11 citations · 11 across the 1 of their papers we have counts for
2 papers
physics.ao-ph2026
4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling
Deifilia Kieckhefen, Juan Pedro Gutiérrez Hermosillo Muriedas, Lars Helge Heyen +12
We present BEAST, the first-ever Bayesian Swin Transformer for atmospheric forecasting on 0.25 global resolution able to accurately quantify both aleatoric and epistemic un…
cs.NE2023★ 11 cited
Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations
Oskar Taubert, Marie Weiel, Daniel Coquelin +5
We present Propulate, an evolutionary optimization algorithm and software package for global optimization and in particular hyperparameter search. For efficient use of HPC resource…