Dirk A. Lorenz

71 papers B 1Misc 2Journal 59Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A general framework for inexact splitting algorithms with relative errors and applications to Chambolle-Pock and Davis-Yin methods. Comput. Optim. Appl. M. Marques Alves, Dirk A. Lorenz, Emanuele Naldi
2025	J	`jnl`	An accelerated randomized Bregman-Kaczmarz method for strongly convex linearly constraint optimization. CoRR Lionel Tondji, Dirk A. Lorenz, Ion Necoara
2025	J	`jnl`	Computing adjoint mismatch of linear maps. CoRR Jonas Bresch, Dirk A. Lorenz, Felix Schneppe, Maximilian Winkler
2025	J	`jnl`	Why the noise model matters: A performance gap in learned regularization. CoRR Sebastian Banert, Christoph Brauer, Dirk A. Lorenz, Lionel Tondji
2024	J	`jnl`	A Bregman-Kaczmarz method for nonlinear systems of equations. Comput. Optim. Appl. Robert M. Gower, Dirk A. Lorenz, Maximilian Winkler
2024	J	`jnl`	Correction: A Bregman-Kaczmarz method for nonlinear systems of equations. Comput. Optim. Appl. Robert Mansel Gower, Dirk A. Lorenz, Maximilian Winkler
2024	J	`jnl`	Matrix-free stochastic calculation of operator norms without using adjoints. CoRR Jonas Bresch, Dirk A. Lorenz, Felix Schneppe, Maximilian Winkler
2024	J	`jnl`	On inertial Levenberg-Marquardt type methods for solving nonlinear ill-posed operator equations. CoRR Antonio Leitão, Joel C. Rabelo, Dirk A. Lorenz, Maximilian Winkler
2023	J	`jnl`	A Bregman-Kaczmarz method for nonlinear systems of equations. CoRR Robert M. Gower, Dirk A. Lorenz, Maximilian Winkler
2023	J	`jnl`	Acceleration and restart for the randomized Bregman-Kaczmarz method. CoRR Lionel Tondji, Ion Necoara, Dirk A. Lorenz
2023	J	`jnl`	Adaptive Bregman-Kaczmarz: An Approach to Solve Linear Inverse Problems with Independent Noise Exactly. CoRR Lionel Tondji, Idriss Tondji, Dirk A. Lorenz
2023	—	`conf`	An accelerated randomized Bregman-Kaczmarz method for strongly convex linearly constraint optimization. ECC Lionel Tondji, Dirk A. Lorenz, Ion Necoara
2023	—	`conf`	Asymptotic Analysis and Truncated Backpropagation for the Unrolled Primal-Dual Algorithm. EUSIPCO Christoph Brauer, Dirk A. Lorenz
2023	J	`jnl`	Faster randomized block sparse Kaczmarz by averaging. Numer. Algorithms Lionel Tondji, Dirk A. Lorenz
2023	J	`jnl`	Linearly convergent adjoint free solution of least squares problems by random descent. CoRR Dirk A. Lorenz, Felix Schneppe, Lionel Tondji
2023	J	`jnl`	Minimal error momentum Bregman-Kaczmarz. CoRR Dirk A. Lorenz, Maximilian Winkler
2023	J	`jnl`	On the Interplay of Subset Selection and Informed Graph Neural Networks. CoRR Niklas Breustedt, Paolo Climaco, Jochen Garcke, Jan Hamaekers, Gitta Kutyniok, Dirk A. Lorenz, Rick Oerder, Chirag Varun Shukla
2022	J	`jnl`	Chambolle-Pock's Primal-Dual Method with Mismatched Adjoint. CoRR Dirk A. Lorenz, Felix Schneppe
2022	J	`jnl`	Damage Identification in Fiber Metal Laminates using Bayesian Analysis with Model Order Reduction. CoRR Nanda Kishore Bellam Muralidhar, Carmen Gräßle, Natalie Rauter, Andrey Mikhaylenko, Rolf Lammering, Dirk A. Lorenz
2022	J	`jnl`	Degenerate Preconditioned Proximal Point Algorithms. SIAM J. Optim. Kristian Bredies, Enis Chenchene, Dirk A. Lorenz, Emanuele Naldi
2022	J	`jnl`	Extended Randomized Kaczmarz Method for Sparse Least Squares and Impulsive Noise Problems. CoRR Frank Schöpfer, Dirk A. Lorenz, Lionel Tondji, Maximilian Winkler
2022	J	`jnl`	Faster Randomized Block Sparse Kaczmarz by Averaging. CoRR Lionel Tondji, Dirk A. Lorenz
