CD Laboratory
MaMSi

Preprints

Our published papers can be found in the publications section.

2024

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L. Frischauf, O. Scherzer and C. Shi Classification with neural networks with quadratic decision functions Technical report, 2401.10710, 2024 BibTeX | funding | PDF )
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C. Kirisits, N. Naujoks and O. Scherzer Diffraction Tomography for a Generalized Incident Field Technical report, 2403.16835, 2024 BibTeX | funding | PDF )
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2023

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A. Aspri and O. Scherzer Analysis of Generalized Iteratively Regularized Landweber Iterations driven by data Preprint on ArXiv, 2312.03337, 2023 BibTeX | funding | PDF )
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L. Frischauf, O. Scherzer and C. Shi Quadratic neural networks for solving inverse problems Technical report, 2401.09445, 2023 BibTeX | funding | PDF )
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F. Parzer, C. Kirisits and O. Scherzer Uncertainty Quantification for Scale-Space Blob Detection Preprint on ArXiv, 2307.15489, 2023 BibTeX | funding | PDF )
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O. Scherzer, B. Hofmann and Z. Nashed Newton's methods for solving linear inverse problems with neural network coders Preprint on ArXiv, 2303.14058, 2023 BibTeX | funding | PDF )
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2022

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F. Faucher and O. Scherzer Quantitative inverse problem in visco-acoustic media under attenuation model uncertainty Technical report, 2204.13017, 2022 BibTeX | funding | PDF )
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L. Frischauf, O. Scherzer and C. Shi Universal approximation properties of shallow quadratic neural networks Technical report, 2110.01536v2, 2022 BibTeX | funding | PDF )
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P. Jethwa, F. Parzer, O. Scherzer and G. van de Ven Uncertainty-Aware Blob Detection with an Application to Integrated-Light Stellar Population Recoveries Preprint on ArXiv, 2208.05881, 2022 BibTeX | funding | PDF )
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F. Parzer, P. Jethwa, A. Boecker, M. Alfaro-Cuello, O. Scherzer and G. van de Ven Uncertainty-Aware Blob Detection with an Application to Integrated-Light Stellar Population Recoveries Preprint on ArXiv, 2208.05881, 2022 BibTeX | funding | PDF )
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B. Mejri and Scherzer O. A new inversion scheme for elastic diffraction tomography Preprint on ArXiv, 2212.02798, 2022 BibTeX | funding | PDF )
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M. Quellmalz, P. Elbau, O. Scherzer and G. Steidl Motion Detection in Diffraction Tomography by Common Circle Methods Preprint on arXiv, 2209.08086, 2022 BibTeX | funding | PDF )
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