2 papers
cs.LG2026
Emulating Non-Differentiable Metrics via Knowledge-Guided Learning: Introducing the Minkowski Image Loss
Filippo Quarenghi, Ryan Cotsakis, Tom Beucler
The ``differentiability gap'' presents a primary bottleneck in Earth system deep learning: since models cannot be trained directly on non-differentiable scientific metrics and must…
stat.ME2024
Forecasting with Markovian max-stable fields in space and time: An application to wind gust speeds
Ryan Cotsakis, Erwan Koch, Christian-Yann Robert
Hourly maxima of 3-second wind gust speeds are prominent indicators of the severity of wind storms, and accurately forecasting them is thus essential for populations, civil authori…