2022	—	`conf`	Group equivariant networks for leakage detection in vacuum bagging. EUSIPCO Christoph Brauer, Dirk A. Lorenz, Lionel Tondji
2022	J	`jnl`	Learning Variational Models with Unrolling and Bilevel Optimization. CoRR Christoph Brauer, Niklas Breustedt, Timo de Wolff, Dirk A. Lorenz
2021	J	`jnl`	Nonconvex flexible sparsity regularization: theory and monotone numerical schemes. CoRR Daria Ghilli, Dirk A. Lorenz, Elena Resmerita
2020	J	`jnl`	Regularization of Inverse Problems by Filtered Diagonal Frame Decomposition. CoRR Andrea Ebner, Jürgen Frikel, Dirk A. Lorenz, Johannes Schwab, Markus Haltmeier
2019	J	`jnl`	Denoising of Image Gradients and Total Generalized Variation Denoising. J. Math. Imaging Vis. Birgit Komander, Dirk A. Lorenz, Lena Vestweber
2019	Misc	`conf`	Learning to Dequantize Speech Signals by Primal-dual Networks: an Approach for Acoustic Sensor Networks. ICASSP Christoph Brauer, Ziyue Zhao, Dirk A. Lorenz, Tim Fingscheidt
2019	J	`jnl`	Linear convergence of the randomized sparse Kaczmarz method. Math. Program. Frank Schöpfer, Dirk A. Lorenz
2019	J	`jnl`	Non-stationary Douglas-Rachford and alternating direction method of multipliers: adaptive step-sizes and convergence. Comput. Optim. Appl. Dirk A. Lorenz, Quoc Tran-Dinh
2018	J	`jnl`	A primal-dual homotopy algorithm for \(\ell _{1}\) -minimization with \(\ell _{\infty }\) -constraints. Comput. Optim. Appl. Christoph Brauer, Dirk A. Lorenz, Andreas M. Tillmann
2018	J	`jnl`	An Extended Perona-Malik Model Based on Probabilistic Models. J. Math. Imaging Vis. Lars M. Mescheder, Dirk A. Lorenz
2018	J	`jnl`	Primal-dual residual networks. CoRR Christoph Brauer, Dirk A. Lorenz
2018	J	`jnl`	The Randomized Kaczmarz Method with Mismatched Adjoint. CoRR Dirk A. Lorenz, Sean Rose, Frank Schöpfer
2017	—	`conf`	Denoising of Image Gradients and Constrained Total Generalized Variation. SSVM Birgit Komander, Dirk A. Lorenz
2017	J	`jnl`	Denoising of image gradients and total generalized variation denoising. CoRR Birgit Komander, Dirk A. Lorenz, Lena Vestweber
2016	J	`jnl`	A Primal-Dual Homotopy Algorithm for ℓ CoRR Christoph Brauer, Dirk A. Lorenz, Andreas M. Tillmann
2016	J	`jnl`	An extended Perona-Malik model based on probabilistic models. CoRR Lars M. Mescheder, Dirk A. Lorenz
2016	J	`jnl`	Linear convergence of the Randomized Sparse Kaczmarz Method. CoRR Frank Schöpfer, Dirk A. Lorenz
2016	Misc	`conf`	Sparse reconstruction of quantized speech signals. ICASSP Christoph Brauer, Timo Gerkmann, Dirk A. Lorenz
2015	J	`jnl`	An Inertial Forward-Backward Algorithm for Monotone Inclusions. J. Math. Imaging Vis. Dirk A. Lorenz, Thomas Pock
2015	—	`conf`	Cartoon-Texture-Noise Decomposition with Transport Norms. SSVM Christoph Brauer, Dirk A. Lorenz
2015	J	`jnl`	Computing and analyzing recoverable supports for sparse reconstruction. Adv. Comput. Math. Christian Kruschel, Dirk A. Lorenz
2015	J	`jnl`	Minimization of Non-smooth, Non-convex Functionals by Iterative Thresholding. J. Optim. Theory Appl. Kristian Bredies, Dirk A. Lorenz, Stefan Reiterer
2015	J	`jnl`	Solving Basis Pursuit: Heuristic Optimality Check and Solver Comparison. ACM Trans. Math. Softw. Dirk A. Lorenz, Marc E. Pfetsch, Andreas M. Tillmann
2014	B	`conf`	A sparse Kaczmarz solver and a linearized Bregman method for online compressed sensing. ICIP Dirk A. Lorenz, Stephan Wenger, Frank Schöpfer, Marcus A. Magnor
2014	J	`jnl`	A sparse Kaczmarz solver and a linearized Bregman method for online compressed sensing. CoRR Dirk A. Lorenz, Stephan Wenger, Frank Schöpfer, Marcus A. Magnor
