Scaling Spherical CNNs

Scaling Spherical CNNs

8 June 2023

Jean-Jacques E. Slotine

Papers citing "Scaling Spherical CNNs"

17 / 17 papers shown

Title
Attention on the Sphere Boris Bonev Max Rietmann Andrea Paris Alberto Carpentieri Thorsten Kurth 19 0 0 16 May 2025
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation Yinshuang Xu Dian Chen Katherine Liu Sergey Zakharov Rares Ambrus Kostas Daniilidis Vitor Campagnolo Guizilini MDE 35 0 0 11 Nov 2024
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction Jongmin Lee Minsu Cho 46 1 0 01 Nov 2024
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 40 1 0 07 Oct 2024
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups Zakhar Shumaylov Peter Zaika James Rowbottom Ferdia Sherry Melanie Weber Carola-Bibiane Schönlieb 41 1 0 03 Oct 2024
EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 48 3 0 12 Aug 2024
ArchesWeather: An efficient AI weather forecasting model at 1.5° resolution Guillaume Couairon Christian Lessig A. Charantonis C. Monteleoni 27 1 0 23 May 2024
Potential Paradigm Shift in Hazard Risk Management: AI-Based Weather Forecast for Tropical Cyclone Hazards Kairui Feng Dazhi Xi Wei-Ying Ma Cao Wang Yuanlong Li Xuanhong Chen 28 1 0 29 Apr 2024
Reconstructing Historical Climate Fields With Deep Learning Nils Bochow Anna Poltronieri M. Rypdal Niklas Boers AI4Cl AI4CE 10 0 0 30 Nov 2023
WeatherBench 2: A benchmark for the next generation of data-driven global weather models S. Rasp Stephan Hoyer Alexander Merose I. Langmore Peter W. Battaglia ... Carla Bromberg Jared Sisk Luke Barrington Aaron Bell Fei Sha AI4Cl 30 107 0 29 Aug 2023
Inference from Real-World Sparse Measurements Arnaud Pannatier Kyle Matoba F. Fleuret AI4TS 20 0 0 20 Oct 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs Yi-Lun Liao Tess E. Smidt 83 216 0 23 Jun 2022
Global Extreme Heat Forecasting Using Neural Weather Models I. Lopez‐Gomez A. McGovern Shreya Agrawal Jason Hickey AI4Cl 35 36 0 23 May 2022
Möbius Convolutions for Spherical CNNs Thomas W. Mitchel Noam Aigerman Vladimir G. Kim Michael Kazhdan 25 11 0 28 Jan 2022
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
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
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016