Martin Burger - RankMe

134 papers A 1B 2C 2Journal 109Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Asymptotic and Stability Analysis of Kinetic Models for Opinion Formation on Networks: An Allen-Cahn Approach. SIAM J. Appl. Dyn. Syst. Martin Burger, Nadia Loy, Alex Rossi
2025	J	`jnl`	Lane Formation and Aggregation Spots in a Model of Ants. SIAM J. Appl. Dyn. Syst. Maria Bruna, Martin Burger, Oscar de Wit
2025	J	`jnl`	Position-Blind Ptychography: Viability of image reconstruction via data-driven variational inference. CoRR Simon Welker, Lorenz Kuger, Tim Roith, Berthy Feng, Martin Burger, Timo Gerkmann, Henry N. Chapman
2025	J	`jnl`	Regularization for time-dependent inverse problems: Geometry of Lebesgue-Bochner spaces and algorithms. CoRR Gesa Sarnighausen, Thorsten Hohage, Martin Burger, Andreas Hauptmann, Anne Wald
2025	J	`jnl`	Weighted total variation regularization for inverse problems with significant null spaces. CoRR Martin Burger, Ole Løseth Elvetun, Bjørn Fredrik Nielsen
2024	J	`jnl`	Hypergraph p-Laplacians and Scale Spaces. J. Math. Imaging Vis. Ariane Fazeny, Daniel Tenbrinck, Kseniia Lukin, Martin Burger
2024	J	`jnl`	Spectral Total-variation Processing of Shapes - Theory and Applications. ACM Trans. Graph. Jonathan Brokman, Martin Burger, Guy Gilboa
2023	—	`conf`	Hypergraph p-Laplacians, Scale Spaces, and Information Flow in Networks. SSVM Ariane Fazeny, Daniel Tenbrinck, Martin Burger
2023	J	`jnl`	Hypergraph p-Laplacians, Scale Spaces, and Information Flow in Networks. CoRR Ariane Fazeny, Daniel Tenbrinck, Martin Burger
2023	J	`jnl`	Learned Regularization for Inverse Problems: Insights from a Spectral Model. CoRR Martin Burger, Samira Kabri
2023	J	`jnl`	Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow. CoRR Tjeerd Jan Heeringa, Tim Roith, Christoph Brune, Martin Burger
2023	—	`conf`	Resolution-Invariant Image Classification Based on Fourier Neural Operators. SSVM Samira Kabri, Tim Roith, Daniel Tenbrinck, Martin Burger
2023	J	`jnl`	Resolution-Invariant Image Classification based on Fourier Neural Operators. CoRR Samira Kabri, Tim Roith, Daniel Tenbrinck, Martin Burger
2022	J	`jnl`	A Bregman Learning Framework for Sparse Neural Networks. J. Mach. Learn. Res. Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger
2022	J	`jnl`	A Diffuse Interface Model for Cell Blebbing Including Membrane-Cortex Coupling with Linker Dynamics. SIAM J. Appl. Math. Philipp Werner, Martin Burger, Florian Frank, Harald Garcke
2022	J	`jnl`	Analysis of Kinetic Models for Label Switching and Stochastic Gradient Descent. CoRR Martin Burger, Alex Rossi
2022	J	`jnl`	Convergent Data-driven Regularizations for CT Reconstruction. CoRR Samira Kabri, Alexander Auras, Danilo Riccio, Hartmut Bauermeister, Martin Benning, Michael Moeller, Martin Burger
2022	J	`jnl`	Phase Separation in Systems of Interacting Active Brownian Particles. SIAM J. Appl. Math. Maria Bruna, Martin Burger, Antonio Esposito, Simon M. Schulz
2022	J	`jnl`	Region-of-Interest Prioritised Sampling for Constrained Autonomous Exploration Systems. IEEE Trans. Computational Imaging Protim Bhattacharjee, Martin Burger, Anko Börner, Veniamin I. Morgenshtern
2022	J	`jnl`	Spectral Total-Variation Processing of Shapes - Theory and Applications. CoRR Jonathan Brokman, Martin Burger, Guy Gilboa
2021	J	`jnl`	A Bregman Learning Framework for Sparse Neural Networks. CoRR Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger
2021	J	`jnl`	A Diffuse Interface Model for Cell Blebbing Including Membrane-Cortex Coupling with Linker Dynamics. CoRR Philipp Werner, Martin Burger, Florian Frank, Harald Garcke
