Frank Werner

Orcid: 0000-0001-8446-3587

Affiliations:
  • University of Würzburg, Germany
  • Georg-August-Universität Göttingen, Germany (PhD 2012)


According to our database1, Frank Werner authored at least 17 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Analyzing the Error of Generative Diffusion Models: From Euler-Maruyama to Higher-Order Schemes.
CoRR, January, 2026

2025
L^1 data fitting for Inverse Problems yields optimal rates of convergence in case of discretized white Gaussian noise.
CoRR, November, 2025

A Simple Combination of Diffusion Models for Better Quality Trade-Offs in Image Denoising.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
A unified concept of the degree of ill-posedness for compact and non-compact linear operators in Hilbert spaces under the auspices of the spectral theorem.
CoRR, 2024

Maximum a posteriori testing in statistical inverse problems.
CoRR, 2024

2023
On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method with Sequential Data.
SIAM J. Sci. Comput., June, 2023

Adaptive minimax optimality in statistical inverse problems via SOLIT - Sharp Optimal Lepskii-Inspired Tuning.
CoRR, 2023

2022
Optimal regularized hypothesis testing in statistical inverse problems.
CoRR, 2022

On uniqueness and ill-posedness for the deautoconvolution problem in the multi-dimensional case.
CoRR, 2022

Deautoconvolution in the two-dimensional case.
CoRR, 2022

Towards quantitative super-resolution microscopy: Molecular maps with statistical guarantees.
CoRR, 2022

2021
On the Asymptotical Regularization for Linear Inverse Problems in Presence of White Noise.
SIAM/ASA J. Uncertain. Quantification, 2021

Minimax detection of localized signals in statistical inverse problems.
CoRR, 2021

2020
Variational Multiscale Nonparametric Regression: Algorithms and Implementation.
Algorithms, 2020

2016
Convergence Rates for Exponentially Ill-Posed Inverse Problems with Impulsive Noise.
SIAM J. Numer. Anal., 2016

2014
Convergence Rates for Inverse Problems with Impulsive Noise.
SIAM J. Numer. Anal., 2014

2013
Iteratively regularized Newton-type methods for general data misfit functionals and applications to Poisson data.
Numerische Mathematik, 2013


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