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20242026
most citedThe discrete inverse conductivity problem solved by the weights of an interpretable neural network

1 citations · 1 across the 4 of their papers we have counts for

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math.AP2026

On the Uniqueness of a Nonlinear Discrete Calderón Problem

Elena Beretta, Maolin Deng, Alberto Gandolfi +1

The discrete Calderón problem aims at recovering the conductivity on the edges of a graph from boundary measurements, encoded by the discrete Dirichlet-to-Neumann (DtN) map. The pr…

math.AP2026

Stability and Reconstruction of a Nonlinearity in a Parabolic Equation from Partial Boundary Data

Jason Choy, Maolin Deng, Bangti Jin +1

In this work, we investigate the inverse problem of determining a semilinear term in a nonlinear parabolic equation from one single boundary flux measurement taken on an arbitrary…