B-Spline CNNs on Lie Groups

26 September 2019

Papers citing "B-Spline CNNs on Lie Groups"

50 / 96 papers shown

Title
AdS-GNN -- a Conformally Equivariant Graph Neural Network Maksim Zhdanov Nabil Iqbal Erik Bekkers Patrick Forré 9 1 0 19 May 2025
Diffusion for Multi-Embodiment Grasping Roman Freiberg Alexander Qualmann Ngo Anh Vien Gerhard Neumann 29 3 0 24 Oct 2024
On the VC dimension of deep group convolutional neural networks Anna Sepliarskaia S. Langer Johannes Schmidt-Hieber MLT 33 0 0 21 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 41 1 0 03 Oct 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks Ashwin Samudre Mircea Petrache Brian D. Nord Shubhendu Trivedi 47 2 0 18 Sep 2024
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations Andrzej Perzanowski Tony Lindeberg 53 1 0 17 Sep 2024
Adaptive Sampling for Continuous Group Equivariant Neural Networks Berfin Inal Gabriele Cesa 35 0 0 13 Sep 2024
Improving Equivariant Model Training via Constraint Relaxation Stefanos Pertigkiozoglou Evangelos Chatzipantazis Shubhendu Trivedi Kostas Daniilidis 42 4 0 23 Aug 2024
Scale-Translation Equivariant Network for Oceanic Internal Solitary Wave Localization Zhang Wan Shuo Wang Xudong Zhang 41 0 0 18 Jun 2024
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields David M. Knigge David R. Wessels Riccardo Valperga Samuele Papa J. Sonke E. Gavves Erik J. Bekkers AI4CE 36 4 0 10 Jun 2024
Neural Isometries: Taming Transformations for Equivariant ML Thomas W. Mitchel Michael Taylor Vincent Sitzmann 30 1 0 29 May 2024
Approximation properties relative to continuous scale space for hybrid discretizations of Gaussian derivative operators Tony Lindeberg 36 2 0 08 May 2024
Covariant spatio-temporal receptive fields for spiking neural networks Jens Egholm Pedersen Jorg Conradt Tony Lindeberg 32 3 0 01 May 2024
Geometric Generative Models based on Morphological Equivariant PDEs and GANs El Hadji S. Diop Thierno Fall Alioune Mbengue Mohamed Daoudi GAN 35 1 0 22 Mar 2024
Neural Operators with Localized Integral and Differential Kernels Miguel Liu-Schiaffini Julius Berner Boris Bonev Thorsten Kurth Kamyar Azizzadenesheli A. Anandkumar 61 20 0 26 Feb 2024
Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales Shuren Qi Yushu Zhang Chao Wang Zhihua Xia Xiaochun Cao Jian Weng 24 1 0 23 Feb 2024
Optimal Transport on the Lie Group of Roto-translations Daan Bon Gautam Pai Gijs Bellaard Olga Mula R. Duits OT 24 1 0 23 Feb 2024
Clifford-Steerable Convolutional Neural Networks Maksim Zhdanov David Ruhe Maurice Weiler Ana Lucic Johannes Brandstetter Patrick Forré 47 12 0 22 Feb 2024
Discrete approximations of Gaussian smoothing and Gaussian derivatives Tony Lindeberg 32 12 0 19 Nov 2023
Unified theory for joint covariance properties under geometric image transformations for spatio-temporal receptive fields according to the generalized Gaussian derivative model for visual receptive fields Tony Lindeberg 21 7 0 17 Nov 2023
Affine Invariance in Continuous-Domain Convolutional Neural Networks A. Mohaddes Johannes Lederer 23 1 0 13 Nov 2023
Truly Scale-Equivariant Deep Nets with Fourier Layers Md Ashiqur Rahman Raymond A. Yeh 47 8 0 06 Nov 2023
Lie Group Decompositions for Equivariant Neural Networks Mircea Mironenco Patrick Forré AI4CE 31 8 0 17 Oct 2023
Learning Layer-wise Equivariances Automatically using Gradients Tycho F. A. van der Ouderaa Alexander Immer Mark van der Wilk MLT 50 12 0 09 Oct 2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 48 2 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 21 24 0 04 Oct 2023
Latent Space Symmetry Discovery Jianke Yang Nima Dehmamy Robin Walters Rose Yu 32 12 0 29 Sep 2023
Geometry of Linear Neural Networks: Equivariance and Invariance under Permutation Groups Kathlén Kohn Anna-Laura Sattelberger V. Shahverdi 25 3 0 24 Sep 2023
Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs) Weizheng Qiao Yang Xu Hui Li 32 0 0 12 Jun 2023
$E(2)$ -Equivariant Vision Transformer Renjun Xu Kaifan Yang Ke Liu Fengxiang He ViT MDE 21 9 0 11 Jun 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance Mircea Petrache Shubhendu Trivedi 35 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 42 1 0 26 May 2023
Clifford Group Equivariant Neural Networks David Ruhe Johannes Brandstetter Patrick Forré 31 35 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
An Exploration of Conditioning Methods in Graph Neural Networks Yeskendir Koishekenov Erik J. Bekkers AI4CE 45 3 0 03 May 2023
Scale-Equivariant Deep Learning for 3D Data Thomas Wimmer Vladimir Golkov H. Dang Moritz Zaiss Andreas Maier Daniel Cremers 3DPC MedIm 28 5 0 12 Apr 2023
Scale-Equivariant UNet for Histopathology Image Segmentation Yi-Lun Yang S. Dasmahapatra S. Mahmoodi 28 11 0 10 Apr 2023
Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields T. Lindeberg 29 11 0 17 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath A. P. Condurache 18 4 0 02 Mar 2023
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution Zikai Sun T. Blu 27 6 0 01 Mar 2023
Generative Adversarial Symmetry Discovery Jianke Yang Robin Walters Nima Dehmamy Rose Yu GAN 19 22 0 01 Feb 2023
Modelling Long Range Dependencies in $N$ D: From Task-Specific to a General Purpose CNN David M. Knigge David W. Romero Albert Gu E. Gavves Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn J. Sonke 3DV 29 21 0 25 Jan 2023
Equivariant Light Field Convolution and Transformer Yinshuang Xu Jiahui Lei Kostas Daniilidis ViT 27 0 0 30 Dec 2022
VC dimensions of group convolutional neural networks P. Petersen A. Sepliarskaia VLM 27 7 0 19 Dec 2022
Implicit Convolutional Kernels for Steerable CNNs Maksim Zhdanov Nico Hoffmann Gabriele Cesa 36 6 0 12 Dec 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi Gabriele Cesa Taco S. Cohen 56 17 0 24 Oct 2022
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE Alireza Nasiri Tristan Bepler DRL 22 12 0 24 Oct 2022
LieGG: Studying Learned Lie Group Generators A. Moskalev A. Sepliarskaia Ivan Sosnovik A. Smeulders 28 22 0 09 Oct 2022
Analysis of (sub-)Riemannian PDE-G-CNNs Gijs Bellaard Daan Bon Gautam Pai B. Smets R. Duits AI4CE 30 12 0 03 Oct 2022
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments Jaspreet Singh Chandan Singh 24 5 0 22 Sep 2022