Steerable Partial Differential Operators for Equivariant Neural Networks

18 June 2021

Papers citing "Steerable Partial Differential Operators for Equivariant Neural Networks"

20 / 20 papers shown

Title
Self-Supervised Learning based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation Qin Wang Benjamin Bruns Hanno Scharr Kai Krajsek 58 0 0 24 Mar 2025
Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration Xueyang Kang Zhaoliang Luan Kourosh Khoshelham Bing Wang 3DPC 34 0 0 08 Oct 2024
Clifford-Steerable Convolutional Neural Networks Maksim Zhdanov David Ruhe Maurice Weiler Ana Lucic Johannes Brandstetter Patrick Forré 47 12 0 22 Feb 2024
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D Hao-zhe Huang Owen Howell Dian Wang Xu Zhu Robin G. Walters Robert W. Platt 31 22 0 22 Jan 2024
Leveraging Symmetries in Pick and Place Hao-zhe Huang Dian Wang Arsh Tangri Robin G. Walters Robert W. Platt 29 14 0 15 Aug 2023
On genuine invariance learning without weight-tying A. Moskalev A. Sepliarskaia Erik J. Bekkers A. Smeulders CML OOD 19 6 0 07 Aug 2023
Equivariant Single View Pose Prediction Via Induced and Restricted Representations Owen Howell David M. Klee Ondrej Biza Linfeng Zhao Robin G. Walters 28 4 0 07 Jul 2023
Interpretable statistical representations of neural population dynamics and geometry Adam Gosztolai Robert L. Peach Alexis Arnaudon Mauricio Barahona P. Vandergheynst 17 8 0 06 Apr 2023
Self-Supervised Learning for Group Equivariant Neural Networks Yusuke Mukuta Tatsuya Harada SSL 35 0 0 08 Mar 2023
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution Zikai Sun T. Blu 19 6 0 01 Mar 2023
VC dimensions of group convolutional neural networks P. Petersen A. Sepliarskaia VLM 19 7 0 19 Dec 2022
Moving Frame Net: SE(3)-Equivariant Network for Volumes Mateus Sangalli S. Blusseau Santiago Velasco-Forero Jesús Angulo 54 6 0 07 Nov 2022
LieGG: Studying Learned Lie Group Generators A. Moskalev A. Sepliarskaia Ivan Sosnovik A. Smeulders 28 22 0 09 Oct 2022
Clifford Neural Layers for PDE Modeling Johannes Brandstetter Rianne van den Berg Max Welling Jayesh K. Gupta AI4CE 62 80 0 08 Sep 2022
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs Zhengyang Shen T. Hong Qi She Jinwen Ma Zhouchen Lin MedIm 11 7 0 07 Aug 2022
ReF -- Rotation Equivariant Features for Local Feature Matching Abhishek Peri K. Mehta Avneesh Mishra Michael Milford Sourav Garg K. M. Krishna 25 5 0 10 Mar 2022
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 102 127 0 11 Mar 2020
PDE-based Group Equivariant Convolutional Neural Networks B. Smets J. Portegies Erik J. Bekkers R. Duits AI4CE 11 53 0 24 Jan 2020
Invariant Feature Coding using Tensor Product Representation Yusuke Mukuta Tatsuya Harada 24 0 0 05 Jun 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 162 308 0 05 Nov 2018