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 / 320 papers shown

Title
Geometric Deep Learning and Equivariant Neural Networks Jan E. Gerken J. Aronsson Oscar Carlsson H. Linander F. Ohlsson Christoffer Petersson Daniel Persson MLT 13 66 0 28 May 2021
Homogeneous vector bundles and $G$ -equivariant convolutional neural networks J. Aronsson 21 24 0 12 May 2021
Skip-Convolutions for Efficient Video Processing A. Habibian Davide Abati Taco S. Cohen B. Bejnordi 52 50 0 23 Apr 2021
Deep Permutation Equivariant Structure from Motion Dror Moran Hodaya Koslowsky Yoni Kasten Haggai Maron Meirav Galun Ronen Basri 3DPC 20 17 0 14 Apr 2021
Autoequivariant Network Search via Group Decomposition Sourya Basu A. Magesh Harshit Yadav L. Varshney 24 6 0 10 Apr 2021
Autobahn: Automorphism-based Graph Neural Nets Erik H. Thiede Wenda Zhou Risi Kondor GNN AI4CE 20 48 0 02 Mar 2021
Provably Strict Generalisation Benefit for Equivariant Models Bryn Elesedy Sheheryar Zaidi AI4CE 14 83 0 20 Feb 2021
Group Equivariant Conditional Neural Processes M. Kawano Wataru Kumagai Akiyoshi Sannai Yusuke Iwasawa Y. Matsuo BDL 45 20 0 17 Feb 2021
Rotation-Equivariant Deep Learning for Diffusion MRI Philip Muller Vladimir Golkov V. Tomassini Daniel Cremers DiffM MedIm 17 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 25 511 0 05 Feb 2021
Universal Approximation Theorem for Equivariant Maps by Group CNNs Wataru Kumagai Akiyoshi Sannai 51 13 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 11 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 12 111 0 20 Dec 2020
Flow-based Generative Models for Learning Manifold to Manifold Mappings Xingjian Zhen Rudrasis Chakraborty Liu Yang Vikas Singh DRL MedIm 21 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 14 80 0 18 Dec 2020
Rotation-Invariant Autoencoders for Signals on Spheres Suhas Lohit Shubhendu Trivedi MDE 22 5 0 08 Dec 2020
Learning Equivariant Representations Carlos Esteves BDL 22 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 22 30 0 25 Nov 2020
Symmetry-Aware Actor-Critic for 3D Molecular Design G. Simm Robert Pinsler Gábor Csányi José Miguel Hernández-Lobato AI4CE 23 64 0 25 Nov 2020
A contribution to Optimal Transport on incomparable spaces Titouan Vayer OT 22 19 0 09 Nov 2020
Trajectory Prediction using Equivariant Continuous Convolution Robin G. Walters Jinxi Li Rose Yu 21 43 0 21 Oct 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels Leon Lang Maurice Weiler 27 53 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 21 33 0 09 Oct 2020
Simplicial Neural Networks Stefania Ebli M. Defferrard Gard Spreemann GNN 14 124 0 07 Oct 2020
Group Equivariant Stand-Alone Self-Attention For Vision David W. Romero Jean-Baptiste Cordonnier MDE 18 57 0 02 Oct 2020
Deep Autoencoders: From Understanding to Generalization Guarantees Romain Cosentino Randall Balestriero Richard Baraniuk B. Aazhang 9 5 0 20 Sep 2020
Learning a Lie Algebra from Unlabeled Data Pairs Christopher Ick Vincent Lostanlen DRL 8 2 0 19 Sep 2020
Computational Analysis of Deformable Manifolds: from Geometric Modelling to Deep Learning Stefan C. Schonsheck 8 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 20 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 8 9 0 07 Aug 2020
Scale Equivariance Improves Siamese Tracking Ivan Sosnovik A. Moskalev A. Smeulders 4 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 8 113 0 17 Jul 2020
Group Invariant Dictionary Learning Yong Sheng Soh 9 8 0 15 Jul 2020
Meta-Learning Symmetries by Reparameterization Allan Zhou Tom Knowles Chelsea Finn OOD 24 90 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 E. Turner BDL 11 77 0 02 Jul 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath A. P. Condurache ViT AI4CE 27 9 0 30 Jun 2020
Distribution-Based Invariant Deep Networks for Learning Meta-Features Gwendoline de Bie Herilalaina Rakotoarison Gabriel Peyré Michèle Sebag OOD 13 1 0 24 Jun 2020
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 19 68 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 13 136 0 08 Jun 2020
On Universalized Adversarial and Invariant Perturbations Sandesh Kamath Amit Deshpande K. Subrahmanyam AAML 11 0 0 08 Jun 2020
Equivariant Maps for Hierarchical Structures Renhao Wang Marjan Albooyeh Siamak Ravanbakhsh 3DPC 11 13 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 13 43 0 05 Jun 2020
Prediction and Generalisation over Directed Actions by Grid Cells Changmin Yu Timothy Edward John Behrens Neil Burgess 6 2 0 05 Jun 2020
On the Benefits of Invariance in Neural Networks Clare Lyle Mark van der Wilk Marta Z. Kwiatkowska Y. Gal Benjamin Bloem-Reddy OOD BDL 17 91 0 01 May 2020
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis Valentin Oreiller Vincent Andrearczyk Julien Fageot John O. Prior A. Depeursinge 6 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 24 18 0 21 Apr 2020
Theoretical Aspects of Group Equivariant Neural Networks Carlos Esteves 19 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 19 35 0 08 Apr 2020
ManifoldNorm: Extending normalizations on Riemannian Manifolds Rudrasis Chakraborty 16 10 0 30 Mar 2020
Local Rotation Invariance in 3D CNNs Vincent Andrearczyk Julien Fageot Valentin Oreiller X. Montet A. Depeursinge 32 23 0 19 Mar 2020