilien Dupont Yee Whye Teh Hyunjik Kim 126 111 0 20 Dec 2020
Flow-based Generative Models for Learning Manifold to Manifold Mappings Xingjian Zhen Rudrasis Chakraborty Liu Yang Vikas Singh DRL MedIm 140 9 0 18 Dec 2020
Data-driven rogue waves and parameter discovery in the defocusing NLS equation with a potential using the PINN deep learning Li Wang Zhenya Yan 84 85 0 18 Dec 2020
Rotation-Invariant Autoencoders for Signals on Spheres Suhas Lohit Shubhendu Trivedi MDE 59 5 0 08 Dec 2020
Learning Equivariant Representations Carlos Esteves BDL 61 0 0 04 Dec 2020
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes P. Holderrieth M. Hutchinson Yee Whye Teh BDL 110 30 0 25 Nov 2020
Symmetry-Aware Actor-Critic for 3D Molecular Design G. Simm Robert Pinsler Gábor Csányi José Miguel Hernández-Lobato AI4CE 84 65 0 25 Nov 2020
A contribution to Optimal Transport on incomparable spaces Titouan Vayer OT 73 20 0 09 Nov 2020
Trajectory Prediction using Equivariant Continuous Convolution Robin Walters Jinxi Li Rose Yu 82 44 0 21 Oct 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels Leon Lang Maurice Weiler 104 56 0 21 Oct 2020
Efficient Generalized Spherical CNNs Oliver Cobb C. Wallis Augustine N. Mavor-Parker Augustin Marignier Matthew Alexander Price Mayeul dÁvezac Jason D. McEwen 87 35 0 09 Oct 2020
Simplicial Neural Networks Stefania Ebli M. Defferrard Gard Spreemann GNN 93 131 0 07 Oct 2020
Group Equivariant Stand-Alone Self-Attention For Vision David W. Romero Jean-Baptiste Cordonnier MDE 161 60 0 02 Oct 2020
Deep Autoencoders: From Understanding to Generalization Guarantees Romain Cosentino Randall Balestriero Richard Baraniuk B. Aazhang 47 6 0 20 Sep 2020
Learning a Lie Algebra from Unlabeled Data Pairs Christopher Ick Vincent Lostanlen DRL 27 2 0 19 Sep 2020
Computational Analysis of Deformable Manifolds: from Geometric Modelling to Deep Learning Stefan C. Schonsheck 35 0 0 03 Sep 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning Pan Li Yanbang Wang Hongwei Wang J. Leskovec GNN 101 12 0 31 Aug 2020
On the finite representation of group equivariant operators via permutant measures Giovanni Bocchi S. Botteghi Martina Brasini Patrizio Frosini Nicola Quercioli 32 9 0 07 Aug 2020
Scale Equivariance Improves Siamese Tracking Ivan Sosnovik A. Moskalev A. Smeulders 50 79 0 17 Jul 2020
Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures Daniel Furrer Marc van Zee Nathan Scales Nathanael Scharli CoGe 97 114 0 17 Jul 2020
Group Invariant Dictionary Learning Yong Sheng Soh 58 9 0 15 Jul 2020
Meta-Learning Symmetries by Reparameterization Allan Zhou Tom Knowles Chelsea Finn OOD 91 96 0 06 Jul 2020
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes Andrew Y. K. Foong W. Bruinsma Jonathan Gordon Yann Dubois James Requeima Richard Turner BDL 93 78 0 02 Jul 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath Alexandru Paul Condurache ViT AI4CE 114 9 0 30 Jun 2020
Distribution-Based Invariant Deep Networks for Learning Meta-Features Gwendoline de Bie Herilalaina Rakotoarison Gabriel Peyré Michèle Sebag OOD 97 1 0 24 Jun 2020
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 100 70 0 18 Jun 2020
Lorentz Group Equivariant Neural Network for Particle Physics A. Bogatskiy Brandon M. Anderson Jan T. Offermann M. Roussi David W. Miller Risi Kondor AI4CE 72 141 0 08 Jun 2020
On Universalized Adversarial and Invariant Perturbations Sandesh Kamath Amit Deshpande K. Subrahmanyam AAML 29 0 0 08 Jun 2020
Equivariant Maps for Hierarchical Structures Renhao Wang Marjan Albooyeh Siamak Ravanbakhsh 3DPC 68 14 0 05 Jun 2020
Structure preserving deep learning E. Celledoni Matthias Joachim Ehrhardt Christian Etmann R. McLachlan B. Owren Carola-Bibiane Schönlieb Ferdia Sherry AI4CE 119 44 0 05 Jun 2020
Prediction and Generalisation over Directed Actions by Grid Cells Changmin Yu Timothy Edward John Behrens Neil Burgess 16 2 0 05 Jun 2020