2021	J	`jnl`	Adaptive Superresolution in Deconvolution of Sparse Peaks. IEEE Trans. Signal Process. Alexandra Koulouri, Pia Heins, Martin Burger
2021	J	`jnl`	Convex regularization in statistical inverse learning problems. CoRR Tatiana A. Bubba, Martin Burger, Tapio Helin, Luca Ratti
2021	B	`conf`	Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks. IJCNN Leo Schwinn, An Nguyen, René Raab, Dario Zanca, Bjoern M. Eskofier, Daniel Tenbrinck, Martin Burger
2021	J	`jnl`	Gradient Flows, Nonlinear Power Methods, and Computation of Nonlinear Eigenfunctions. CoRR Leon Bungert, Martin Burger
2021	J	`jnl`	Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis. CoRR Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern M. Eskofier
2021	A	`conf`	Identifying untrustworthy predictions in neural networks by geometric gradient analysis. UAI Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Björn M. Eskofier
2021	J	`jnl`	Learning convex regularizers satisfying the variational source condition for inverse problems. CoRR Subhadip Mukherjee, Carola-Bibiane Schönlieb, Martin Burger
2021	J	`jnl`	Mean-Field Optimal Control and Optimality Conditions in the Space of Probability Measures. SIAM J. Control. Optim. Martin Burger, René Pinnau, Claudia Totzeck, Oliver Tse
2021	J	`jnl`	Neural Architecture Search via Bregman Iterations. CoRR Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger
2021	J	`jnl`	Variational Regularization in Inverse Problems and Machine Learning. CoRR Martin Burger
2020	J	`jnl`	Adaptive Regularization of Some Inverse Problems in Image Analysis. IEEE Trans. Image Process. Byung-Woo Hong, Ja-Keoung Koo, Martin Burger, Stefano Soatto
2020	J	`jnl`	Adaptive Superresolution in Deconvolution of Sparse Peaks. CoRR Alexandra Koulouri, Pia Heins, Martin Burger
2020	J	`jnl`	Instantaneous control of interacting particle systems in the mean-field limit. J. Comput. Phys. Martin Burger, René Pinnau, Claudia Totzeck, Oliver Tse, Andreas Roth
2020	J	`jnl`	Mean-field optimal control for biological pattern formation. CoRR Martin Burger, Lisa Maria Kreusser, Claudia Totzeck
2020	J	`jnl`	On a Reaction-Cross-Diffusion System Modeling the Growth of Glioblastoma. SIAM J. Appl. Math. Martin Burger, Patricia Friele, Jan-Frederik Pietschmann
2020	J	`jnl`	On inverse problems for semiconductor equations. CoRR Martin Burger, Heinz W. Engl, Antonio Leitão, Peter A. Markowich
2020	J	`jnl`	Sampled Nonlocal Gradients for Stronger Adversarial Attacks. CoRR Leo Schwinn, Daniel Tenbrinck, An Nguyen, René Raab, Martin Burger, Bjoern M. Eskofier
2020	J	`jnl`	Sequentially optimized projections in X-ray imaging. CoRR Martin Burger, Andreas Hauptmann, Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska
2020	J	`jnl`	Variational regularisation for inverse problems with imperfect forward operators and general noise models. CoRR Leon Bungert, Martin Burger, Yury Korolev, Carola-Bibiane Schoenlieb
2019	—	`conf`	A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions. SSVM Martin Burger, Yury Korolev, Carola-Bibiane Schönlieb, Christiane Stollenwerk
2019	J	`jnl`	A total variation based regularizer promoting piecewise-Lipschitz reconstructions. CoRR Martin Burger, Yury Korolev, Carola-Bibiane Schönlieb, Christiane Stollenwerk
2019	J	`jnl`	An entropic projection method for linear ill-posed problems. CoRR Martin Burger, Elena Resmerita, Martin Benning
2019	—	`conf`	Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. SSVM Leon Bungert, Martin Burger, Daniel Tenbrinck
