Papers citing 'The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks'

Title
Using Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO Forecasts Kinya Toride Matthew Newman Andrew Hoell A. Capotondi Jakob Schlör Dillon Amaya 386 3 0 23 Apr 2024
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 279 8 0 06 Apr 2023
Graph-Based Deep Learning for Sea Surface Temperature Forecasts Ding Ning V. Vetrova K. Bryan AI4Cl AI4TS AI4CE 59 5 0 03 Apr 2023
Conservation Tools: The Next Generation of Engineering--Biology CollaborationsJournal of the Royal Society Interface (J. R. Soc. Interface), 2023 Andrew Schulz Cassie Shriver Suzanne Stathatos Benjamin Seleb E. Weigel Young-Hui Chang M. S. Bhamla David Hu Biomolecular Engineering Georgia Tech Zoo Atlanta 185 18 0 03 Jan 2023
AutoML for Climate Change: A Call to Action Renbo Tu Nicholas Roberts Vishak Prasad Sibasis Nayak P. Jain Frederic Sala Ganesh Ramakrishnan Ameet Talwalkar Willie Neiswanger Colin White 192 6 0 07 Oct 2022
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers Björn Lütjens Catherine H. Crawford C. Watson C. Hill Dava Newman AI4CE 148 14 0 23 Jul 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection Thabang Mathonsi Terence L van Zyl 152 0 0 25 Feb 2022
ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models Salva Rühling Cachay Venkatesh Ramesh J. Cole H. Barker David Rolnick 144 21 0 29 Nov 2021