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
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
Quiver neural networks I. Ganev Robin G. Walters 34 4 0 26 Jul 2022
e3nn: Euclidean Neural Networks Mario Geiger Tess E. Smidt 35 173 0 18 Jul 2022
Pure Transformers are Powerful Graph Learners Jinwoo Kim Tien Dat Nguyen Seonwoo Min Sungjun Cho Moontae Lee Honglak Lee Seunghoon Hong 38 187 0 06 Jul 2022
Spherical Channels for Modeling Atomic Interactions C. L. Zitnick Abhishek Das Adeesh Kolluru Janice Lan Muhammed Shuaibi Anuroop Sriram Zachary W. Ulissi Brandon M. Wood 79 58 0 29 Jun 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs Yi-Lun Liao Tess E. Smidt 80 213 0 23 Jun 2022
Warped Convolutional Networks: Bridge Homography to sl(3) algebra by Group Convolution Xinrui Zhan Yang Li Wenyu Liu Jianke Zhu 17 0 0 23 Jun 2022
An Algorithm for the SE(3)-Transformation on Neural Implicit Maps for Remapping Functions Yijun Yuan A. Nüchter 16 9 0 17 Jun 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces Yinshuang Xu Jiahui Lei Edgar Dobriban Kostas Daniilidis 23 19 0 16 Jun 2022
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields Ilyes Batatia D. P. Kovács G. Simm Christoph Ortner Gábor Csányi 36 441 0 15 Jun 2022
E2PN: Efficient SE(3)-Equivariant Point Network Minghan Zhu Maani Ghaffari W. A. Clark Huei Peng 3DPC 16 18 0 11 Jun 2022
Integrating Symmetry into Differentiable Planning with Steerable Convolutions Linfeng Zhao Xu Zhu Lingzhi Kong Robin G. Walters Lawson L. S. Wong 20 7 0 08 Jun 2022
Pre-training via Denoising for Molecular Property Prediction Sheheryar Zaidi Michael Schaarschmidt James Martens Hyunjik Kim Yee Whye Teh Alvaro Sanchez-Gonzalez Peter W. Battaglia Razvan Pascanu Jonathan Godwin DiffM AI4CE 15 121 0 31 May 2022
Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics Alexander Henkes Henning Wessels 3DV MedIm AI4CE 15 38 0 31 May 2022
VectorAdam for Rotation Equivariant Geometry Optimization Selena Ling Nicholas Sharp Alec Jacobson 23 16 0 26 May 2022
VNT-Net: Rotational Invariant Vector Neuron Transformers Hedi Zisling Andrei Sharf 3DPC 24 1 0 19 May 2022
What is an equivariant neural network? Lek-Heng Lim Bradley J. Nelson BDL FedML MLT 32 22 0 15 May 2022
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets Xingang Peng Shitong Luo Jiaqi Guan Qi Xie Jian-wei Peng Jianzhu Ma 25 176 0 15 May 2022
The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials Ilyes Batatia Simon L. Batzner D. P. Kovács Albert Musaelian G. Simm R. Drautz Christoph Ortner Boris Kozinsky Gábor Csányi 24 133 0 13 May 2022
REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics Mario Lino Stati Fotiadis Anil A. Bharath C. Cantwell AI4CE 16 3 0 05 May 2022
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction Beliz Gunel Arda Sahiner Arjun D Desai Akshay S. Chaudhari S. Vasanawala Mert Pilanci John M. Pauly MedIm 14 7 0 21 Apr 2022
A case for using rotation invariant features in state of the art feature matchers Georg Bökman Fredrik Kahl 12 36 0 21 Apr 2022
Relaxing Equivariance Constraints with Non-stationary Continuous Filters Tycho F. A. van der Ouderaa David W. Romero Mark van der Wilk 24 33 0 14 Apr 2022
Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics Albert Musaelian Simon L. Batzner A. Johansson Lixin Sun Cameron J. Owen M. Kornbluth Boris Kozinsky 19 425 0 11 Apr 2022
SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function Space Evangelos Chatzipantazis Stefanos Pertigkiozoglou Edgar Dobriban Kostas Daniilidis 3DPC 32 30 0 05 Apr 2022
Shape-Pose Disentanglement using SE(3)-equivariant Vector Neurons Oren Katzir Dani Lischinski Daniel Cohen-Or 3DPC 30 14 0 03 Apr 2022
Dimensionless machine learning: Imposing exact units equivariance Soledad Villar Weichi Yao D. Hogg Ben Blum-Smith Bianca Dumitrascu 16 26 0 02 Apr 2022
3D Equivariant Graph Implicit Functions Yunlu Chen Basura Fernando Hakan Bilen Matthias Nießner E. Gavves 3DPC 27 23 0 31 Mar 2022
Reflection and Rotation Symmetry Detection via Equivariant Learning Ahyun Seo Byungjin Kim Suha Kwak Minsu Cho 16 15 0 31 Mar 2022
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing Shitong Luo Jiahan Li Jiaqi Guan Yufeng Su Chaoran Cheng Jian-wei Peng Jianzhu Ma 3DPC 19 34 0 28 Mar 2022
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation Robin Wang Yibo Yang Dacheng Tao 3DPC 22 18 0 08 Mar 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation Minkai Xu Lantao Yu Yang Song Chence Shi Stefano Ermon Jian Tang BDL DiffM 18 495 0 06 Mar 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 19 7 0 25 Feb 2022
Learning Invariant Weights in Neural Networks Tycho F. A. van der Ouderaa Mark van der Wilk 22 21 0 25 Feb 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks Y. Yasuda R. Onishi 17 5 0 22 Feb 2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations Alexander Immer Tycho F. A. van der Ouderaa Gunnar Rätsch Vincent Fortuin Mark van der Wilk BDL 31 44 0 22 Feb 2022
Unsupervised Learning of Group Invariant and Equivariant Representations R. Winter Marco Bertolini Tuan Le Frank Noé Djork-Arné Clevert 25 40 0 15 Feb 2022
Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs Georg Kohl Li-Wei Chen Nils Thuerey 23 0 0 08 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath A. P. Condurache 25 8 0 08 Feb 2022
TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials Philipp Thölke Gianni de Fabritiis AI4CE 29 184 0 05 Feb 2022
Data-driven emergence of convolutional structure in neural networks Alessandro Ingrosso Sebastian Goldt 50 38 0 01 Feb 2022
Generative Coarse-Graining of Molecular Conformations Wujie Wang Minkai Xu Chen Cai Benjamin Kurt Miller Tess E. Smidt Yusu Wang Jian Tang Rafael Gómez-Bombarelli 21 34 0 28 Jan 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin G. Walters Rose Yu 29 73 0 28 Jan 2022
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes Rahul Sajnani A. Poulenard Jivitesh Jain Radhika Dua Leonidas J. Guibas Srinath Sridhar 3DPC 19 33 0 19 Jan 2022
Two-level Graph Neural Network Xing Ai Chengyu Sun Zhihong Zhang Edwin R. Hancock 9 10 0 03 Jan 2022
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? Ziwei Zhang Xin Eric Wang Zeyang Zhang Peng Cui Wenwu Zhu 3DPC 16 6 0 23 Dec 2021
Noether Networks: Meta-Learning Useful Conserved Quantities Ferran Alet Dylan D. Doblar Allan Zhou J. Tenenbaum Kenji Kawaguchi Chelsea Finn 67 26 0 06 Dec 2021
Frame Averaging for Equivariant Shape Space Learning Matan Atzmon Koki Nagano Sanja Fidler S. Khamis Y. Lipman FedML 28 13 0 03 Dec 2021
Implicit Equivariance in Convolutional Networks Naman Khetan Tushar Arora S. U. Rehman D. K. Gupta 31 4 0 28 Nov 2021
Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image Joshua Mitton Chaitanya Kaul Roderick Murray-Smith 3DH 18 0 0 25 Nov 2021