3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

6 July 2018

Papers citing "3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data"

50 / 334 papers shown

Title
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching Aaron J. Havens Benjamin Kurt Miller Bing Yan Carles Domingo-Enrich Anuroop Sriram ... Brandon Amos Brian Karrer Xiang Fu Guan-Horng Liu Ricky T. Q. Chen DiffM 50 0 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
Force-Free Molecular Dynamics Through Autoregressive Equivariant Networks Fabian L. Thiemann Thiago Reschützegger Massimiliano Esposito Tseden Taddese Juan D. Olarte-Plata Fausto Martelli AI4CE 47 0 0 31 Mar 2025
Learning from spatially inhomogenous data: resolution-adaptive convolutions for multiple sclerosis lesion segmentation I. Díaz Florin Scherer Yanik Berli Roland Wiest Helly Hammer Robert Hoepner Alejandro Leon Betancourt Piotr Radojewski Richard McKinley 32 0 0 26 Mar 2025
Permutation Equivariant Neural Networks for Symmetric Tensors Edward Pearce-Crump 48 0 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
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching Marco Bertolini Tuan Le Djork-Arné Clevert DiffM 81 0 0 04 Feb 2025
Learning local equivariant representations for quantum operators Zhanghao Zhouyin Zixi Gan MingKang Liu S. K. Pandey Linfeng Zhang Qiangqiang Gu 72 3 0 28 Jan 2025
EquiFlow: Equivariant Conditional Flow Matching with Optimal Transport for 3D Molecular Conformation Prediction Qingwen Tian Yuxin Xu Yixuan Yang Zhen Wang Ziqi Liu Pengju Yan Xiaolin Li 74 0 0 15 Dec 2024
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation Yinshuang Xu Dian Chen Katherine Liu Sergey Zakharov Rares Ambrus Kostas Daniilidis Vitor Campagnolo Guizilini MDE 33 0 0 11 Nov 2024
Harmformer: Harmonic Networks Meet Transformers for Continuous Roto-Translation Equivariance Tomáš Karella Adam Harmanec J. Kotera Jan Blažek F. Šroubek 36 1 0 06 Nov 2024
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
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? Jiacheng Cen Anyi Li Ning Lin Yuxiang Ren Zihe Wang Wenbing Huang 38 2 0 15 Oct 2024
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
Adaptive Sampling for Continuous Group Equivariant Neural Networks Berfin Inal Gabriele Cesa 35 0 0 13 Sep 2024
Relaxed Rotational Equivariance via $G$ -Biases in Vision Zhiqiang Wu Licheng Sun Yingjie Liu Jian Yang Hanlin Dong S. J. Lin Xuan Tang Jinpeng Mi Bo Jin Xian Wei 31 0 0 22 Aug 2024
EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 40 3 0 12 Aug 2024
Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs Soutrik Roy Chowdhury 38 0 0 08 Aug 2024
Relaxed Equivariant Graph Neural Networks E. Hofgard Rui Wang Robin Walters Tess E. Smidt 40 1 0 30 Jul 2024
Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning Ray Zhang Zheming Zhou Min Sun Omid Ghasemalizadeh Cheng-Hao Kuo Ryan Eustice Maani Ghaffari Arnie Sen 3DPC 43 1 0 29 Jul 2024
SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking Jian Wang Razieh Faghihpirayesh Polina Golland Ali Gholipour 33 1 0 29 Jul 2024
SE(3)-bi-equivariant Transformers for Point Cloud Assembly Ziming Wang Rebecka Jörnsten 3DPC 43 2 0 12 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
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency Yuchao Lin Jacob Helwig Shurui Gui Shuiwang Ji 39 7 0 11 Jun 2024
E(n) Equivariant Message Passing Cellular Networks Veljko Kovač Erik J. Bekkers Pietro Lio' Floor Eijkelboom 36 1 0 05 Jun 2024
Learning equivariant tensor functions with applications to sparse vector recovery Wilson Gregory Josué Tonelli-Cueto Nicholas F. Marshall Andrew S. Lee Soledad Villar 37 1 0 03 Jun 2024
