Frank Werner - RankMe

20 papers Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analyzing the Error of Generative Diffusion Models: From Euler-Maruyama to Higher-Order Schemes. CoRR Emanuel Pfarr, Radu Timofte, Frank Werner
2025	—	`conf`	A Simple Combination of Diffusion Models for Better Quality Trade-Offs in Image Denoising. CVPR Workshops Jonas Dornbusch, Emanuel Pfarr, Florin-Alexandru Vasluianu, Frank Werner, Radu Timofte
2025	J	`jnl`	A Simple Combination of Diffusion Models for Better Quality Trade-Offs in Image Denoising. CoRR Jonas Dornbusch, Emanuel Pfarr, Florin-Alexandru Vasluianu, Frank Werner, Radu Timofte
2025	J	`jnl`	L^1 data fitting for Inverse Problems yields optimal rates of convergence in case of discretized white Gaussian noise. CoRR Kristina Bätz, Frank Werner
2024	J	`jnl`	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 Frank Werner, Bernd Hofmann
2024	J	`jnl`	Maximum a posteriori testing in statistical inverse problems. CoRR Remo Kretschmann, Frank Werner
2023	J	`jnl`	Adaptive minimax optimality in statistical inverse problems via SOLIT - Sharp Optimal Lepskii-Inspired Tuning. CoRR Housen Li, Frank Werner
2023	J	`jnl`	On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method with Sequential Data. SIAM J. Sci. Comput. Neil K. Chada, Marco A. Iglesias, Shuai Lu, Frank Werner
2022	J	`jnl`	Deautoconvolution in the two-dimensional case. CoRR Yu Deng, Bernd Hofmann, Frank Werner
2022	J	`jnl`	On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method with Sequential Data. CoRR Neil K. Chada, Marco A. Iglesias, Shuai Lu, Frank Werner
2022	J	`jnl`	On uniqueness and ill-posedness for the deautoconvolution problem in the multi-dimensional case. CoRR Bernd Hofmann, Frank Werner, Yu Deng
2022	J	`jnl`	Optimal regularized hypothesis testing in statistical inverse problems. CoRR Remo Kretschmann, Daniel Wachsmuth, Frank Werner
2022	J	`jnl`	Towards quantitative super-resolution microscopy: Molecular maps with statistical guarantees. CoRR Katharina Proksch, Frank Werner, Jan Keller-Findeisen, Haisen Ta, Axel Munk
2021	J	`jnl`	Minimax detection of localized signals in statistical inverse problems. CoRR Markus Pohlmann, Frank Werner, Axel Munk
2021	J	`jnl`	On the Asymptotical Regularization for Linear Inverse Problems in Presence of White Noise. SIAM/ASA J. Uncertain. Quantification Shuai Lu, Pingping Niu, Frank Werner
2020	J	`jnl`	On the asymptotical regularization for linear inverse problems in presence of white noise. CoRR Shuai Lu, Pingping Niu, Frank Werner
2020	J	`jnl`	Variational Multiscale Nonparametric Regression: Algorithms and Implementation. Algorithms Miguel del Alamo, Housen Li, Axel Munk, Frank Werner
2016	J	`jnl`	Convergence Rates for Exponentially Ill-Posed Inverse Problems with Impulsive Noise. SIAM J. Numer. Anal. Claudia König, Frank Werner, Thorsten Hohage
2014	J	`jnl`	Convergence Rates for Inverse Problems with Impulsive Noise. SIAM J. Numer. Anal. Thorsten Hohage, Frank Werner
2013	J	`jnl`	Iteratively regularized Newton-type methods for general data misfit functionals and applications to Poisson data. Numerische Mathematik Thorsten Hohage, Frank Werner