Neural operators have proven to be a promising approach for modeling
spa...
Pre-trained machine learning (ML) models have shown great performance fo...
Forecasting global precipitation patterns and, in particular, extreme
pr...
Extreme weather amplified by climate change is causing increasingly
deva...
FourCastNet, short for Fourier Forecasting Neural Network, is a global
d...
We present the use of self-supervised learning to explore and exploit la...
We employ self-supervised representation learning to distill information...
Full-physics cosmological simulations are powerful tools for studying th...
We use a contrastive self-supervised learning framework to estimate dist...
Sky surveys are the largest data generators in astronomy, making automat...
We present scalable hybrid-parallel algorithms for training large-scale ...