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
Implicit Convolutional Kernels for Steerable CNNs Maksim Zhdanov Nico Hoffmann Gabriele Cesa 26 5 0 12 Dec 2022
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution A. Poulenard M. Ovsjanikov Leonidas J. Guibas 3DPC 30 2 0 29 Nov 2022
Scalar Invariant Networks with Zero Bias Chuqin Geng Xiaojie Xu Haolin Ye X. Si 16 1 0 15 Nov 2022
Equivariant Networks for Crystal Structures Sekouba Kaba Siamak Ravanbakhsh AI4CE 42 23 0 15 Nov 2022
Unifying O(3) Equivariant Neural Networks Design with Tensor-Network Formalism Zimu Li Zihan Pengmei Han Zheng Erik H. Thiede Junyu Liu Risi Kondor 27 2 0 14 Nov 2022
Grassmann Manifold Flows for Stable Shape Generation Ryoma Yataka Kazuki Hirashima Masashi Shiraishi 19 1 0 05 Nov 2022
Text2Model: Text-based Model Induction for Zero-shot Image Classification Ohad Amosy Tomer Volk Eilam Shapira Eyal Ben-David Roi Reichart Gal Chechik VLM 24 0 0 27 Oct 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi Gabriele Cesa Taco S. Cohen 48 17 0 24 Oct 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 27 84 0 18 Oct 2022
A tradeoff between universality of equivariant models and learnability of symmetries Vasco Portilheiro 25 2 0 17 Oct 2022
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 27 88 0 16 Oct 2022
Representation Theory for Geometric Quantum Machine Learning Michael Ragone Paolo Braccia Quynh T. Nguyen Louis Schatzki Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo AI4CE 26 73 0 14 Oct 2022
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models Sourya Basu P. Sattigeri K. Ramamurthy Vijil Chenthamarakshan Kush R. Varshney L. Varshney Payel Das 8 18 0 13 Oct 2022
Equivariance-aware Architectural Optimization of Neural Networks Kaitlin Maile Dennis G. Wilson Patrick Forré AI4CE 39 9 0 11 Oct 2022
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? Henry Kvinge Tegan H. Emerson Grayson Jorgenson Scott Vasquez T. Doster Jesse D. Lew 43 8 0 07 Oct 2022
Coarse-to-Fine Point Cloud Registration with SE(3)-Equivariant Representations Chengxuan Lin Tung-I Chen Hsin-Ying Lee Wen-Chin Chen Winston H. Hsu 3DPC 15 11 0 05 Oct 2022
How deep convolutional neural networks lose spatial information with training Umberto M. Tomasini Leonardo Petrini Francesco Cagnetta M. Wyart 41 9 0 04 Oct 2022
Analysis of (sub-)Riemannian PDE-G-CNNs Gijs Bellaard Daan Bon Gautam Pai B. Smets R. Duits AI4CE 28 12 0 03 Oct 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 23 10 0 29 Sep 2022
In Search of Projectively Equivariant Networks Georg Bökman Axel Flinth Fredrik Kahl 37 0 0 29 Sep 2022
Equivariant Transduction through Invariant Alignment Jennifer C. White Ryan Cotterell 14 4 0 22 Sep 2022
Clifford Neural Layers for PDE Modeling Johannes Brandstetter Rianne van den Berg Max Welling Jayesh K. Gupta AI4CE 60 80 0 08 Sep 2022
A Feedforward Unitary Equivariant Neural Network P. Ma Terence Chan 23 4 0 25 Aug 2022
What Can Be Learnt With Wide Convolutional Neural Networks? Francesco Cagnetta Alessandro Favero M. Wyart MLT 35 11 0 01 Aug 2022
Quiver neural networks I. Ganev Robin G. Walters 34 4 0 26 Jul 2022
Homomorphism Autoencoder -- Learning Group Structured Representations from Observed Transitions Hamza Keurti Hsiao-Ru Pan M. Besserve Benjamin Grewe Bernhard Schölkopf AI4CE 27 13 0 25 Jul 2022
