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
H-NeXt: The next step towards roto-translation invariant networks Tomáš Karella F. Šroubek J. Flusser Jan Blazek Vasek Kosik 29 1 0 02 Nov 2023
EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation Jingyun Yang Congyue Deng Jimmy Wu Rika Antonova Leonidas J. Guibas Jeannette Bohg LM&Ro 31 31 0 24 Oct 2023
Equivariant Deep Weight Space Alignment Aviv Navon Aviv Shamsian Ethan Fetaya Gal Chechik Nadav Dym Haggai Maron 23 21 0 20 Oct 2023
Almost Equivariance via Lie Algebra Convolutions Daniel McNeela 24 6 0 19 Oct 2023
Lie Group Decompositions for Equivariant Neural Networks Mircea Mironenco Patrick Forré AI4CE 23 7 0 17 Oct 2023
Equivariant Matrix Function Neural Networks Ilyes Batatia Lars L. Schaaf Huajie Chen Gábor Csányi Christoph Ortner Felix A. Faber 28 5 0 16 Oct 2023
Efficient Model-Agnostic Multi-Group Equivariant Networks Razan Baltaji Sourya Basu L. Varshney 32 1 0 14 Oct 2023
Learning Layer-wise Equivariances Automatically using Gradients Tycho F. A. van der Ouderaa Alexander Immer Mark van der Wilk MLT 44 12 0 09 Oct 2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 40 1 0 06 Oct 2023
Fast, Expressive SE $(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space Erik J. Bekkers Sharvaree P. Vadgama Rob D. Hesselink P. A. V. D. Linden David W. Romero 13 24 0 04 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution Rui Wang E. Hofgard Han Gao Robin Walters Tess E. Smidt AI4CE 32 9 0 03 Oct 2023
Latent Space Symmetry Discovery Jianke Yang Nima Dehmamy Robin G. Walters Rose Yu 30 12 0 29 Sep 2023
Learning to Transform for Generalizable Instance-wise Invariance Yan Liu Carlos Esteves Franccois Marelli Stella X. Yu OOD 22 1 0 28 Sep 2023
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors Yuanyi Zhong Anand Bhattad Yu-Xiong Wang David Forsyth MDE 26 2 0 28 Sep 2023
All you need is spin: SU(2) equivariant variational quantum circuits based on spin networks R. D. East Guillermo Alonso-Linaje Chae-Yeun Park 10 13 0 13 Sep 2023
Neural Discovery of Permutation Subgroups Pavan Karjol Rohan Kashyap A. Prathosh 28 3 0 11 Sep 2023
A Unified Framework for Discovering Discrete Symmetries Pavan Karjol Rohan Kashyap Aditya Gopalan Prathosh A.P. 19 2 0 06 Sep 2023
Probabilistic Invariant Learning with Randomized Linear Classifiers Leonardo Cotta Gal Yehuda Assaf Schuster Chris J. Maddison 15 2 0 08 Aug 2023
Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning? Linfeng Zhao Owen Howell Jung Yeon Park Xu Zhu Robin G. Walters Lawson L. S. Wong 36 1 0 17 Jul 2023
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations Grégoire Mialon Q. Garrido Hannah Lawrence Danyal Rehman Yann LeCun B. Kiani SSL 27 24 0 11 Jul 2023
Polynomial Width is Sufficient for Set Representation with High-dimensional Features Peihao Wang Shenghao Yang Shu Li Zhangyang Wang Pan Li 19 3 0 08 Jul 2023
Equivariant Single View Pose Prediction Via Induced and Restricted Representations Owen Howell David M. Klee Ondrej Biza Linfeng Zhao Robin G. Walters 28 4 0 07 Jul 2023
Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis T. Kuipers Erik J. Bekkers 11 5 0 24 Jun 2023
Practical Equivariances via Relational Conditional Neural Processes Daolang Huang Manuel Haussmann Ulpu Remes S. T. John Grégoire Clarté K. Luck Samuel Kaski Luigi Acerbi BDL 54 8 0 19 Jun 2023
Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs) Weizheng Qiao Yang Xu Hui Li 24 0 0 12 Jun 2023
Any-dimensional equivariant neural networks Eitan Levin Mateo Díaz 21 6 0 10 Jun 2023
Group Invariant Global Pooling Kamil Bujel Yonatan Gideoni Chaitanya K. Joshi Pietro Lio' 37 0 0 30 May 2023
Learning Linear Groups in Neural Networks Emmanouil Theodosis Karim Helwani Demba E. Ba AI4CE 8 0 0 29 May 2023
A Rainbow in Deep Network Black Boxes Florentin Guth Brice Ménard G. Rochette S. Mallat 17 10 0 29 May 2023
Neural Fourier Transform: A General Approach to Equivariant Representation Learning Masanori Koyama Kenji Fukumizu Kohei Hayashi Takeru Miyato 27 8 0 29 May 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance Mircea Petrache Shubhendu Trivedi 33 22 0 27 May 2023
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications Gianfranco Cortés Yue Yu R. Chen Melissa S. Armstrong David E Vaillancourt B. Vemuri 26 1 0 26 May 2023
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance Congyue Deng Jiahui Lei Bokui Shen Kostas Daniilidis Leonidas J. Guibas 3DPC 25 15 0 25 May 2023
Neural Functional Transformers Allan Zhou Kaien Yang Yiding Jiang Kaylee Burns Winnie Xu Samuel Sokota J. Zico Kolter Chelsea Finn 16 31 0 22 May 2023
Clifford Group Equivariant Neural Networks David Ruhe Johannes Brandstetter Patrick Forré 26 34 0 18 May 2023
Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural network Wenzhao Zhao Barbara D. Wichtmann Steffen Albert Angelika Maurer F. G. Zollner Ulrike Attenberger Jurgen Hesser 22 1 0 17 May 2023
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision Jiahui Lei Congyue Deng Karl Schmeckpeper Leonidas J. Guibas Kostas Daniilidis 3DPC 24 21 0 27 Mar 2023
Optimization Dynamics of Equivariant and Augmented Neural Networks Axel Flinth F. Ohlsson 30 5 0 23 Mar 2023
A General Theory of Correct, Incorrect, and Extrinsic Equivariance Dian Wang Xu Zhu Jung Yeon Park Mingxi Jia Guanang Su Robert W. Platt Robin G. Walters 24 13 0 08 Mar 2023
Densely Connected $G$ -invariant Deep Neural Networks with Signed Permutation Representations Devanshu Agrawal James Ostrowski AI4CE 30 0 0 08 Mar 2023
AI for Science: An Emerging Agenda Philipp Berens Kyle Cranmer Neil D. Lawrence U. V. Luxburg Jessica Montgomery 35 4 0 07 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath A. P. Condurache 16 4 0 02 Mar 2023
Permutation Equivariant Neural Functionals Allan Zhou Kaien Yang Kaylee Burns Adriano Cardace Yiding Jiang Samuel Sokota J. Zico Kolter Chelsea Finn 20 47 0 27 Feb 2023
Invariant Layers for Graphs with Nodes of Different Types Dmitry Rybin Ruoyu Sun Zhimin Luo 20 0 0 27 Feb 2023
Generative Adversarial Symmetry Discovery Jianke Yang Robin G. Walters Nima Dehmamy Rose Yu GAN 19 22 0 01 Feb 2023
Towards fully covariant machine learning Soledad Villar D. Hogg Weichi Yao George A. Kevrekidis Bernhard Schölkopf AI4CE 30 10 0 31 Jan 2023
Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon Aviv Shamsian Idan Achituve Ethan Fetaya Gal Chechik Haggai Maron 33 63 0 30 Jan 2023
Equivariant Light Field Convolution and Transformer Yinshuang Xu Jiahui Lei Kostas Daniilidis ViT 19 0 0 30 Dec 2022
VC dimensions of group convolutional neural networks P. Petersen A. Sepliarskaia VLM 19 7 0 19 Dec 2022
Fully complex-valued deep learning model for visual perception Aniruddh Sikdar Sumanth Udupa Suresh Sundaram 9 2 0 14 Dec 2022