Flexible SE(2) graph neural networks with applications to PDE surrogates Maria Bånkestad Olof Mogren Aleksis Pirinen 44 1 0 30 May 2024
A Recipe for Charge Density Prediction Xiang Fu Andrew S. Rosen Kyle Bystrom Rui Wang Albert Musaelian Boris Kozinsky Tess E. Smidt Tommi Jaakkola 48 5 0 29 May 2024
Approximately-symmetric neural networks for quantum spin liquids Dominik S. Kufel Jack Kemp Simon M. Linsel C. Laumann Norman Y. Yao 31 3 0 27 May 2024
Steerable Transformers Soumyabrata Kundu Risi Kondor ViT LLMSV 30 1 0 24 May 2024
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing Viktor Zaverkin Francesco Alesiani Takashi Maruyama Federico Errica Henrik Christiansen Makoto Takamoto Nicolas Weber Mathias Niepert 41 5 0 23 May 2024
Dielectric Tensor Prediction for Inorganic Materials Using Latent Information from Preferred Potential Zetian Mao Wenwen Li Jethro Tan 30 2 0 15 May 2024
Structure-based drug design by denoising voxel grids Pedro H. O. Pinheiro Arian R. Jamasb Omar Mahmood Vishnu Sresht Saeed Saremi DiffM 34 8 0 07 May 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 40 4 0 05 May 2024
On the Fourier analysis in the SO(3) space : EquiLoPO Network Dmitrii Zhemchuzhnikov Sergei Grudinin 30 0 0 24 Apr 2024
Latent Chemical Space Searching for Plug-in Multi-objective Molecule Generation Ningfeng Liu Jie Yu Siyu Xiu Xinfang Zhao Siyu Lin Bo Qiang Ruqiu Zheng Hongwei Jin Liangren Zhang Zhenming Liu 18 1 0 10 Apr 2024
Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response Ravi G. Patel C. Safta Reese E. Jones AI4CE 35 1 0 05 Apr 2024
ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3D Dmitrii Zhemchuzhnikov Sergei Grudinin 27 1 0 28 Mar 2024
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation Chongkai Gao Zhengrong Xue Shuying Deng Tianhai Liang Siqi Yang Lin Shao Huazhe Xu 3DPC 34 10 0 28 Mar 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving Steffen Hagedorn Marcel Milich A. P. Condurache 38 4 0 17 Mar 2024
An intuitive multi-frequency feature representation for SO(3)-equivariant networks Dongwon Son Jaehyung Kim Sanghyeon Son Beomjoon Kim 3DPC 36 1 0 15 Mar 2024
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields Yi-Lun Liao Tess E. Smidt Abhishek Das DiffM AI4CE 32 12 0 14 Mar 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications Jiaqi Han Jiacheng Cen Liming Wu Zongzhao Li Xiangzhe Kong ... Zhewei Wei Deli Zhao Yu Rong Wenbing Huang Wenbing Huang AI4CE 34 20 0 01 Mar 2024
Clifford-Steerable Convolutional Neural Networks Maksim Zhdanov David Ruhe Maurice Weiler Ana Lucic Johannes Brandstetter Patrick Forré 47 12 0 22 Feb 2024
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling Phong C. H. Nguyen Xinlun Cheng Shahab Azarfar P. Seshadri Y. Nguyen Munho Kim Sanghun Choi H. Udaykumar Stephen Seung-Yeob Baek AI4CE PINN 37 1 0 19 Feb 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators Benedikt Alkin Andreas Fürst Simon Schmid Lukas Gruber Markus Holzleitner Johannes Brandstetter PINN AI4CE 42 8 0 19 Feb 2024
Approximately Piecewise E(3) Equivariant Point Networks Matan Atzmon Jiahui Huang Francis Williams Or Litany 3DPC 26 1 0 13 Feb 2024
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics Artur P. Toshev Jonas A. Erbesdobler Nikolaus A. Adams Johannes Brandstetter AI4CE 40 4 0 09 Feb 2024
Equivariant Symmetry Breaking Sets YuQing Xie Tess E. Smidt 25 4 0 05 Feb 2024
Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials I. Grega Ilyes Batatia Gábor Csányi Sri Karlapati Vikram S. Deshpande 14 3 0 30 Jan 2024