2 papers
stat.ML2026
Surrogate Modeling for Explainable Predictive Time Series Corrections
Alfredo Lopez, Florian Sobieczky
We introduce a local surrogate approach for explainable time-series forecasting. An initially non-interpretable predictive model to improve the forecast of a classical time-series…
cs.LG2026
Reinforcement Learning for Accelerated Aerodynamic Shape Optimisation
Florian Sobieczky, Alfredo Lopez, Erika Dudkin +4
We introduce a reinforcement learning (RL) based adaptive optimization algorithm for aerodynamic shape optimization focused on dimensionality reduction. The form in which RL is app…