Group Equivariant Convolutional Networks

24 February 2016

Papers citing "Group Equivariant Convolutional Networks"

50 / 378 papers shown

Title
Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks Christos Plachouras Julien Guinot George Fazekas Elio Quinton Emmanouil Benetos Johan Pauwels 122 1 0 09 May 2025
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Fuyao Chen Yuexi Du Tal Zeevi Nicha Dvornek John Onofrey 23 0 0 08 May 2025
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Ali Alawieh Alexandru P. Condurache 3DPC 58 0 0 07 May 2025
Generalization through variance: how noise shapes inductive biases in diffusion models John J. Vastola DiffM 152 1 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 33 0 0 04 Apr 2025
Spherical Tree-Sliced Wasserstein Distance Hoang V. Tran Thanh T. Chu K. Nguyen Trang Pham Tam Le T. Nguyen OT 61 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 71 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 55 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 73 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 Bin Shao Mark B. Gerstein 77 0 0 26 Feb 2025
Correspondence-Free Pose Estimation with Patterns: A Unified Approach for Multi-Dimensional Vision Quan Quan Dun Dai 42 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 78 5 0 17 Feb 2025
Data Augmentation and Regularization for Learning Group Equivariance Oskar Nordenfors Axel Flinth 54 0 0 10 Feb 2025
SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification Yuexi Du Jiazhen Zhang Tal Zeevi Nicha Dvornek J. Onofrey 59 1 0 17 Jan 2025
A group-theoretic framework for machine learning in hyperbolic spaces Vladimir Jaćimović 41 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 34 1 0 06 Nov 2024
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation Xinyu Xu Huazhen Liu Huilin Xiong W. Yu Tao Zhang 57 0 0 03 Nov 2024
Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag T. Konstantin Rusch Francesco Di Giovanni Michael Bronstein 47 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 35 2 0 09 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 29 0 0 07 Oct 2024
SymmetryLens: A new candidate paradigm for unsupervised symmetry learning via locality and equivariance Onur Efe Arkadas Ozakin 29 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 39 1 0 03 Oct 2024
Symmetry-Enriched Learning: A Category-Theoretic Framework for Robust Machine Learning Models Ronald Katende AAML 16 0 0 18 Sep 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks Ashwin Samudre Mircea Petrache Brian D. Nord Shubhendu Trivedi 44 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 34 0 0 09 Sep 2024
Equivariant Machine Learning Decoder for 3D Toric Codes Oliver Weissl Evgenii Egorov 24 0 0 06 Sep 2024
Remove Symmetries to Control Model Expressivity and Improve Optimization Liu Ziyin Yizhou Xu Isaac Chuang AAML 38 1 0 28 Aug 2024
Improving Equivariant Model Training via Constraint Relaxation Stefanos Pertigkiozoglou Evangelos Chatzipantazis Shubhendu Trivedi Kostas Daniilidis 39 4 0 23 Aug 2024
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds Hong Ye Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb 54 0 0 13 Aug 2024
EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 45 3 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 37 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 24 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 37 0 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 28 9 0 03 Jul 2024
Neural Networks Trained by Weight Permutation are Universal Approximators Yongqiang Cai Gaohang Chen Zhonghua Qiao 69 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 35 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 E. Turner 71 1 0 12 Jun 2024
Equivariant Neural Tangent Kernels Philipp Misof Pan Kessel Jan E. Gerken 55 0 0 10 Jun 2024
Transport of Algebraic Structure to Latent Embeddings Samuel Pfrommer Brendon G. Anderson Somayeh Sojoudi 31 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 35 0 0 27 May 2024
Steerable Transformers Soumyabrata Kundu Risi Kondor ViT LLMSV 30 1 0 24 May 2024
E(n) Equivariant Topological Neural Networks Claudio Battiloro Ege Karaismailoglu Mauricio Tec George Dasoulas Michelle Audirac Francesca Dominici 52 5 0 24 May 2024
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers Johann Schmidt Sebastian Stober 43 1 0 06 May 2024
On the Fourier analysis in the SO(3) space : EquiLoPO Network Dmitrii Zhemchuzhnikov Sergei Grudinin 30 0 0 24 Apr 2024
Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks Ben Eisner Yi Yang Todor Davchev Mel Vecerík Jonathan Scholz David Held 34 10 0 20 Apr 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving Steffen Hagedorn Marcel Milich A. P. Condurache 40 4 0 17 Mar 2024
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey Sébastien Herbreteau Charles Kervrann OOD 37 0 0 23 Feb 2024
Bi-invariant Dissimilarity Measures for Sample Distributions in Lie Groups M. Hanik H. Hege C. V. Tycowicz 24 3 0 20 Feb 2024
Equivariant Symmetry Breaking Sets YuQing Xie Tess E. Smidt 25 4 0 05 Feb 2024