most citedSolving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures

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cs.LG2024

SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures

Peimeng Guan, Mark A. Davenport

Inverse problems aim to reconstruct unseen data from corrupted or perturbed measurements. While most work focuses on improving reconstruction quality, generalization accuracy and r…

cs.LG2024★ 1 cited

Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures

Peimeng Guan, Naveed Iqbal, Mark A. Davenport +1

Model-based deep learning methods such as loop unrolling (LU) and deep equilibrium model}(DEQ) extensions offer outstanding performance in solving inverse problems (IP). These meth…