activity
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

collaborators

6 papers

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…

math-ph2025

On the uniqueness of the discrete Calderon problem on multi-dimensional lattices

Maolin Deng, Bangti Jin

In this work, we investigate the discrete Calderón problem on grid graphs of dimension three or higher, formed by hypercubic structures. The discrete Calderón problem is concerned…

math.AP2025

Simultaneous Identification of Coefficients and Source in a Subdiffusion Equation from One Passive Measurement

Maolin Deng, Ali Feizmohammadi, Bangti Jin +1

This article is devoted to the detection of parameters in anomalous diffusion from a single passive measurement. More precisely, we consider the simultaneous identification of coef…

math.AP2025

Stable Determination and Reconstruction of a Quasilinear Term in an Elliptic Equation

Jason Choy, Maolin Deng, Bangti Jin +1

In this work, we investigate the inverse problem of determining a quasilinear term appearing in a nonlinear elliptic equation from the measurement of the conormal derivative on the…

math.NA2024★ 1 cited

The discrete inverse conductivity problem solved by the weights of an interpretable neural network

Elena Beretta, Maolin Deng, Alberto Gandolfi +1

In this work, we develop a novel neural network (NN) approach to solve the discrete inverse conductivity problem of recovering the conductivity profile on network edges from the di…