2 papers
cs.CE2026
Accurate and Reliable Uncertainty Estimates for Deterministic Predictions Extensions to Under and Overpredictions
Rileigh Bandy, Enrico Camporeale, Andong Hu +2
Computational models support high-stakes decisions across engineering and science, and practitioners increasingly seek probabilistic predictions to quantify uncertainty in such mod…
cs.LG2025
IonCast: A Deep Learning Framework for Forecasting Ionospheric Dynamics
Halil S. Kelebek, Linnea M. Wolniewicz, Michael D. Vergalla +8
The ionosphere is a critical component of near-Earth space, shaping GNSS accuracy, high-frequency communications, and aviation operations. For these reasons, accurate forecasting a…