DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications

29 October 2018

Papers citing "DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications"

30 / 30 papers shown

Title
Spherical Tree-Sliced Wasserstein Distance Hoang V. Tran Thanh T. Chu K. Nguyen Trang Pham Tam Le T. Nguyen OT 61 3 0 14 Mar 2025
Equivariant Neural Tangent Kernels Philipp Misof Pan Kessel Jan E. Gerken 61 0 0 10 Jun 2024
Estimating Depth of Monocular Panoramic Image with Teacher-Student Model Fusing Equirectangular and Spherical Representations Jingguo Liu Yijun Xu Shigang Li Jianfeng Li MDE 40 3 0 27 May 2024
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh Matthias Karlbauer Nathaniel Cresswell-Clay Dale Durran Raul A Moreno Thorsten Kurth Boris Bonev Noah D. Brenowitz Martin Volker Butz MDE 28 20 0 11 Sep 2023
HEAL-SWIN: A Vision Transformer On The Sphere Oscar Carlsson Jan E. Gerken H. Linander Heiner Spiess F. Ohlsson Christoffer Petersson Daniel Persson ViT MedIm 29 6 0 14 Jul 2023
Scaling Spherical CNNs Carlos Esteves Jean-Jacques E. Slotine A. Makadia GNN LRM 24 14 0 08 Jun 2023
$$E(3) \times SO(3)$-Equivariant Networks for Spherical Deconvolution in Diffusion MRI$ $E(3) \times SO(3)$ -Equivariant Networks for Spherical Deconvolution in Diffusion MRI Axel Elaldi Guido Gerig Neel Dey MedIm 19 3 0 12 Apr 2023
Spherical Sliced-Wasserstein Clément Bonet P. Berg Nicolas Courty Françcois Septier Lucas Drumetz Minh Pham 30 27 0 17 Jun 2022
GORDA: Graph-based ORientation Distribution Analysis of SLI scatterometry Patterns of Nerve Fibres Esteban Vaca M. Menzel Katrin Amunts M. Axer Timo Dickscheid 16 1 0 12 Apr 2022
Machine Learning and Cosmology C. Dvorkin S. Mishra-Sharma Brian D. Nord V. A. Villar Camille Avestruz ... A. Ćiprijanović Andrew J. Connolly L. Garrison G. Narayan F. Villaescusa-Navarro AI4CE 29 12 0 15 Mar 2022
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations Neng Shi Jiayi Xu Skylar W. Wurster Hanqi Guo J. Woodring L. V. Roekel Han-Wei Shen AI4TS AI4CE 34 32 0 18 Feb 2022
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification A. Ćiprijanović Diana Kafkes Gregory F. Snyder F. Sánchez G. Perdue K. Pedro Brian D. Nord Sandeep Madireddy Stefan M. Wild AAML 39 15 0 28 Dec 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 C. Pehlevan 18 5 0 14 Oct 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 31 19 0 12 Jun 2021
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting Haitao Lin Zhangyang Gao Yongjie Xu Lirong Wu Ling Li Stan. Z. Li AI4TS 127 72 0 04 Jan 2021
Decimated Framelet System on Graphs and Fast G-Framelet Transforms Xuebin Zheng Bingxin Zhou Yu Guang Wang Xiaosheng Zhuang 40 35 0 12 Dec 2020
Planet cartography with neural learned regularization A. Ramos E. Pallé 8 3 0 08 Dec 2020
Conditional Generative Modeling via Learning the Latent Space Sameera Ramasinghe Kanchana Ranasinghe Salman Khan Nick Barnes Stephen Gould BDL 31 9 0 07 Oct 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
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 19 69 0 18 Jun 2020
DeepRetinotopy: Predicting the Functional Organization of Human Visual Cortex from Structural MRI Data using Geometric Deep Learning Fernanda L. Ribeiro S. Bollmann A. M. Puckett MedIm 13 15 0 26 May 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 102 127 0 11 Mar 2020
Identifying nearby sources of ultra-high-energy cosmic rays with deep learning O. Kalashev M. Pshirkov M. Zotov 6 12 0 02 Dec 2019
DeepSphere: towards an equivariant graph-based spherical CNN M. Defferrard Nathanael Perraudin T. Kacprzak R. Sgier GNN 26 24 0 08 Apr 2019
HexagDLy - Processing hexagonally sampled data with CNNs in PyTorch C. Steppa T. Holch 16 37 0 05 Mar 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 58 402 0 11 Feb 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018
DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks J. Caldeira W. L. K. Wu Brian D. Nord Camille Avestruz Shubhendu Trivedi K. Story 25 63 0 02 Oct 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016