Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network

24 June 2018

Papers citing "Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network"

50 / 183 papers shown

Title
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? M. Farrell Blake Bordelon Shubhendu Trivedi Cengiz Pehlevan 18 5 0 14 Oct 2021
Implicit Bias of Linear Equivariant Networks Hannah Lawrence Kristian Georgiev A. Dienes B. Kiani AI4CE 40 14 0 12 Oct 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing Johannes Brandstetter Rob D. Hesselink Elise van der Pol Erik J. Bekkers Max Welling 17 229 0 06 Oct 2021
Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning Ziming Liu Yunyue Chen Yuanqi Du Max Tegmark PINN AI4CE 40 22 0 28 Sep 2021
Quantum algorithms for group convolution, cross-correlation, and equivariant transformations Grecia Castelazo Quynh T. Nguyen Giacomo De Palma Dirk Englund S. Lloyd B. Kiani 40 11 0 23 Sep 2021
Machine-learning hidden symmetries Ziming Liu Max Tegmark 48 52 0 20 Sep 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 78 81 0 15 Sep 2021
Differentiable Physics: A Position Piece Bharath Ramsundar Dilip Krishnamurthy V. Viswanathan PINN AI4CE 40 14 0 14 Sep 2021
6DCNN with roto-translational convolution filters for volumetric data processing Dmitrii Zhemchuzhnikov Ilia Igashov Sergei Grudinin 3DPC 27 2 0 26 Jul 2021
Geometric Deep Learning on Molecular Representations Kenneth Atz F. Grisoni G. Schneider AI4CE 34 287 0 26 Jul 2021
Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation Jeonghee Jo Bumju Kwak Byunghan Lee Sungroh Yoon 30 2 0 14 Jun 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 31 19 0 12 Jun 2021
Group Equivariant Subsampling Jin Xu Hyunjik Kim Tom Rainforth Yee Whye Teh 26 21 0 10 Jun 2021
VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds Monami Banerjee Rudrasis Chakraborty Jose J. Bouza B. Vemuri 36 11 0 05 Jun 2021
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities Oliver T. Unke Mihail Bogojeski M. Gastegger Mario Geiger Tess E. Smidt Klaus-Robert Muller 34 86 0 04 Jun 2021
Steerable 3D Spherical Neurons Pavlo Melnyk M. Felsberg Mårten Wadenbäck 3DPC LLMSV 21 5 0 02 Jun 2021
GemNet: Universal Directional Graph Neural Networks for Molecules Johannes Klicpera Florian Becker Stephan Günnemann AI4CE 39 435 0 02 Jun 2021
Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators Anindita Maiti Keegan Stoner James Halverson 23 20 0 01 Jun 2021
Informing Geometric Deep Learning with Electronic Interactions to Accelerate Quantum Chemistry Zhuoran Qiao Anders S. Christensen Matthew Welborn F. Manby Anima Anandkumar Thomas F. Miller 16 73 0 31 May 2021
Geometric Deep Learning and Equivariant Neural Networks Jan E. Gerken J. Aronsson Oscar Carlsson H. Linander F. Ohlsson Christoffer Petersson Daniel Persson MLT 13 66 0 28 May 2021
Homogeneous vector bundles and $G$ -equivariant convolutional neural networks J. Aronsson 29 24 0 12 May 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 120 316 0 25 Apr 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 33 20 0 22 Apr 2021
OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas Shivansh Rao Vikas Kumar Daniel Kifer C. Lee Giles A. Mali 3DPC 11 11 0 19 Apr 2021
PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs Zhengyang Shen Tiancheng Shen Zhouchen Lin Jinwen Ma 21 18 0 08 Apr 2021
Autobahn: Automorphism-based Graph Neural Nets Erik H. Thiede Wenda Zhou Risi Kondor GNN AI4CE 26 48 0 02 Mar 2021
Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks Jinlin Xiang S. Colburn A. Majumdar Eli Shlizerman 16 13 0 26 Feb 2021
Topological Obstructions to Autoencoding Joshua D. Batson C. G. Haaf Yonatan Kahn Daniel A. Roberts AI4CE 39 37 0 16 Feb 2021
Rotation-Equivariant Deep Learning for Diffusion MRI Philip Muller Vladimir Golkov V. Tomassini Daniel Cremers DiffM MedIm 22 28 0 13 Feb 2021
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs Jason D. McEwen C. Wallis Augustine N. Mavor-Parker 31 22 0 04 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 233 1,240 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 26 111 0 20 Dec 2020
Rotation-Invariant Autoencoders for Signals on Spheres Suhas Lohit Shubhendu Trivedi MDE 22 5 0 08 Dec 2020
Learning Equivariant Representations Carlos Esteves BDL 32 0 0 04 Dec 2020
$Squared $\ell_2$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations$ Squared $\ell_2$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations Haohan Wang Zeyi Huang Xindi Wu Eric P. Xing 29 2 0 25 Nov 2020
Symmetry-Aware Actor-Critic for 3D Molecular Design G. Simm Robert Pinsler Gábor Csányi José Miguel Hernández-Lobato AI4CE 29 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
Neural Star Domain as Primitive Representation Yuki Kawana Yusuke Mukuta Tatsuya Harada 3DV 11 25 0 21 Oct 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels Leon Lang Maurice Weiler 35 53 0 21 Oct 2020
Efficient Generalized Spherical CNNs Oliver Cobb C. Wallis Augustine N. Mavor-Parker Augustin Marignier Matthew Alexander Price Mayeul dÁvezac Jason D. McEwen 32 34 0 09 Oct 2020
On the Universality of Rotation Equivariant Point Cloud Networks Nadav Dym Haggai Maron 3DPC 38 79 0 06 Oct 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath A. P. Condurache ViT AI4CE 35 9 0 30 Jun 2020
Disentangling by Subspace Diffusion David Pfau I. Higgins Aleksandar Botev S. Racanière DiffM DRL 14 36 0 23 Jun 2020
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 30 69 0 18 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 29 136 0 08 Jun 2020
On Universalized Adversarial and Invariant Perturbations Sandesh Kamath Amit Deshpande K. Subrahmanyam AAML 22 0 0 08 Jun 2020
Equivariant Maps for Hierarchical Structures Renhao Wang Marjan Albooyeh Siamak Ravanbakhsh 3DPC 18 13 0 05 Jun 2020
Structure preserving deep learning E. Celledoni Matthias Joachim Ehrhardt Christian Etmann R. McLachlan B. Owren Carola-Bibiane Schönlieb Ferdia Sherry AI4CE 15 44 0 05 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 28 69 0 02 Jun 2020
Computing Representations for Lie Algebraic Networks N. Shutty Casimir Wierzynski 21 2 0 01 Jun 2020