3 papers
cs.LG2025
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
Alessandro Lovo, Amaury Lancelin, Corentin Herbert +1
When performing predictions that use Machine Learning (ML), we are mainly interested in performance and interpretability. This generates a natural trade-off, where complex models g…
physics.ao-ph2025
Gaussian Framework and Optimal Projection of Weather Fields for Prediction of Extreme Events
Valeria Mascolo, Alessandro Lovo, Corentin Herbert +1
Extreme events are the major weather-related hazard for humanity. It is then of crucial importance to have a good understanding of their statistics and to be able to forecast them.…
nlin.CD2025
The role of edge states for early-warning of tipping points
Johannes Lohmann, Alfred B. Hansen, Alessandro Lovo +3
Tipping points (TP) are often described as low-dimensional bifurcations, and are associated with early-warning signals (EWS) due to critical slowing down (CSD). CSD is an increase…