Geometric Deep Learning and Equivariant Neural Networks

28 May 2021

Christoffer Petersson

Daniel Persson

MLT

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Papers citing "Geometric Deep Learning and Equivariant Neural Networks"

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Title
Stronger ViTs With Octic Equivariance David Nordström Johan Edstedt Fredrik Kahl Georg Bökman ViT 82 0 0 21 May 2025
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations Andrzej Perzanowski Tony Lindeberg 90 1 0 17 Sep 2024
Equivariant Neural Tangent Kernels Philipp Misof Pan Kessel Jan E. Gerken 95 0 0 10 Jun 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 59 3 0 25 Jan 2024
$Variational inference of fractional Brownian motion with linear computational complexity$ Variational inference of fractional Brownian motion with linear computational complexity Hippolyte Verdier Franccois Laurent Alhassan Cassé Christian L. Vestergaard Jean-Baptiste Masson 66 6 0 15 Mar 2022
Equivariance versus Augmentation for Spherical Images Jan E. Gerken Oscar Carlsson Hampus Linander F. Ohlsson Christoffer Petersson Daniel Persson 3DPC 40 18 0 08 Feb 2022
E(n) Equivariant Normalizing Flows Victor Garcia Satorras Emiel Hoogeboom F. Fuchs Ingmar Posner Max Welling BDL 51 173 0 19 May 2021
Homogeneous vector bundles and $G$ -equivariant convolutional neural networks J. Aronsson 37 24 0 12 May 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 252 1,137 0 27 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 93 193 0 19 Apr 2021
Noether: The More Things Change, the More Stay the Same Grzegorz Gluch R. Urbanke 34 17 0 12 Apr 2021
PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs Zhengyang Shen Tiancheng Shen Zhouchen Lin Jinwen Ma 32 20 0 08 Apr 2021
Concentric Spherical GNN for 3D Representation Learning James Fox Bo Zhao S. Rajamanickam R. Ramprasad Le Song 3DPC 26 4 0 18 Mar 2021
Provably Strict Generalisation Benefit for Equivariant Models Bryn Elesedy Sheheryar Zaidi AI4CE 24 85 0 20 Feb 2021
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data Axel Elaldi Neel Dey Heejong Kim Guido Gerig 35 18 0 17 Feb 2021
Rotation-Equivariant Deep Learning for Diffusion MRI Philip Muller Vladimir Golkov V. Tomassini Daniel Cremers DiffM MedIm 25 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 70 23 0 04 Feb 2021
DeepSphere: a graph-based spherical CNN M. Defferrard Martino Milani Frédérick Gusset Nathanael Perraudin GNN 3DPC 30 85 0 30 Dec 2020
Lattice gauge equivariant convolutional neural networks Matteo Favoni A. Ipp David I. Müller Daniel Schuh 23 45 0 23 Dec 2020
Gauge equivariant neural networks for quantum lattice gauge theories Di Luo Giuseppe Carleo B. Clark J. Stokes 20 47 0 09 Dec 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels Leon Lang Maurice Weiler 56 56 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 36 34 0 09 Oct 2020
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 42 69 0 18 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 105 69 0 02 Jun 2020
Group Equivariant Generative Adversarial Networks Neel Dey Antong Chen S. Ghafurian GAN 30 33 0 04 May 2020
Theoretical Aspects of Group Equivariant Neural Networks Carlos Esteves 27 41 0 10 Apr 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 121 130 0 11 Mar 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 160 426 0 10 Mar 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 54 91 0 07 Feb 2020
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 58 516 0 19 Nov 2019
Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks B. Venkatesh Tosha Shah Antong Chen S. Ghafurian GAN MedIm 17 10 0 14 Oct 2019
Hamiltonian Generative Networks Peter Toth Danilo Jimenez Rezende Andrew Jaegle S. Racanière Aleksandar Botev I. Higgins BDL DRL AI4CE GAN 33 216 0 30 Sep 2019
Covariance in Physics and Convolutional Neural Networks Miranda C. N. Cheng V. Anagiannis Maurice Weiler P. D. Haan Taco S. Cohen Max Welling 82 18 0 06 Jun 2019
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 39 876 0 04 Jun 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 77 408 0 11 Feb 2019
Spherical CNNs on Unstructured Grids Chiyu “Max” Jingwei Huang K. Kashinath Lawrence Berkeley Nat’l Lab P. Marcus Matthias Niessner 43 182 0 07 Jan 2019
Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning M. Bergomi Patrizio Frosini D. Giorgi Nicola Quercioli AI4CE 40 48 0 31 Dec 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 186 313 0 05 Nov 2018
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications Nathanael Perraudin M. Defferrard T. Kacprzak R. Sgier 42 169 0 29 Oct 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 58 501 0 06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 67 267 0 24 Jun 2018
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation Mengzhao Chen Orhan Firat Ankur Bapna Melvin Johnson Wolfgang Macherey ... Niki Parmar M. Schuster Zhifeng Chen Yonghui Wu Macduff Hughes AIMat 40 457 0 26 Apr 2018
CubeNet: Equivariance to 3D Rotation and Translation Daniel E. Worrall Gabriel J. Brostow 3DPC 37 142 0 12 Apr 2018
3D G-CNNs for Pulmonary Nodule Detection M. Winkels Taco S. Cohen MedIm 3DPC 40 107 0 12 Apr 2018
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis Erik J. Bekkers Maxime W. Lafarge M. Veta K. Eppenhof J. Pluim R. Duits MedIm 34 173 0 10 Apr 2018
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks) Taco S. Cohen Mario Geiger Maurice Weiler 56 46 0 28 Mar 2018
HexaConv Emiel Hoogeboom Jorn W. T. Peters Taco S. Cohen Max Welling 32 56 0 06 Mar 2018
N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials Risi Kondor AI4CE 47 107 0 05 Mar 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 65 959 0 22 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 81 496 0 11 Feb 2018