Gauge Equivariant Convolutional Networks and the Icosahedral CNN

11 February 2019

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

50 / 258 papers shown

Title
A Survey of Sound Source Localization with Deep Learning Methods Pierre-Amaury Grumiaux Srdjan Kitić Laurent Girin Alexandre Guérin 25 246 0 08 Sep 2021
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors Haiping Wang Yuan-Bin Liu Zhen Dong Wenping Wang 3DPC 27 124 0 01 Sep 2021
Redatuming physical systems using symmetric autoencoders P. Bharadwaj Matthew T.C. Li L. Demanet 20 4 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 11 0 0 30 Jul 2021
6DCNN with roto-translational convolution filters for volumetric data processing Dmitrii Zhemchuzhnikov Ilia Igashov Sergei Grudinin 3DPC 22 2 0 26 Jul 2021
ASOD60K: An Audio-Induced Salient Object Detection Dataset for Panoramic Videos Yi Zhang 13 7 0 24 Jul 2021
Learning to Transfer: A Foliated Theory Janith C. Petangoda M. Deisenroth N. Monk 11 0 0 22 Jul 2021
OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression Navid Mahmoudian Bidgoli Roberto G. de A. Azevedo Thomas Maugey A. Roumy P. Frossard 23 13 0 19 Jul 2021
Equivariant Manifold Flows Isay Katsman Aaron Lou Derek Lim Qingxuan Jiang Ser-Nam Lim Christopher De Sa AI4CE 15 24 0 19 Jul 2021
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain Lukas Schott Julius von Kügelgen Frederik Trauble Peter V. Gehler Chris Russell Matthias Bethge Bernhard Schölkopf Francesco Locatello Wieland Brendel OOD DRL 35 66 0 17 Jul 2021
Universal approximation and model compression for radial neural networks I. Ganev Twan van Laarhoven Robin G. Walters 19 8 0 06 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 37 64 0 02 Jul 2021
Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh Na Li Yao Liu 28 0 0 21 Jun 2021
Steerable Partial Differential Operators for Equivariant Neural Networks Erik Jenner Maurice Weiler 15 27 0 18 Jun 2021
Category Theory in Machine Learning Dan Shiebler Bruno Gavranović Paul W. Wilson 11 31 0 13 Jun 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 23 19 0 12 Jun 2021
Scalars are universal: Equivariant machine learning, structured like classical physics Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 24 130 0 11 Jun 2021
SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention Alexander Shmakov M. Fenton Ta-Wei Ho Shih-Chieh Hsu D. Whiteson Pierre Baldi 12 32 0 07 Jun 2021
DISCO: accurate Discrete Scale Convolutions Ivan Sosnovik A. Moskalev A. Smeulders 15 31 0 04 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 17 86 0 04 Jun 2021
Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery Pourya Shamsolmoali Masoumeh Zareapoor Jocelyn Chanussot Huiyu Zhou Jie Yang ObjD 19 35 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
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 19 24 0 12 May 2021
Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling Anadi Chaman Ivan Dokmanić 16 8 0 09 May 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 17 20 0 22 Apr 2021
Aligning Latent and Image Spaces to Connect the Unconnectable Ivan Skorokhodov Grigorii Sotnikov Mohamed Elhoseiny DiffM 19 78 0 14 Apr 2021
Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph Chen Cai Nikolaos N. Vlassis Lucas Magee R. Ma Zeyu Xiong B. Bahmani T. Wong Yusu Wang WaiChing Sun 19 16 0 12 Apr 2021
Autoequivariant Network Search via Group Decomposition Sourya Basu A. Magesh Harshit Yadav L. Varshney 16 6 0 10 Apr 2021
Field Convolutions for Surface CNNs Thomas W. Mitchel Vladimir G. Kim Michael Kazhdan 13 19 0 08 Apr 2021
PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs Zhengyang Shen Tiancheng Shen Zhouchen Lin Jinwen Ma 8 18 0 08 Apr 2021
Generalization capabilities of translationally equivariant neural networks S. S. Krishna Chaitanya Bulusu Matteo Favoni A. Ipp David I. Müller Daniel Schuh AI4CE 22 20 0 26 Mar 2021
Equivariant Point Network for 3D Point Cloud Analysis Haiwei Chen Shichen Liu Weikai Chen Hao Li 3DPC 11 99 0 25 Mar 2021
Concentric Spherical GNN for 3D Representation Learning James Fox Bo-Lu Zhao S. Rajamanickam R. Ramprasad Le Song 3DPC 8 4 0 18 Mar 2021
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers A. Chattopadhyay M. Mustafa P. Hassanzadeh Eviatar Bach K. Kashinath AI4CE 16 25 0 16 Mar 2021
Rotation-Equivariant Deep Learning for Diffusion MRI Philip Muller Vladimir Golkov V. Tomassini Daniel Cremers DiffM MedIm 17 28 0 13 Feb 2021
Spherical Message Passing for 3D Graph Networks Yi Liu Limei Wang Meng Liu Xuan Zhang Bora Oztekin Shuiwang Ji GNN 19 197 0 09 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
Kähler Geometry of Quiver Varieties and Machine Learning G. Jeffreys Siu-Cheong Lau 8 5 0 27 Jan 2021
Introduction to Normalizing Flows for Lattice Field Theory M. S. Albergo D. Boyda D. Hackett G. Kanwar Kyle Cranmer S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 21 58 0 20 Jan 2021
InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation Yaohui Wang F. Brémond A. Dantcheva VGen GAN 142 25 0 08 Jan 2021
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting Haitao Lin Zhangyang Gao Yongjie Xu Lirong Wu Ling Li Stan. Z. Li AI4TS 119 72 0 04 Jan 2021
DeepSphere: a graph-based spherical CNN M. Defferrard Martino Milani Frédérick Gusset Nathanael Perraudin GNN 3DPC 13 85 0 30 Dec 2020
Interpretable Image Clustering via Diffeomorphism-Aware K-Means Romain Cosentino Randall Balestriero Yanis Bahroun Anirvan M. Sengupta Richard Baraniuk B. Aazhang 16 0 0 16 Dec 2020
Disentangling images with Lie group transformations and sparse coding Ho Yin Chau Frank Qiu Yubei Chen Bruno A. Olshausen 11 12 0 11 Dec 2020
Rotation-Invariant Autoencoders for Signals on Spheres Suhas Lohit Shubhendu Trivedi MDE 19 5 0 08 Dec 2020
Learning Equivariant Representations Carlos Esteves BDL 22 0 0 04 Dec 2020
A Temporally Consistent Image-based Sun Tracking Algorithm for Solar Energy Forecasting Applications Quentin Paletta Joan Lasenby 11 8 0 02 Dec 2020
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features Cheng Sun Min Sun Hwann-Tzong Chen 3DV 11 131 0 23 Nov 2020
Learning Sub-Patterns in Piecewise Continuous Functions Anastasis Kratsios Behnoosh Zamanlooy 12 10 0 29 Oct 2020