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cs.LG2024
Probabilistic energy forecasting through quantile regression in reproducing kernel Hilbert spaces
Luca Pernigo, Rohan Sen, Davide Baroli
Accurate energy demand forecasting is crucial for sustainable and resilient energy development. To meet the Net Zero Representative Concentration Pathways (RCP) scenario in t…
stat.ML2024
Observation-specific explanations through scattered data approximation
Valentina Ghidini, Michael Multerer, Jacopo Quizi +1
This work introduces the definition of observation-specific explanations to assign a score to each data point proportional to its importance in the definition of the prediction pro…