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
Equivariant neural networks for inverse problems E. Celledoni Matthias Joachim Ehrhardt Christian Etmann B. Owren Carola-Bibiane Schönlieb Ferdia Sherry MedIm AI4CE 6 26 0 23 Feb 2021
Shape-Tailored Deep Neural Networks Naeemullah Khan Angira Sharma G. Sundaramoorthi Philip H. S. Torr 3DV 17 0 0 16 Feb 2021
Rotation-Equivariant Deep Learning for Diffusion MRI Philip Muller Vladimir Golkov V. Tomassini Daniel Cremers DiffM MedIm 17 28 0 13 Feb 2021
Equivariant message passing for the prediction of tensorial properties and molecular spectra Kristof T. Schütt Oliver T. Unke M. Gastegger 27 511 0 05 Feb 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials Simon L. Batzner Albert Musaelian Lixin Sun Mario Geiger J. Mailoa M. Kornbluth N. Molinari Tess E. Smidt Boris Kozinsky 203 1,238 0 08 Jan 2021
LieTransformer: Equivariant self-attention for Lie Groups M. Hutchinson Charline Le Lan Sheheryar Zaidi Emilien Dupont Yee Whye Teh Hyunjik Kim 17 111 0 20 Dec 2020
Classification of Single-View Object Point Clouds Zelin Xu Ke Chen Kangjun Liu Changxing Ding Yaowei Wang K. Jia 3DPC 20 8 0 18 Dec 2020
ATOM3D: Tasks On Molecules in Three Dimensions Raphael J. L. Townshend M. Vögele Patricia Suriana Alexander Derry Alexander Powers ... Brandon M. Anderson Stephan Eismann Risi Kondor Russ Altman R. Dror AI4CE 6 117 0 07 Dec 2020
What is a meaningful representation of protein sequences? N. Detlefsen Søren Hauberg Wouter Boomsma 8 111 0 28 Nov 2020
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes P. Holderrieth M. Hutchinson Yee Whye Teh BDL 28 30 0 25 Nov 2020
Symmetry-Aware Actor-Critic for 3D Molecular Design G. Simm Robert Pinsler Gábor Csányi José Miguel Hernández-Lobato AI4CE 26 64 0 25 Nov 2020
Spherical convolutions on molecular graphs for protein model quality assessment Ilia Igashov Nikita Pavlichenko Sergei Grudinin 24 14 0 16 Nov 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels Leon Lang Maurice Weiler 27 53 0 21 Oct 2020
Machine Learning Force Fields Oliver T. Unke Stefan Chmiela H. E. Sauceda M. Gastegger I. Poltavsky Kristof T. Schütt A. Tkatchenko K. Müller AI4CE 25 886 0 14 Oct 2020
Physical invariance in neural networks for subgrid-scale scalar flux modeling Hugo Frezat G. Balarac Julien Le Sommer Ronan Fablet Redouane Lguensat AI4CE 29 44 0 09 Oct 2020
On the Universality of Rotation Equivariant Point Cloud Networks Nadav Dym Haggai Maron 3DPC 27 78 0 06 Oct 2020
Group Equivariant Stand-Alone Self-Attention For Vision David W. Romero Jean-Baptiste Cordonnier MDE 18 57 0 02 Oct 2020
Physics-Constrained Predictive Molecular Latent Space Discovery with Graph Scattering Variational Autoencoder Navid Shervani-Tabar N. Zabaras BDL DRL 13 3 0 29 Sep 2020
Robust Object Classification Approach using Spherical Harmonics Ayman Mukhaimar Ruwan Tennakoon Chow Yin Lai R. Hoseinnezhad A. Bab-Hadiashar 3DPC 16 6 0 02 Sep 2020
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology Maxime W. Lafarge J. Pluim M. Veta DRL 16 8 0 26 Aug 2020
Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties Benjamin Kurt Miller Mario Geiger Tess E. Smidt Frank Noé 16 75 0 19 Aug 2020
Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks Bowen Jing Vinay Prabhu Angela Gu John Whaley 9 2 0 04 Aug 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning Elise van der Pol Daniel E. Worrall H. V. Hoof F. Oliehoek Max Welling BDL AI4CE 13 155 0 30 Jun 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath A. P. Condurache ViT AI4CE 27 9 0 30 Jun 2020
Geometric Prediction: Moving Beyond Scalars Raphael J. L. Townshend Brent Townshend Stephan Eismann R. Dror 6 7 0 25 Jun 2020
Disentangling by Subspace Diffusion David Pfau I. Higgins Aleksandar Botev S. Racanière DiffM DRL 11 36 0 23 Jun 2020
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 19 68 0 18 Jun 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 45 664 0 18 Jun 2020
Embed Me If You Can: A Geometric Perceptron Pavlo Melnyk M. Felsberg Mårten Wadenbäck 3DPC 6 14 0 11 Jun 2020
Standardised convolutional filtering for radiomics A. Depeursinge Vincent Andrearczyk P. Whybra J. V. Griethuysen Henning Muller Roger Schaer M. Vallières A. Zwanenburg 8 36 0 09 Jun 2020
Lorentz Group Equivariant Neural Network for Particle Physics A. Bogatskiy Brandon M. Anderson Jan T. Offermann M. Roussi David W. Miller Risi Kondor AI4CE 13 136 0 08 Jun 2020
Structure preserving deep learning E. Celledoni Matthias Joachim Ehrhardt Christian Etmann R. McLachlan B. Owren Carola-Bibiane Schönlieb Ferdia Sherry AI4CE 13 43 0 05 Jun 2020
Computing Representations for Lie Algebraic Networks N. Shutty Casimir Wierzynski 13 2 0 01 Jun 2020
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks Masanobu Horie Naoki Morita Toshiaki Hishinuma Yushi Ihara Naoto Mitsume GNN 8 23 0 13 May 2020
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis Valentin Oreiller Vincent Andrearczyk Julien Fageot John O. Prior A. Depeursinge 8 1 0 28 Apr 2020
Theoretical Aspects of Group Equivariant Neural Networks Carlos Esteves 19 41 0 10 Apr 2020
The general theory of permutation equivarant neural networks and higher order graph variational encoders Erik H. Thiede Truong Son-Hy Risi Kondor 19 35 0 08 Apr 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects Zewen Li Wenjie Yang Shouheng Peng Fan Liu HAI 3DV 54 2,595 0 01 Apr 2020
Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning Marcel F. Langer Alex Goessmann M. Rupp AI4CE 20 92 0 26 Mar 2020
Local Rotation Invariance in 3D CNNs Vincent Andrearczyk Julien Fageot Valentin Oreiller X. Montet A. Depeursinge 32 23 0 19 Mar 2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis Xianzhi Li Ruihui Li Guangyong Chen Chi-Wing Fu Daniel Cohen-Or Pheng-Ann Heng 3DPC 114 109 0 16 Mar 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 100 127 0 11 Mar 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 40 846 0 06 Mar 2020
A Permutation-Equivariant Neural Network Architecture For Auction Design Jad Rahme Samy Jelassi Joan Bruna S. M. Weinberg 10 45 0 02 Mar 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 17 316 0 25 Feb 2020
Set2Graph: Learning Graphs From Sets Hadar Serviansky Nimrod Segol Jonathan Shlomi Kyle Cranmer Eilam Gross Haggai Maron Y. Lipman PINN GNN 6 35 0 20 Feb 2020
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis Maxime W. Lafarge Erik J. Bekkers J. Pluim R. Duits M. Veta MedIm 19 74 0 20 Feb 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 22 132 0 20 Feb 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 22 89 0 07 Feb 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas J. Guibas Federico Tombari 3DPC 20 88 0 27 Dec 2019