Dirk A. Lorenz

ORCID

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 36

Top Venues

CoRR

SSVM

J. Math. Imaging Vis.

Comput. Optim. Appl.

University of Bremen, Germany (PHD)

Education History

University of Bremen, Germany

PHD

Publications

Dirk A. Lorenz, Felix Schneppe, Lionel Tondji
Linearly convergent adjoint free solution of least squares problems by random descent. CoRR (2023)
Niklas Breustedt, Paolo Climaco, Jochen Garcke, Jan Hamaekers, Gitta Kutyniok, Dirk A. Lorenz, Rick Oerder, Chirag Varun Shukla
On the Interplay of Subset Selection and Informed Graph Neural Networks. CoRR (2023)
Lionel Tondji, Dirk A. Lorenz
Faster randomized block sparse Kaczmarz by averaging. Numer. Algorithms 93 (4) (2023)
Dirk A. Lorenz, Maximilian Winkler
Minimal error momentum Bregman-Kaczmarz. CoRR (2023)
Lionel Tondji, Idriss Tondji, Dirk A. Lorenz
Adaptive Bregman-Kaczmarz: An Approach to Solve Linear Inverse Problems with Independent Noise Exactly. CoRR (2023)
Robert Gower, Dirk A. Lorenz, Maximilian Winkler
A Bregman-Kaczmarz method for nonlinear systems of equations. CoRR (2023)
Lionel Tondji, Dirk A. Lorenz, Ion Necoara
An accelerated randomized Bregman-Kaczmarz method for strongly convex linearly constraint optimization. ECC (2023)
Lionel Tondji, Ion Necoara, Dirk A. Lorenz
Acceleration and restart for the randomized Bregman-Kaczmarz method. CoRR (2023)
Christoph Brauer, Dirk A. Lorenz
Asymptotic Analysis and Truncated Backpropagation for the Unrolled Primal-Dual Algorithm. EUSIPCO (2023)
Nanda Kishore Bellam Muralidhar, Carmen Gräßle, Natalie Rauter, Andrey Mikhaylenko, Rolf Lammering, Dirk A. Lorenz
Damage Identification in Fiber Metal Laminates using Bayesian Analysis with Model Order Reduction. CoRR (2022)
Dirk A. Lorenz, Felix Schneppe
Chambolle-Pock's Primal-Dual Method with Mismatched Adjoint. CoRR (2022)
Lionel Tondji, Dirk A. Lorenz
Faster Randomized Block Sparse Kaczmarz by Averaging. CoRR (2022)
Christoph Brauer, Dirk A. Lorenz, Lionel Tondji
Group equivariant networks for leakage detection in vacuum bagging. EUSIPCO (2022)
Kristian Bredies, Enis Chenchene, Dirk A. Lorenz, Emanuele Naldi
Degenerate Preconditioned Proximal Point Algorithms. SIAM J. Optim. 32 (3) (2022)
Christoph Brauer, Niklas Breustedt, Timo de Wolff, Dirk A. Lorenz
Learning Variational Models with Unrolling and Bilevel Optimization. CoRR (2022)
Frank Schöpfer, Dirk A. Lorenz, Lionel Tondji, Maximilian Winkler
Extended Randomized Kaczmarz Method for Sparse Least Squares and Impulsive Noise Problems. CoRR (2022)
Daria Ghilli, Dirk A. Lorenz, Elena Resmerita
Nonconvex flexible sparsity regularization: theory and monotone numerical schemes. CoRR (2021)
Dirk A. Lorenz, Quoc Tran-Dinh
Non-stationary Douglas-Rachford and alternating direction method of multipliers: adaptive step-sizes and convergence. Comput. Optim. Appl. 74 (1) (2019)
Birgit Komander, Dirk A. Lorenz, Lena Vestweber
Denoising of Image Gradients and Total Generalized Variation Denoising. J. Math. Imaging Vis. 61 (1) (2019)
Frank Schöpfer, Dirk A. Lorenz
Linear convergence of the randomized sparse Kaczmarz method. Math. Program. 173 (1-2) (2019)
Christoph Brauer, Ziyue Zhao, Dirk A. Lorenz, Tim Fingscheidt
Learning to Dequantize Speech Signals by Primal-dual Networks: an Approach for Acoustic Sensor Networks. ICASSP (2019)
Lars M. Mescheder, Dirk A. Lorenz
An Extended Perona-Malik Model Based on Probabilistic Models. J. Math. Imaging Vis. 60 (1) (2018)
Christoph Brauer, Dirk A. Lorenz
Primal-dual residual networks. CoRR (2018)
Christoph Brauer, Dirk A. Lorenz, Andreas M. Tillmann
A primal-dual homotopy algorithm for \(\ell _{1}\) -minimization with \(\ell _{\infty }\) -constraints. Comput. Optim. Appl. 70 (2) (2018)
Dirk A. Lorenz, Sean Rose, Frank Schöpfer
The Randomized Kaczmarz Method with Mismatched Adjoint. CoRR (2018)
Birgit Komander, Dirk A. Lorenz
Denoising of Image Gradients and Constrained Total Generalized Variation. SSVM (2017)
Birgit Komander, Dirk A. Lorenz, Lena Vestweber
Denoising of image gradients and total generalized variation denoising. CoRR (2017)
Christoph Brauer, Timo Gerkmann, Dirk A. Lorenz
Sparse reconstruction of quantized speech signals. ICASSP (2016)
Christoph Brauer, Dirk A. Lorenz, Andreas M. Tillmann
-Constraints. CoRR (2016)
Frank Schöpfer, Dirk A. Lorenz
Linear convergence of the Randomized Sparse Kaczmarz Method. CoRR (2016)
