3 papers
physics.comp-ph2026
Adaptive Online Emulation for Accelerating Complex Physical Simulations
Tara P. A. Tahseen, Nikolaos Nikolaou, LuÃs F. Simões +3
Complex physical simulations often require trade-offs between model fidelity and computational feasibility. We introduce Adaptive Online Emulation (AOE), which dynamically learns n…
astro-ph.EP2025
Extreme Learning Machines for Exoplanet Simulations: A Faster, Lightweight Alternative to Deep Learning
Tara P. A. Tahseen, LuÃs F. Simões, Kai Hou Yip +3
Increasing resolution and coverage of astrophysical and climate data necessitates increasingly sophisticated models, often pushing the limits of computational feasibility. While em…
cs.LG2024
Operational range bounding of spectroscopy models with anomaly detection
LuÃs F. Simões, Pierluigi Casale, MarÃlia Felismino +4
Safe operation of machine learning models requires architectures that explicitly delimit their operational ranges. We evaluate the ability of anomaly detection algorithms to provid…