Dirk A. Lorenz
Orcid: 0000-0002-7419-769X
According to our database1,
Dirk A. Lorenz
authored at least 52 papers
between 2004 and 2023.
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Bibliography
2023
Numer. Algorithms, August, 2023
Adaptive Bregman-Kaczmarz: An Approach to Solve Linear Inverse Problems with Independent Noise Exactly.
CoRR, 2023
Linearly convergent adjoint free solution of least squares problems by random descent.
CoRR, 2023
Asymptotic Analysis and Truncated Backpropagation for the Unrolled Primal-Dual Algorithm.
Proceedings of the 31st European Signal Processing Conference, 2023
An accelerated randomized Bregman-Kaczmarz method for strongly convex linearly constraint optimization.
Proceedings of the European Control Conference, 2023
2022
Damage Identification in Fiber Metal Laminates using Bayesian Analysis with Model Order Reduction.
CoRR, 2022
Extended Randomized Kaczmarz Method for Sparse Least Squares and Impulsive Noise Problems.
CoRR, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
2021
CoRR, 2021
2019
J. Math. Imaging Vis., 2019
Non-stationary Douglas-Rachford and alternating direction method of multipliers: adaptive step-sizes and convergence.
Comput. Optim. Appl., 2019
Learning to Dequantize Speech Signals by Primal-dual Networks: an Approach for Acoustic Sensor Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
J. Math. Imaging Vis., 2018
A primal-dual homotopy algorithm for \(\ell _{1}\) -minimization with \(\ell _{\infty }\) -constraints.
Comput. Optim. Appl., 2018
2017
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017
2016
A Primal-Dual Homotopy Algorithm for ℓ<sub>1</sub>-Minimization with ℓ<sub>∞</sub>-Constraints.
CoRR, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
ACM Trans. Math. Softw., 2015
J. Optim. Theory Appl., 2015
J. Math. Imaging Vis., 2015
Adv. Comput. Math., 2015
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015
2014
The Linearized Bregman Method via Split Feasibility Problems: Analysis and Generalizations.
SIAM J. Imaging Sci., 2014
Testable uniqueness conditions for empirical assessment of undersampling levels in total variation-regularized x-ray CT.
CoRR, 2014
Comput. Optim. Appl., 2014
A sparse Kaczmarz solver and a linearized Bregman method for online compressed sensing.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
IEEE Trans. Signal Process., 2013
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013
2012
Visualization of Astronomical Nebulae via Distributed Multi-GPU Compressed Sensing Tomography.
IEEE Trans. Vis. Comput. Graph., 2012
Image Sequence Interpolation Based on Optical Flow, Segmentation, and Optimal Control.
IEEE Trans. Image Process., 2012
2011
Morozov's Principle for the Augmented Lagrangian Method Applied to Linear Inverse Problems.
Multiscale Model. Simul., 2011
Vieweg+Teubner, ISBN: 978-3-8348-1037-3, 2011
2010
Heuristic Parameter-Choice Rules for Convex Variational Regularization Based on Error Estimates.
SIAM J. Numer. Anal., 2010
2009
A generalized conditional gradient method and its connection to an iterative shrinkage method.
Comput. Optim. Appl., 2009
2008
SIAM J. Sci. Comput., 2008
2006
Proceedings of the Systems, 2006
2004
Wavelet shrinkage in signal & image processing: an investigation of relations and equivalences.
PhD thesis, 2004