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stat.ML2026
Robust LassoNet: Enhancing Feature Selection in Neural Networks via Robust Loss Functions
Daniela De Canditiis, Italia De Feis, Paola Stolfi
Feature selection in neural networks remains a challenging problem, particularly in the presence of noisy or contaminated data. LassoNet is a recent approach that addresses this is…
math.DS2026
Bayesian methods for the identification of model parameters for water transport in porous media
Paola Stolfi, Elia Onofri, Gabriella Bretti
The structure of the nonlinear inverse problem arising from capillarity-driven imbibition in porous media is investigated, considering a degenerate parabolic PDE with compactly sup…