Scaling Spherical CNNs

Scaling Spherical CNNs

8 June 2023

Jean-Jacques E. Slotine

ArXiv (abs)PDF HTML Github (117★)

Papers citing "Scaling Spherical CNNs"

11 / 11 papers shown

Title
Attention on the Sphere Boris Bonev Max Rietmann Andrea Paris Alberto Carpentieri Thorsten Kurth 110 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 Andrei Ambrus Kostas Daniilidis Vitor Campagnolo Guizilini MDE 73 1 0 11 Nov 2024
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction Jongmin Lee Minsu Cho 96 1 0 01 Nov 2024
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 87 2 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 121 6 0 03 Oct 2024
EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 104 4 0 12 Aug 2024
ArchesWeather: An efficient AI weather forecasting model at 1.5° resolution Guillaume Couairon Christian Lessig A. Charantonis C. Monteleoni 67 2 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 59 1 0 29 Apr 2024
Reconstructing Historical Climate Fields With Deep Learning Nils Bochow Anna Poltronieri M. Rypdal Niklas Boers AI4Cl AI4CE 115 2 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 123 130 0 29 Aug 2023
Inference from Real-World Sparse Measurements Arnaud Pannatier Kyle Matoba François Fleuret AI4TS 111 0 0 20 Oct 2022