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Riccardo Trinchero

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Open access 2026

Small-Data Modeling of Electromagnetic Structures via Compressed Vector-Valued Kernel Ridge Regression

This paper presents a data-efficient surrogate modeling framework for electromagnetic structures and components based on a compressed formulation of vector-valued kernel ridge regression (VV-KRR). The method is intended for small-data regimes, where training samples generated through full-wave or circuit simulations ar...

N. Soleimani, I. Stievano, Riccardo Trinchero · 0 citations

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