Group Equivariant Convolutional Networks

24 February 2016

Papers citing "Group Equivariant Convolutional Networks"

50 / 502 papers shown

Title
Self-Supervised Learning for Group Equivariant Neural Networks Yusuke Mukuta Tatsuya Harada SSL 35 0 0 08 Mar 2023
CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame Yujing Lou Zelin Ye Yang You Nianjuan Jiang Jiangbo Lu Weiming Wang Lizhuang Ma Cewu Lu 3DPC 44 7 0 06 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath Alexandru Paul Condurache 23 4 0 02 Mar 2023
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution Zikai Sun T. Blu 29 6 0 01 Mar 2023
Permutation Equivariant Neural Functionals Allan Zhou Kaien Yang Kaylee Burns Adriano Cardace Yiding Jiang Samuel Sokota J. Zico Kolter Chelsea Finn 37 47 0 27 Feb 2023
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction David Klee Ondrej Biza Robert Platt Robin Walters 29 19 0 27 Feb 2023
DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving Xihao Wang Jiaming Lei Hai Lan Arafat Al-Jawari Xian Wei 3DPC 16 6 0 27 Feb 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 34 5 0 22 Feb 2023
On Interpretable Approaches to Cluster, Classify and Represent Multi-Subspace Data via Minimum Lossy Coding Length based on Rate-Distortion Theory Kaige Lu Avraham Chapman 45 0 0 21 Feb 2023
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey Kunlin Wang Zi Wang Zhang Li Ang Su Xichao Teng Minhao Liu Qifeng Yu Qifeng Yu ObjD 89 9 0 21 Feb 2023
General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment Liang Xie Yibo Yang Wenxiao Wang Binbin Lin Deng Cai Xiaofei He Ronghua Liang 3DPC 29 2 0 20 Feb 2023
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization Agustinus Kristiadi Felix Dangel Philipp Hennig 34 11 0 14 Feb 2023
Self-supervised learning of Split Invariant Equivariant representations Q. Garrido Laurent Najman Yann LeCun SSL 34 32 0 14 Feb 2023
Gauge-equivariant neural networks as preconditioners in lattice QCD C. Lehner T. Wettig AI4CE 38 10 0 10 Feb 2023
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs Saro Passaro C. L. Zitnick 3DPC 45 80 0 07 Feb 2023
Sample Complexity of Probability Divergences under Group Symmetry Ziyu Chen Markos A. Katsoulakis Luc Rey-Bellet Weixia Zhu 46 10 0 03 Feb 2023
Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon Aviv Shamsian Idan Achituve Ethan Fetaya Gal Chechik Haggai Maron 52 63 0 30 Jan 2023
Equivariant and Steerable Neural Networks: A review with special emphasis on the symmetric group Patrick Krüger Hanno Gottschalk 32 1 0 08 Jan 2023
Fine-Grained Hard Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset Maxime W. Lafarge V. Koelzer 32 1 0 03 Jan 2023
MVTN: Learning Multi-View Transformations for 3D Understanding Abdullah Hamdi Faisal AlZahrani Silvio Giancola Guohao Li 3DPC 3DV 36 6 0 27 Dec 2022
VC dimensions of group convolutional neural networks P. Petersen A. Sepliarskaia VLM 29 7 0 19 Dec 2022
Brauer's Group Equivariant Neural Networks Edward Pearce-Crump AI4CE 18 15 0 16 Dec 2022
Lorentz group equivariant autoencoders Zichun Hao Raghav Kansal Javier Mauricio Duarte N. Chernyavskaya BDL DRL AI4CE 33 24 0 14 Dec 2022
Implicit Convolutional Kernels for Steerable CNNs Maksim Zhdanov Nico Hoffmann Gabriele Cesa 47 6 0 12 Dec 2022
Robust Perception through Equivariance Chengzhi Mao Lingyu Zhang Abhishek Joshi Junfeng Yang Hongya Wang Carl Vondrick BDL AAML 31 7 0 12 Dec 2022
Physics-guided Data Augmentation for Learning the Solution Operator of Linear Differential Equations Yemo Li Yiwen Pang Bin Shan AI4CE 31 3 0 08 Dec 2022
Applications of Lattice Gauge Equivariant Neural Networks Matteo Favoni A. Ipp David I. Müller 22 6 0 01 Dec 2022
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution A. Poulenard M. Ovsjanikov Leonidas J. Guibas 3DPC 32 2 0 29 Nov 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 24 6 0 28 Nov 2022
Invariance-Aware Randomized Smoothing Certificates Jan Schuchardt Stephan Günnemann AAML 30 5 0 25 Nov 2022
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization Sanae Lotfi Marc Finzi Sanyam Kapoor Andres Potapczynski Micah Goldblum A. Wilson BDL MLT AI4CE 29 54 0 24 Nov 2022
SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture Han Zheng Christopher Kang Gokul Subramanian Ravi Hanrui Wang Kanav Setia Frederic T. Chong Junyu Liu 24 11 0 23 Nov 2022
Transformation-Equivariant 3D Object Detection for Autonomous Driving Hai Wu Chenglu Wen Wei Li Xin Li Ruigang Yang Cheng-i Wang 3DPC 28 87 0 22 Nov 2022
RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network Hanlin Mo Guoying Zhao 27 30 0 21 Nov 2022
Learning unfolded networks with a cyclic group structure Emmanouil Theodosis Demba E. Ba 19 0 0 16 Nov 2022
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry Dian Wang Jung Yeon Park Neel Sortur Lawson L. S. Wong Robin Walters Robert Platt AAML 38 35 0 16 Nov 2022
Characterizing 4-string contact interaction using machine learning Harold Erbin Atakan Hilmi Fırat 40 15 0 16 Nov 2022
Scalar Invariant Networks with Zero Bias Chuqin Geng Xiaojie Xu Haolin Ye X. Si 26 1 0 15 Nov 2022
Homomorphic Self-Supervised Learning Thomas Anderson Keller Xavier Suau Luca Zappella SSL 21 2 0 15 Nov 2022
Equivariant Networks for Crystal Structures Sekouba Kaba Siamak Ravanbakhsh AI4CE 50 24 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 34 2 0 14 Nov 2022
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 49 64 0 11 Nov 2022
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation Di Luo Shunyue Yuan J. Stokes B. Clark 33 14 0 06 Nov 2022
Learning the shape of protein micro-environments with a holographic convolutional neural network Michael N. Pun Andrew Ivanov Quinn Bellamy Zachary Montague Colin H. LaMont P. Bradley J. Otwinowski Armita Nourmohammad 24 12 0 05 Nov 2022
Grassmann Manifold Flows for Stable Shape Generation Ryoma Yataka Kazuki Hirashima Masashi Shiraishi 27 1 0 05 Nov 2022
Neural network quantum state with proximal optimization: a ground-state searching scheme based on variational Monte Carlo Feng Chen Ming Xue 26 0 0 29 Oct 2022
Bridging Machine Learning and Sciences: Opportunities and Challenges Taoli Cheng UQCV OOD AI4CE 27 2 0 24 Oct 2022
Robust Self-Supervised Learning with Lie Groups Mark Ibrahim Diane Bouchacourt Ari S. Morcos SSL OOD 42 6 0 24 Oct 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi Gabriele Cesa Taco S. Cohen 60 17 0 24 Oct 2022
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization K. Pham Hung Le Man Ngo T. Tran OODD 33 1 0 23 Oct 2022