Lars M. Mescheder, Dirk A. Lorenz
An extended Perona-Malik model based on probabilistic models. CoRR (2016)
Dirk A. Lorenz, Thomas Pock
An Inertial Forward-Backward Algorithm for Monotone Inclusions. J. Math. Imaging Vis. 51 (2) (2015)
Dirk A. Lorenz, Marc E. Pfetsch, Andreas M. Tillmann
Solving Basis Pursuit: Heuristic Optimality Check and Solver Comparison. ACM Trans. Math. Softw. 41 (2) (2015)
Christoph Brauer, Dirk A. Lorenz
Cartoon-Texture-Noise Decomposition with Transport Norms. SSVM (2015)
Christian Kruschel, Dirk A. Lorenz
Computing and analyzing recoverable supports for sparse reconstruction. Adv. Comput. Math. 41 (6) (2015)
Kristian Bredies, Dirk A. Lorenz, Stefan Reiterer
Minimization of Non-smooth, Non-convex Functionals by Iterative Thresholding. J. Optim. Theory Appl. 165 (1) (2015)
Jan Lellmann, Dirk A. Lorenz, Carola Schönlieb, Tuomo Valkonen
Imaging with Kantorovich-Rubinstein discrepancy. CoRR (2014)
Jan Lellmann, Dirk A. Lorenz, Carola-Bibiane Schönlieb, Tuomo Valkonen
Imaging with Kantorovich-Rubinstein Discrepancy. SIAM J. Imaging Sci. 7 (4) (2014)
Dirk A. Lorenz, Thomas Pock
An accelerated forward-backward algorithm for monotone inclusions. CoRR (2014)
Dirk A. Lorenz, Stephan Wenger, Frank Schöpfer, Marcus A. Magnor
A sparse Kaczmarz solver and a linearized Bregman method for online compressed sensing. ICIP (2014)
Dirk A. Lorenz, Stephan Wenger, Frank Schöpfer, Marcus A. Magnor
A sparse Kaczmarz solver and a linearized Bregman method for online compressed sensing. CoRR (2014)
Dirk A. Lorenz, Marc E. Pfetsch, Andreas M. Tillmann
An infeasible-point subgradient method using adaptive approximate projections. Comput. Optim. Appl. 57 (2) (2014)
Jakob Sauer Jørgensen, Christian Kruschel, Dirk A. Lorenz
Testable uniqueness conditions for empirical assessment of undersampling levels in total variation-regularized x-ray CT. CoRR (2014)
Dirk A. Lorenz, Frank Schöpfer, Stephan Wenger
The Linearized Bregman Method via Split Feasibility Problems: Analysis and Generalizations. SIAM J. Imaging Sci. 7 (2) (2014)
Dirk A. Lorenz
Constructing Test Instances for Basis Pursuit Denoising. IEEE Trans. Signal Process. 61 (5) (2013)
Dirk A. Lorenz, Frank Schöpfer, Stephan Wenger
The Linearized Bregman Method via Split Feasibility Problems: Analysis and Generalizations. CoRR (2013)
Stephan Wenger, Dirk A. Lorenz, Marcus A. Magnor
Fast Image-Based Modeling of Astronomical Nebulae. Comput. Graph. Forum 32 (7) (2013)
Christian Kruschel, Dirk A. Lorenz
Computing and Analyzing Recoverable Supports for Sparse Reconstruction. CoRR (2013)
Eileen Laue, Dirk A. Lorenz
Variational Methods for Motion Deblurring with Still Background. SSVM (2013)
Stephan Wenger, Marco Ament, Stefan Guthe, Dirk A. Lorenz, Andreas M. Tillmann, Daniel Weiskopf, Marcus A. Magnor
Visualization of Astronomical Nebulae via Distributed Multi-GPU Compressed Sensing Tomography. IEEE Trans. Vis. Comput. Graph. 18 (12) (2012)
Kanglin Chen, Dirk A. Lorenz
Image Sequence Interpolation Based on Optical Flow, Segmentation, and Optimal Control. IEEE Trans. Image Process. 21 (3) (2012)
Klaus Frick, Dirk A. Lorenz, Elena Resmerita
Morozov's Principle for the Augmented Lagrangian Method Applied to Linear Inverse Problems. Multiscale Model. Simul. 9 (4) (2011)
Kanglin Chen, Dirk A. Lorenz
Image Sequence Interpolation Using Optimal Control. J. Math. Imaging Vis. 41 (3) (2011)
Dirk A. Lorenz
Constructing test instances for Basis Pursuit Denoising CoRR (2011)
Bangti Jin, Dirk A. Lorenz
Heuristic Parameter-Choice Rules for Convex Variational Regularization Based on Error Estimates. SIAM J. Numer. Anal. 48 (3) (2010)
Jan Lorenz, Dirk A. Lorenz
On Conditions for Convergence to Consensus. IEEE Trans. Autom. Control. 55 (7) (2010)
Kanglin Chen, Dirk A. Lorenz
Image sequence interpolation using optimal control CoRR (2010)
Kristian Bredies, Dirk A. Lorenz, Peter Maass
A generalized conditional gradient method and its connection to an iterative shrinkage method. Comput. Optim. Appl. 42 (2) (2009)
Kristian Bredies, Dirk A. Lorenz
Iterated Hard Shrinkage for Minimization Problems with Sparsity Constraints. SIAM J. Sci. Comput. 30 (2) (2008)
Kristian Bredies, Dirk A. Lorenz, Peter Maass
An Optimal Control Problem in Medical Image Processing. Systems, Control, Modeling and Optimization (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dirk A. Lorenz