On Non-Linear operators for Geometric Deep Learning G. Sergeant-Perthuis Jakob Maier Joan Bruna Edouard Oyallon 14 5 0 06 Jul 2022
Offset equivariant networks and their applications Marco Cotogni C. Cusano 16 7 0 01 Jul 2022
Generalized Permutants and Graph GENEOs Faraz Ahmad M. Ferri Patrizio Frosini 24 4 0 29 Jun 2022
Equivariant Priors for Compressed Sensing with Unknown Orientation Anna Kuzina Kumar Pratik F. V. Massoli Arash Behboodi 17 2 0 28 Jun 2022
The Manifold Scattering Transform for High-Dimensional Point Cloud Data Joyce A. Chew H. Steach Siddharth Viswanath Hau‐Tieng Wu M. Hirn Deanna Needell Smita Krishnaswamy Michael Perlmutter 3DPC 27 13 0 21 Jun 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces Yinshuang Xu Jiahui Lei Edgar Dobriban Kostas Daniilidis 23 19 0 16 Jun 2022
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields Ilyes Batatia D. P. Kovács G. Simm Christoph Ortner Gábor Csányi 36 441 0 15 Jun 2022
E2PN: Efficient SE(3)-Equivariant Point Network Minghan Zhu Maani Ghaffari W. A. Clark Huei Peng 3DPC 16 18 0 11 Jun 2022
Integrating Symmetry into Differentiable Planning with Steerable Convolutions Linfeng Zhao Xu Zhu Lingzhi Kong Robin G. Walters Lawson L. S. Wong 20 7 0 08 Jun 2022
Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups Sho Sonoda Isao Ishikawa Masahiro Ikeda 24 9 0 30 May 2022
A Classification of $G$ -invariant Shallow Neural Networks Devanshu Agrawal James Ostrowski 14 7 0 18 May 2022
What is an equivariant neural network? Lek-Heng Lim Bradley J. Nelson BDL FedML MLT 32 22 0 15 May 2022
Group-Invariant Quantum Machine Learning Martín Larocca F. Sauvage Faris M. Sbahi Guillaume Verdon Patrick J. Coles M. Cerezo AI4CE 16 117 0 04 May 2022
Design equivariant neural networks for 3D point cloud Thuan Trang Thieu N. Vo K. Nguyen 3DPC 11 0 0 02 May 2022
Learning Symmetric Embeddings for Equivariant World Models Jung Yeon Park Ondrej Biza Linfeng Zhao Jan Willem van de Meent Robin G. Walters 23 42 0 24 Apr 2022
A case for using rotation invariant features in state of the art feature matchers Georg Bökman Fredrik Kahl 12 36 0 21 Apr 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 33 68 0 16 Apr 2022
Relaxing Equivariance Constraints with Non-stationary Continuous Filters Tycho F. A. van der Ouderaa David W. Romero Mark van der Wilk 24 33 0 14 Apr 2022
Symmetry Group Equivariant Architectures for Physics A. Bogatskiy S. Ganguly Thomas Kipf Risi Kondor David W. Miller ... Jan T. Offermann M. Pettee P. Shanahan C. Shimmin S. Thais AI4CE 19 27 0 11 Mar 2022
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization Sam Buchanan Jingkai Yan Ellie Haber John N. Wright 10 3 0 09 Mar 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks Y. Yasuda R. Onishi 17 5 0 22 Feb 2022
Transformation Coding: Simple Objectives for Equivariant Representations Mehran Shakerinava A. Mondal Siamak Ravanbakhsh OffRL 14 0 0 19 Feb 2022
Unsupervised Learning of Group Invariant and Equivariant Representations R. Winter Marco Bertolini Tuan Le Frank Noé Djork-Arné Clevert 23 40 0 15 Feb 2022
A Theory of PAC Learnability under Transformation Invariances Hang Shao Omar Montasser Avrim Blum 11 18 0 15 Feb 2022