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20232026
most citedEarly Stopping of Untrained Convolutional Neural Networks

1 citations · 1 across the 7 of their papers we have counts for

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math.NA2026

Early stopping of stochastic variance reduced gradient for linear inverse problems by the discrepancy principle

Bangti Jin, Zehui Zhou

Stochastic variance reduced gradient (SVRG) is a variant of stochastic gradient descent and is a promising iterative method for solving large-scale inverse problems. Nevertheless,…

math.NA2026

Error Analysis of the Inverse Conductivity Problem with Scattered Measurements

Bangti Jin, Qimeng Quan, Wenlong Zhang

In this work, we investigate the inverse problem of recovering the conductivity coefficient in an elliptic equation from noisy measurements collected at finitely many deterministic…