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Gauge Equivariant Convolutional Networks and the Icosahedral CNN

International Conference on Machine Learning (ICML), 2019

11 February 2019

Papers citing "Gauge Equivariant Convolutional Networks and the Icosahedral CNN"

50 / 276 papers shown

Title
Generalization capabilities of neural networks in lattice applications S. S. Krishna Chaitanya Bulusu Matteo Favoni A. Ipp David I. Müller Daniel Schuh AI4CE 79 0 0 23 Dec 2021
Preserving gauge invariance in neural networksEPJ Web of Conferences (EPJ Web Conf.), 2021 Matteo Favoni A. Ipp David I. Müller Daniel Schuh 91 1 0 21 Dec 2021
Balancing Fairness and Robustness via Partial Invariance Moulik Choraria Ibtihal Ferwana Ankur Mani Lav Varshney OOD 173 1 0 17 Dec 2021
Co-domain Symmetry for Complex-Valued Deep Learning Utkarsh Singhal Yifei Xing Stella X. Yu 205 14 0 02 Dec 2021
360MonoDepth: High-Resolution 360° Monocular Depth Estimation M. Rey-Area Mingze Yuan Christian Richardt MDE 388 94 0 30 Nov 2021
The Physics of Machine Learning: An Intuitive Introduction for the Physical Scientist S. Alexander Sarah Bawabe Batia Friedman-Shaw M. Toomey PINN AI4CE 94 2 0 27 Nov 2021
Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image Joshua Mitton Chaitanya Kaul Roderick Murray-Smith 3DH 166 0 0 25 Nov 2021
ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups Hugo Aguettaz Erik J. Bekkers M. Defferrard GNN 109 1 0 23 Nov 2021
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds R. Wiersma Ahmad Nasikun E. Eisemann Klaus Hildebrandt 3DPC 405 20 0 16 Nov 2021
Enabling equivariance for arbitrary Lie groupsComputer Vision and Pattern Recognition (CVPR), 2021 L. MacDonald Sameera Ramasinghe Simon Lucey AAML 186 27 0 16 Nov 2021
Learning Augmentation Distributions using Transformed Risk Minimization Evangelos Chatzipantazis Stefanos Pertigkiozoglou Kostas Daniilidis Guang Cheng 248 16 0 16 Nov 2021
Lattice gauge symmetry in neural networks Matteo Favoni A. Ipp David I. Müller Daniel Schuh AI4CE 128 0 0 08 Nov 2021
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels M. Hutchinson Alexander Terenin Viacheslav Borovitskiy So Takao Yee Whye Teh M. Deisenroth 326 27 0 27 Oct 2021
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes Sara Hahner Jochen Garcke AI4CE 154 18 0 18 Oct 2021
Augmenting Imitation Experience via Equivariant Representations Dhruv Sharma Ali Kuwajerwala Florian Shkurti 175 2 0 14 Oct 2021
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 326 6 0 14 Oct 2021
A simple equivariant machine learning method for dynamics based on scalars Weichi Yao Kate Storey-Fisher D. Hogg Soledad Villar AI4CE 352 9 0 07 Oct 2021
Turing approximations, toric isometric embeddings & manifold convolutions P. Suárez-Serrato 134 1 0 05 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 272 71 0 05 Oct 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 283 99 0 15 Sep 2021
A Survey of Sound Source Localization with Deep Learning MethodsJournal of the Acoustical Society of America (JASA), 2021 Pierre-Amaury Grumiaux Srdjan Kitić Laurent Girin Alexandre Guérin 234 311 0 08 Sep 2021
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant DescriptorsACM Multimedia (ACM MM), 2021 Haiping Wang Yuan Liu Zhen Dong Wenping Wang 3DPC 222 160 0 01 Sep 2021
Redatuming physical systems using symmetric autoencodersPhysical Review Research (Phys. Rev. Res.), 2021 P. Bharadwaj Matthew T.C. Li L. Demanet 156 6 0 05 Aug 2021
Surrogate Modelling for Injection Molding Processes using Machine Learning A. Uglov S. Nikolaev Sergei D. Belov D. Padalitsa Tatiana Greenkina Marco San-Biagio Fabio Cacciatori AI4CE 62 0 0 30 Jul 2021
6DCNN with roto-translational convolution filters for volumetric data processingAAAI Conference on Artificial Intelligence (AAAI), 2021 Dmitrii Zhemchuzhnikov Ilia Igashov Sergei Grudinin 3DPC 245 2 0 26 Jul 2021
ASOD60K: An Audio-Induced Salient Object Detection Dataset for Panoramic Videos Yi Zhang 210 8 0 24 Jul 2021
Learning to Transfer: A Foliated Theory Janith C. Petangoda M. Deisenroth N. Monk 119 0 0 22 Jul 2021
OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compressionIEEE Transactions on Image Processing (TIP), 2021 Navid Mahmoudian Bidgoli Roberto G. de A. Azevedo Thomas Maugey A. Roumy P. Frossard 260 18 0 19 Jul 2021
Equivariant Manifold FlowsNeural Information Processing Systems (NeurIPS), 2021 Isay Katsman Aaron Lou Derek Lim Qingxuan Jiang Ser-Nam Lim Christopher De Sa AI4CE 118 26 0 19 Jul 2021
Visual Representation Learning Does Not Generalize Strongly Within the Same DomainInternational Conference on Learning Representations (ICLR), 2021 Lukas Schott Julius von Kügelgen Frederik Trauble Peter V. Gehler Chris Russell Matthias Bethge Bernhard Schölkopf Francesco Locatello Wieland Brendel OOD DRL 371 77 0 17 Jul 2021
Universal approximation and model compression for radial neural networks I. Ganev Twan van Laarhoven Robin Walters 268 10 0 06 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 458 82 0 02 Jul 2021
Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh Na Li Yao Liu 81 0 0 21 Jun 2021
Steerable Partial Differential Operators for Equivariant Neural NetworksInternational Conference on Learning Representations (ICLR), 2021 Erik Jenner Maurice Weiler 227 32 0 18 Jun 2021
Category Theory in Machine Learning Dan Shiebler Bruno Gavranović Paul W. Wilson 146 39 0 13 Jun 2021
Equivariant Networks for Pixelized SpheresInternational Conference on Machine Learning (ICML), 2021 Mehran Shakerinava Siamak Ravanbakhsh 3DPC 197 19 0 12 Jun 2021
Scalars are universal: Equivariant machine learning, structured like classical physicsNeural Information Processing Systems (NeurIPS), 2021 Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 309 149 0 11 Jun 2021
SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving AttentionSciPost Physics (SciPost Phys.), 2021 Alexander Shmakov M. Fenton Ta-Wei Ho Shih-Chieh Hsu D. Whiteson Pierre Baldi 160 37 0 07 Jun 2021
DISCO: accurate Discrete Scale ConvolutionsBritish Machine Vision Conference (BMVC), 2021 Ivan Sosnovik A. Moskalev A. Smeulders 189 38 0 04 Jun 2021
SE(3)-equivariant prediction of molecular wavefunctions and electronic densitiesNeural Information Processing Systems (NeurIPS), 2021 Oliver T. Unke Mihail Bogojeski M. Gastegger Mario Geiger Tess E. Smidt Klaus-Robert Muller 194 108 0 04 Jun 2021
Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing ImageryIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021 Pourya Shamsolmoali Masoumeh Zareapoor Jocelyn Chanussot Huiyu Zhou Jie Yang ObjD 204 43 0 02 Jun 2021
Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators Anindita Maiti Keegan Stoner James Halverson 138 26 0 01 Jun 2021
Geometric Deep Learning and Equivariant Neural NetworksArtificial Intelligence Review (AIR), 2021 Jan E. Gerken J. Aronsson Oscar Carlsson Hampus Linander F. Ohlsson Christoffer Petersson Daniel Persson MLT 262 86 0 28 May 2021
Homogeneous vector bundles and $G$ -equivariant convolutional neural networksSampling Theory, Signal Processing, and Data Analysis (SAMPTA), 2021 J. Aronsson 203 26 0 12 May 2021
Truly shift-equivariant convolutional neural networks with adaptive polyphase upsamplingAsilomar Conference on Signals, Systems and Computers (ACSSC), 2021 Anadi Chaman Ivan Dokmanić 152 11 0 09 May 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering TransformsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 A. Saydjari D. Finkbeiner 138 22 0 22 Apr 2021
Aligning Latent and Image Spaces to Connect the UnconnectableIEEE International Conference on Computer Vision (ICCV), 2021 Ivan Skorokhodov Grigorii Sotnikov Mohamed Elhoseiny DiffM 138 93 0 14 Apr 2021
Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graphInternational Journal for Multiscale Computational Engineering (IJMCE), 2021 Chen Cai Nikolaos N. Vlassis Lucas Magee R. Ma Zeyu Xiong B. Bahmani T. Wong Yusu Wang WaiChing Sun 141 17 0 12 Apr 2021
Autoequivariant Network Search via Group Decomposition Sourya Basu A. Magesh Harshit Yadav Lav Varshney 185 6 0 10 Apr 2021
Field Convolutions for Surface CNNsIEEE International Conference on Computer Vision (ICCV), 2021 Thomas W. Mitchel Vladimir G. Kim Michael Kazhdan 247 24 0 08 Apr 2021