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20162022
most citedSolving Inverse Problems With Deep Neural Networks -- Robustness Included?

150 citations · 480 across the 12 of their papers we have counts for

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eess.IV2022★ 30 cited

Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning

Martin Genzel, Ingo Gühring, Jan Macdonald +1

This work is concerned with the following fundamental question in scientific machine learning: Can deep-learning-based methods solve noise-free inverse problems to near-perfect acc…

eess.IV2020

Interval Neural Networks as Instability Detectors for Image Reconstructions

Jan Macdonald, Maximilian März, Luis Oala +1

This work investigates the detection of instabilities that may occur when utilizing deep learning models for image reconstruction tasks. Although neural networks often empirically…