Group Equivariant Convolutional Networks

24 February 2016

Papers citing "Group Equivariant Convolutional Networks"

50 / 502 papers shown

Title
Learning (Approximately) Equivariant Networks via Constrained Optimization Andrei Manolache Luiz F.O. Chamon Mathias Niepert 14 0 0 19 May 2025
AdS-GNN -- a Conformally Equivariant Graph Neural Network Maksim Zhdanov Nabil Iqbal Erik Bekkers Patrick Forré 22 1 0 19 May 2025
Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks Christos Plachouras Julien Guinot George Fazekas Elio Quinton Emmanouil Benetos Johan Pauwels 221 0 0 09 May 2025
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Fuyao Chen Yuexi Du Tal Zeevi Nicha Dvornek John Onofrey 28 0 0 08 May 2025
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Ali Alawieh Alexandru P. Condurache 3DPC 65 0 0 07 May 2025
Vision Transformers in Precision Agriculture: A Comprehensive Survey Saber Mehdipour Seyed Abolghasem Mirroshandel Seyed Amirhossein Tabatabaei 41 0 0 30 Apr 2025
Generalization through variance: how noise shapes inductive biases in diffusion models John J. Vastola DiffM 263 2 0 16 Apr 2025
Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems Alexander Windmann Henrik S. Steude Daniel Boschmann Oliver Niggemann OOD AI4TS 46 0 0 04 Apr 2025
Spherical Tree-Sliced Wasserstein Distance Hoang V. Tran Thanh T. Chu K. Nguyen Trang Pham Tam Le Trung Quoc Nguyen OT 63 3 0 14 Mar 2025
SE(3)-Equivariant Robot Learning and Control: A Tutorial Survey Joohwan Seo Soochul Yoo Junwoo Chang Hyunseok An Hyunwoo Ryu Soomi Lee Arvind Kruthiventy Jongeun Choi R. Horowitz 76 2 0 12 Mar 2025
Spectral State Space Model for Rotation-Invariant Visual Representation Learning Sahar Dastani Ali Bahri Moslem Yazdanpanah Mehrdad Noori David Osowiechi ... Farzad Beizaee Milad Cheraghalikhani A. Mondal H. Lombaert Christian Desrosiers 69 0 0 09 Mar 2025
Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines Olaya Álvarez-Tunón Yury Brodskiy Erdal Kayacan 78 6 0 04 Mar 2025
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems Yunyang Li Zaishuo Xia Lin Huang Xinran Wei Han Yang ... Zun Wang Chang-Shu Liu Jia Zhang Jia Zhang Mark B. Gerstein 82 0 0 26 Feb 2025
Correspondence-Free Pose Estimation with Patterns: A Unified Approach for Multi-Dimensional Vision Quan Quan Dun Dai 49 0 0 26 Feb 2025
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Theodoros Kouzelis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DRL 85 6 0 17 Feb 2025
Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion Vinh Tong Trung-Dung Hoang Anji Liu Hoang Trung-Dung Guy Van den Broeck DiffM 87 0 0 14 Feb 2025
Data Augmentation and Regularization for Learning Group Equivariance Oskar Nordenfors Axel Flinth 64 0 0 10 Feb 2025
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching Marco Bertolini Tuan Le Djork-Arné Clevert DiffM 95 0 0 04 Feb 2025
SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification Yuexi Du Jiazhen Zhang Tal Zeevi Nicha Dvornek J. Onofrey 61 1 0 17 Jan 2025
A group-theoretic framework for machine learning in hyperbolic spaces Vladimir Jaćimović 54 0 0 12 Jan 2025
Approximate Equivariance in Reinforcement Learning Jung Yeon Park Sujay Bhatt Sihan Zeng Lawson L. S. Wong Alec Koppel Sumitra Ganesh Robin Walters 45 1 0 06 Nov 2024
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation Xinyu Xu Huazhen Liu Huilin Xiong Wenhao Yu Tao Zhang 70 0 0 03 Nov 2024
Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag T. Konstantin Rusch Francesco Di Giovanni Michael Bronstein 55 2 0 23 Oct 2024
Encoding architecture algebra Stephane Bersier Xinyi Chen-Lin AI4CE 18 0 0 15 Oct 2024
