3 papers
stat.AP2026
Probabilistic Deep Learning for Drought Forecasting: Role of Internal Climate Variability
Henri Funk, Cornelia Gruber, Göran Kauermann +2
Predicting drought risk is essential for anticipating impacts on water resources, agriculture, ecosystems, and climate adaptation planning. Yet drought forecasts remain uncertain b…
stat.AP2026
Capturing Aleatoric Uncertainty in Climate Models
Cornelia Gruber, Henri Funk, Magdalena Mittermeier +2
Internal climate variability arises from the climate system's inherently chaotic dynamics. Quantifying it is essential for climate science, as it enables risk-based decision-making…
cs.LG2022
Algorithm-Agnostic Interpretations for Clustering
Christian A. Scholbeck, Henri Funk, Giuseppe Casalicchio
A clustering outcome for high-dimensional data is typically interpreted via post-processing, involving dimension reduction and subsequent visualization. This destroys the meaning o…