2014	J	`jnl`	An accelerated forward-backward algorithm for monotone inclusions. CoRR Dirk A. Lorenz, Thomas Pock
2014	J	`jnl`	An infeasible-point subgradient method using adaptive approximate projections. Comput. Optim. Appl. Dirk A. Lorenz, Marc E. Pfetsch, Andreas M. Tillmann
2014	J	`jnl`	Imaging with Kantorovich-Rubinstein Discrepancy. SIAM J. Imaging Sci. Jan Lellmann, Dirk A. Lorenz, Carola-Bibiane Schönlieb, Tuomo Valkonen
2014	J	`jnl`	Imaging with Kantorovich-Rubinstein discrepancy. CoRR Jan Lellmann, Dirk A. Lorenz, Carola Schönlieb, Tuomo Valkonen
2014	J	`jnl`	Testable uniqueness conditions for empirical assessment of undersampling levels in total variation-regularized x-ray CT. CoRR Jakob Sauer Jørgensen, Christian Kruschel, Dirk A. Lorenz
2014	J	`jnl`	The Linearized Bregman Method via Split Feasibility Problems: Analysis and Generalizations. SIAM J. Imaging Sci. Dirk A. Lorenz, Frank Schöpfer, Stephan Wenger
2013	J	`jnl`	Computing and Analyzing Recoverable Supports for Sparse Reconstruction. CoRR Christian Kruschel, Dirk A. Lorenz
2013	J	`jnl`	Constructing Test Instances for Basis Pursuit Denoising. IEEE Trans. Signal Process. Dirk A. Lorenz
2013	J	`jnl`	Fast Image-Based Modeling of Astronomical Nebulae. Comput. Graph. Forum Stephan Wenger, Dirk A. Lorenz, Marcus A. Magnor
2013	J	`jnl`	The Linearized Bregman Method via Split Feasibility Problems: Analysis and Generalizations. CoRR Dirk A. Lorenz, Frank Schöpfer, Stephan Wenger
2013	—	`conf`	Variational Methods for Motion Deblurring with Still Background. SSVM Eileen Laue, Dirk A. Lorenz
2012	J	`jnl`	Image Sequence Interpolation Based on Optical Flow, Segmentation, and Optimal Control. IEEE Trans. Image Process. Kanglin Chen, Dirk A. Lorenz
2012	J	`jnl`	Visualization of Astronomical Nebulae via Distributed Multi-GPU Compressed Sensing Tomography. IEEE Trans. Vis. Comput. Graph. Stephan Wenger, Marco Ament, Stefan Guthe, Dirk A. Lorenz, Andreas M. Tillmann, Daniel Weiskopf, Marcus A. Magnor
2011	J	`jnl`	Constructing test instances for Basis Pursuit Denoising CoRR Dirk A. Lorenz
2011	J	`jnl`	Image Sequence Interpolation Using Optimal Control. J. Math. Imaging Vis. Kanglin Chen, Dirk A. Lorenz
2011	—	`book`	Mathematische Bildverarbeitung - Einführung in Grundlagen und moderne Theorie. Kristian Bredies, Dirk A. Lorenz
2011	J	`jnl`	Morozov's Principle for the Augmented Lagrangian Method Applied to Linear Inverse Problems. Multiscale Model. Simul. Klaus Frick, Dirk A. Lorenz, Elena Resmerita
2010	J	`jnl`	Heuristic Parameter-Choice Rules for Convex Variational Regularization Based on Error Estimates. SIAM J. Numer. Anal. Bangti Jin, Dirk A. Lorenz
2010	J	`jnl`	Image sequence interpolation using optimal control CoRR Kanglin Chen, Dirk A. Lorenz
2010	J	`jnl`	On Conditions for Convergence to Consensus. IEEE Trans. Autom. Control. Jan Lorenz, Dirk A. Lorenz
2009	J	`jnl`	A generalized conditional gradient method and its connection to an iterative shrinkage method. Comput. Optim. Appl. Kristian Bredies, Dirk A. Lorenz, Peter Maass
2008	J	`jnl`	Iterated Hard Shrinkage for Minimization Problems with Sparsity Constraints. SIAM J. Sci. Comput. Kristian Bredies, Dirk A. Lorenz
2006	—	`conf`	An Optimal Control Problem in Medical Image Processing. Systems, Control, Modeling and Optimization Kristian Bredies, Dirk A. Lorenz, Peter Maass
2004	—	`—`	Wavelet shrinkage in signal & image processing: an investigation of relations and equivalences. Dirk A. Lorenz