3 papers
cs.LG2026
Aligned explanations in neural networks
Corentin Lobet, Francesca Chiaromonte
As artificial intelligence increasingly drives critical decisions, the ability to genuinely explain how neural networks make predictions is essential for trust. Yet, most current e…
math.ST2026
ARMAr-LASSO: Mitigating the Impact of Predictor Serial Correlation on the LASSO
Simone Tonini, Francesca Chiaromonte, Alessandro Giovannelli
We explore estimation and forecast accuracy for sparse linear models, focusing on scenarios where both predictors and errors carry serial correlations. We establish a clear link be…
stat.ME2024
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions
Tobia Boschi, Lorenzo Testa, Francesca Chiaromonte +1
Functional regression analysis is an established tool for many contemporary scientific applications. Regression problems involving large and complex data sets are ubiquitous, and f…