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20242026
most citedAIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score

9 citations · 11 across the 4 of their papers we have counts for

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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.LG2024★ 1 cited

Iterative Graph Neural Network Enhancement via Frequent Subgraph Mining of Explanations

Harish G. Naik, Jan Polster, Raj Shekhar +2

We formulate an XAI-based model improvement approach for Graph Neural Networks (GNNs) for node classification, called Explanation Enhanced Graph Learning (EEGL). The goal is to imp…