6 papers
The Machine Learning Approach to Moment Closure Relations for Plasma: A Review
Samuel Burles, Enrico Camporeale
The requirement for large-scale global simulations of plasma is an ongoing challenge in both space and laboratory plasma physics. Any simulation based on a fluid model inherently r…
Finding Novel Precursors for Solar Wind Stream Interaction Regions with Interpretable Deep Learning
Prateek Mayank, Yogesh, Enrico Camporeale +4
Solar wind stream interaction regions (SIRs) drive recurrent geomagnetic storms, yet most existing catalogs rely on expert inspection and simple thresholds that are subjective and…
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…
PARIS: Pruning Algorithm via the Representer theorem for Imbalanced Scenarios
Enrico Camporeale
The challenge of \textbf{imbalanced regression} arises when standard Empirical Risk Minimization (ERM) biases models toward high-frequency regions of the data distribution, causing…
Neural Enhancement of the Traditional Wang-Sheeley-Arge Solar Wind Relation
Prateek Mayank, Enrico Camporeale, Arpit K. Shrivastav +2
The Wang-Sheeley-Arge (WSA) model has been the cornerstone of operational solar wind forecasting for nearly two decades, owing to its simplicity and physics-based formalism. Howeve…
Verification of the NOAA Space Weather Prediction Center solar flare forecast (1998-2024)
Enrico Camporeale, Thomas E. Berger
The NOAA Space Weather Prediction Center (SWPC) issues the official U.S. government forecast for M-class and X-class solar flares, yet the skill of these forecasts has never been c…