most citedA Recipe for Learning Variably Scaled Kernels via Discontinuous Neural Networks

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math.NA2026

Graph-Instructed Neural Networks for parametric problems with varying boundary conditions

Francesco Della Santa, Sandra Pieraccini, Maria Strazzullo

This work addresses the accurate and efficient simulation of physical phenomena governed by parametric Partial Differential Equations (PDEs) characterized by varying boundary condi…

math.NA2024★ 2 cited

A Recipe for Learning Variably Scaled Kernels via Discontinuous Neural Networks

Gianluca Audone, Francesco Della Santa, Emma Perracchione +1

The efficacy of interpolating via Variably Scaled Kernels (VSKs) is known to be dependent on the definition of a proper scaling function, but no numerical recipes to construct it a…