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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
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration J. Fu Qi Xie Deyu Meng Zongben Xu 94 8 0 25 Dec 2023
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks Giovanni Luca Marchetti Christopher Hillar Danica Kragic Sophia Sanborn 85 14 0 13 Dec 2023
Topological Obstructions and How to Avoid Them Babak Esmaeili Robin Walters Heiko Zimmermann Jan-Willem van de Meent AI4CE 59 3 0 12 Dec 2023
Grokking Group Multiplication with Cosets Dashiell Stander Qinan Yu Honglu Fan Stella Biderman 93 11 0 11 Dec 2023
Learning to be Simple Yang-Hui He Vishnu Jejjala Challenger Mishra Max Sharnoff 52 0 0 08 Dec 2023
Expressive Sign Equivariant Networks for Spectral Geometric Learning Derek Lim Joshua Robinson Stefanie Jegelka Haggai Maron 126 17 0 04 Dec 2023
Affine Invariance in Continuous-Domain Convolutional Neural Networks A. Mohaddes Johannes Lederer 85 1 0 13 Nov 2023
H-NeXt: The next step towards roto-translation invariant networks Tomáš Karella F. Šroubek J. Flusser Jan Blazek Vasek Kosik 60 1 0 02 Nov 2023
EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation Jingyun Yang Congyue Deng Jimmy Wu Rika Antonova Leonidas Guibas Jeannette Bohg LM&Ro 112 36 0 24 Oct 2023
Equivariant Deep Weight Space Alignment Aviv Navon Aviv Shamsian Ethan Fetaya Gal Chechik Nadav Dym Haggai Maron 86 24 0 20 Oct 2023
Almost Equivariance via Lie Algebra Convolutions Daniel McNeela 132 7 0 19 Oct 2023
Lie Group Decompositions for Equivariant Neural Networks Mircea Mironenco Patrick Forré AI4CE 88 8 0 17 Oct 2023
Equivariant Matrix Function Neural Networks Ilyes Batatia Lars L. Schaaf Huajie Chen Gábor Csányi Christoph Ortner Felix A. Faber 85 6 0 16 Oct 2023
Efficient Model-Agnostic Multi-Group Equivariant Networks Razan Baltaji Sourya Basu Lav Varshney 58 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 108 14 0 09 Oct 2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 111 3 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 67 30 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 113 12 0 03 Oct 2023
Latent Space Symmetry Discovery Jianke Yang Nima Dehmamy Robin Walters Rose Yu 96 15 0 29 Sep 2023
Learning to Transform for Generalizable Instance-wise Invariance Yan Liu Carlos Esteves Franccois Marelli Stella X. Yu OOD 53 2 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 64 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 52 13 0 13 Sep 2023
Neural Discovery of Permutation Subgroups Pavan Karjol Rohan Kashyap A. Prathosh 62 3 0 11 Sep 2023
A Unified Framework for Discovering Discrete Symmetries Pavan Karjol Rohan Kashyap Aditya Gopalan Prathosh A.P. 65 4 0 06 Sep 2023
Probabilistic Invariant Learning with Randomized Linear Classifiers Leonardo Cotta Gal Yehuda Assaf Schuster Chris J. Maddison 94 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 Walters Lawson L. S. Wong 80 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 109 26 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 107 4 0 08 Jul 2023
Equivariant Single View Pose Prediction Via Induced and Restricted Representations Owen Howell David Klee Ondrej Biza Linfeng Zhao Robin Walters 94 6 0 07 Jul 2023
Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis T. Kuipers Erik J. Bekkers 62 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 150 9 0 19 Jun 2023
Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs) Weizheng Qiao Yang Xu Hui Li 63 1 0 12 Jun 2023
Any-dimensional equivariant neural networks Eitan Levin Mateo Díaz 90 8 0 10 Jun 2023
Group Invariant Global Pooling Kamil Bujel Yonatan Gideoni Chaitanya K. Joshi Pietro Lio 62 0 0 30 May 2023
Learning Linear Groups in Neural Networks Emmanouil Theodosis Karim Helwani Demba E. Ba AI4CE 56 0 0 29 May 2023
A Rainbow in Deep Network Black Boxes Florentin Guth Brice Ménard G. Rochette S. Mallat 111 12 0 29 May 2023
Neural Fourier Transform: A General Approach to Equivariant Representation Learning Masanori Koyama Kenji Fukumizu Kohei Hayashi Takeru Miyato 88 8 0 29 May 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance Mircea Petrache Shubhendu Trivedi 100 25 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 80 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 Guibas 3DPC 88 20 0 25 May 2023
Neural Functional Transformers Allan Zhou Kaien Yang Yiding Jiang Kaylee Burns Winnie Xu Samuel Sokota J. Zico Kolter Chelsea Finn 90 37 0 22 May 2023
Clifford Group Equivariant Neural Networks David Ruhe Johannes Brandstetter Patrick Forré 87 42 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 93 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 Guibas Kostas Daniilidis 3DPC 102 22 0 27 Mar 2023
Optimization Dynamics of Equivariant and Augmented Neural Networks Axel Flinth F. Ohlsson 105 7 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 Platt Robin Walters 85 16 0 08 Mar 2023
Densely Connected $G$ -invariant Deep Neural Networks with Signed Permutation Representations Devanshu Agrawal James Ostrowski AI4CE 68 0 0 08 Mar 2023
AI for Science: An Emerging Agenda Philipp Berens Kyle Cranmer Neil D. Lawrence U. V. Luxburg Jessica Montgomery 65 6 0 07 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath Alexandru Paul Condurache 56 5 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 131 56 0 27 Feb 2023