most citedAIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score

9 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

physics.ao-ph2024★ 9 cited

AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score

Simon Lang, Mihai Alexe, Mariana C. A. Clare +15

Over the last three decades, ensemble forecasts have become an integral part of forecasting the weather. They provide users with more complete information than single forecasts as…

cs.CV2023

Unsupervised Representation Learning for Diverse Deformable Shape Collections

Sara Hahner, Souhaib Attaiki, Jochen Garcke +1

We introduce a novel learning-based method for encoding and manipulating 3D surface meshes. Our method is specifically designed to create an interpretable embedding space for defor…