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations Yonatan Sverdlov Ido Springer Nadav Dym 40 2 0 09 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 41 0 0 07 Oct 2024
SymmetryLens: A new candidate paradigm for unsupervised symmetry learning via locality and equivariance Onur Efe Arkadas Ozakin 36 0 0 07 Oct 2024
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups Zakhar Shumaylov Peter Zaika James Rowbottom Ferdia Sherry Melanie Weber Carola-Bibiane Schönlieb 54 2 0 03 Oct 2024
Segment as You Wish -- Free-Form Language-Based Segmentation for Medical Images Longchao Da Rui Wang Xiaojian Xu Parminder Bhatia Taha A. Kass-Hout Hua Wei Cao Xiao VLM MedIm 51 2 0 02 Oct 2024
Symmetry-Enriched Learning: A Category-Theoretic Framework for Robust Machine Learning Models Ronald Katende AAML 19 0 0 18 Sep 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks Ashwin Samudre Mircea Petrache Brian D. Nord Shubhendu Trivedi 55 2 0 18 Sep 2024
Symmetry constrained neural networks for detection and localization of damage in metal plates James Amarel Christopher Rudolf Athanasios P. Iliopoulos J. Michopoulos Leslie N. Smith 45 0 0 09 Sep 2024
Equivariant Machine Learning Decoder for 3D Toric Codes Oliver Weissl Evgenii Egorov 34 0 0 06 Sep 2024
Remove Symmetries to Control Model Expressivity and Improve Optimization Liu Ziyin Yizhou Xu Isaac Chuang AAML 46 1 0 28 Aug 2024
Improving Equivariant Model Training via Constraint Relaxation Stefanos Pertigkiozoglou Evangelos Chatzipantazis Shubhendu Trivedi Kostas Daniilidis 47 5 0 23 Aug 2024
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds Hong Ye Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb 59 0 0 13 Aug 2024
EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 50 4 0 12 Aug 2024
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks Yoav Gelberg Tycho F. A. van der Ouderaa Mark van der Wilk Y. Gal AAML 45 4 0 10 Aug 2024
Extreme time extrapolation capabilities and thermodynamic consistency of physics-inspired Neural Networks for the 3D microstructure evolution of materials Daniel Lanzoni Andrea Fantasia R. Bergamaschini Olivier Pierre-Louis F. Montalenti AI4CE 31 0 0 29 Jul 2024
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts Hyunsu Kim Yegon Kim Hongseok Yang Juho Lee 50 1 0 05 Jul 2024
OrbitGrasp: $SE(3)$ -Equivariant Grasp Learning Boce Hu Xupeng Zhu Dian Wang Zihao Dong Haojie Huang Chenghao Wang Robin Walters Robert Platt 3DPC 37 10 0 03 Jul 2024
Neural Networks Trained by Weight Permutation are Universal Approximators Yongqiang Cai Gaohang Chen Zhonghua Qiao 72 1 0 01 Jul 2024
Molecule Graph Networks with Many-body Equivariant Interactions Zetian Mao Jiawen Li Chen Liang Diptesh Das Masato Sumita Koji Tsuda Kelin Xia Koji Tsuda 45 1 0 19 Jun 2024
Noise-Aware Differentially Private Regression via Meta-Learning Ossi Raisa Stratis Markou Matthew Ashman W. Bruinsma Marlon Tobaben Antti Honkela Richard Turner 82 1 0 12 Jun 2024
Equivariant Neural Tangent Kernels Philipp Misof Pan Kessel Jan E. Gerken 64 0 0 10 Jun 2024
Transport of Algebraic Structure to Latent Embeddings Samuel Pfrommer Brendon G. Anderson Somayeh Sojoudi 37 0 0 27 May 2024
CARL: A Framework for Equivariant Image Registration Hastings Greer Lin Tian François-Xavier Vialard Roland Kwitt R. Estépar Marc Niethammer 3DPC MedIm 40 0 0 27 May 2024
E(n) Equivariant Topological Neural Networks Claudio Battiloro Ege Karaismailoglu Mauricio Tec George Dasoulas Michelle Audirac Francesca Dominici 63 6 0 24 May 2024
Steerable Transformers Soumyabrata Kundu Risi Kondor ViT LLMSV 42 1 0 24 May 2024
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers Johann Schmidt Sebastian Stober 48 1 0 06 May 2024