2 papers
math.NA2025
A deep learning approach to inverse medium scattering: Learning regularizers from a direct imaging method
Kai Li, Bo Zhang, Haiwen Zhang
This paper aims to solve numerically the two-dimensional inverse medium scattering problem with far-field data. This is a challenging task due to the severe ill-posedness and stron…
math.NA2025
Learning-Enhanced Variational Regularization for Electrical Impedance Tomography via Calderón's Method
Kai Li, Kwancheol Shin, Zhi Zhou
This paper aims to numerically solve the two-dimensional electrical impedance tomography (EIT) with Cauchy data. This inverse problem is highly challenging due to its severe ill-po…