Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning

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 accuracy? Positive evidence is provided for the first time, focusing on a prototypical computed tomography (CT) setup. We d...

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Veröffentlicht in:	arXiv.org 2022-06
Hauptverfasser:	Genzel, Martin, Gühring, Ingo, Macdonald, Jan, März, Maximilian
Format:	Artikel
Sprache:	eng
Schlagworte:	Computed tomography Deep learning Inverse problems Iterative methods Machine learning
Online-Zugang:	Volltext
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