no code implementations • 24 Mar 2023 • Karl Otness, Laure Zanna, Joan Bruna
Subgrid parameterizations, which represent physical processes occurring below the resolution of current climate models, are an important component in producing accurate, long-term predictions for the climate.
1 code implementation • 9 Aug 2021 • Karl Otness, Arvi Gjoka, Joan Bruna, Daniele Panozzo, Benjamin Peherstorfer, Teseo Schneider, Denis Zorin
Simulating physical systems is a core component of scientific computing, encompassing a wide range of physical domains and applications.
no code implementations • 4 Feb 2018 • Federico Monti, Karl Otness, Michael M. Bronstein
Deep learning on graphs and in particular, graph convolutional neural networks, have recently attracted significant attention in the machine learning community.