2019	J	`jnl`	Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. CoRR Leon Bungert, Martin Burger, Daniel Tenbrinck
2019	J	`jnl`	Reconstruction Methods in THz Single-pixel Imaging. CoRR Martin Burger, Lea Föcke, Lukas Nickel, Peter Jung, Sven Augustin
2019	—	`ed.`	Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 - July 4, 2019, Proceedings SSVM Jan Lellmann, Martin Burger, Jan Modersitzki
2019	J	`jnl`	Total Variation Regularisation with Spatially Variable Lipschitz Constraints. CoRR Martin Burger, Yury Korolev, Simone Parisotto, Carola-Bibiane Schönlieb
2019	J	`jnl`	Unified Models for Second-Order TV-Type Regularisation in Imaging: A New Perspective Based on Vector Operators. J. Math. Imaging Vis. Eva-Maria Brinkmann, Martin Burger, Joana Sarah Grah
2019	J	`jnl`	Variational Graph Methods for Efficient Point Cloud Sparsification. CoRR Daniel Tenbrinck, Fjedor Gaede, Martin Burger
2018	J	`jnl`	A Variational Model for Joint Motion Estimation and Image Reconstruction. SIAM J. Imaging Sci. Martin Burger, Hendrik Dirks, Carola-Bibiane Schönlieb
2018	J	`jnl`	Convergence rates and structure of solutions of inverse problems with imperfect forward models. CoRR Martin Burger, Yury Korolev, Julian Rasch
2018	J	`jnl`	Modern regularization methods for inverse problems. Acta Numer. Martin Benning, Martin Burger
2018	J	`jnl`	Sorting Phenomena in a Mathematical Model For Two Mutually Attracting/Repelling Species. SIAM J. Math. Anal. Martin Burger, Marco Di Francesco, Simone Fagioli, Angela Stevens
2017	—	`conf`	Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems. GCPR Byung-Woo Hong, Ja-Keoung Koo, Hendrik Dirks, Martin Burger
2017	J	`jnl`	Adaptive Regularization of Some Inverse Problems in Image Analysis. CoRR Byung-Woo Hong, Ja-Keoung Koo, Martin Burger, Stefano Soatto
2017	J	`jnl`	Analysis of the Diffuse Domain Method for Second Order Elliptic Boundary Value Problems. Found. Comput. Math. Martin Burger, Ole Løseth Elvetun, Matthias Schlottbom
2017	J	`jnl`	Bias Reduction in Variational Regularization. J. Math. Imaging Vis. Eva-Maria Brinkmann, Martin Burger, Julian Rasch, Camille Sutour
2017	J	`jnl`	Block Compressive Sensing of Image and Video with Nonlocal Lagrangian Multiplier and Patch-based Sparse Representation. CoRR Chien Van Trinh, Khanh Quoc Dinh, Byeungwoo Jeon, Martin Burger
2017	J	`jnl`	Block compressive sensing of image and video with nonlocal Lagrangian multiplier and patch-based sparse representation. Signal Process. Image Commun. Chien Van Trinh, Khanh Quoc Dinh, Byeungwoo Jeon, Martin Burger
2017	J	`jnl`	Cross-Diffusion Systems with Excluded-Volume Effects and Asymptotic Gradient Flow Structures. J. Nonlinear Sci. Maria Bruna, Martin Burger, Helene Ranetbauer, Marie-Therese Wolfram
2017	—	`conf`	Nonlinear Spectral Image Fusion. SSVM Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
2017	J	`jnl`	Nonlinear Spectral Image Fusion. CoRR Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
2016	J	`jnl`	A Variational Model for Joint Motion Estimation and Image Reconstruction. CoRR Martin Burger, Hendrik Dirks, Carola-Bibiane Schönlieb
2016	J	`jnl`	Adaptive Parameter Balancing for Composite Optimization Problems in Imaging. CoRR Byung-Woo Hong, Ja-Keoung Koo, Hendrik Dirks, Martin Burger
2016	J	`jnl`	An Optimization Approach for Well-Targeted Transcranial Direct Current Stimulation. SIAM J. Appl. Math. Sven Wagner, Martin Burger, Carsten H. Wolters
2016	J	`jnl`	Infimal Convolution Regularisation Functionals of BV and L J. Math. Imaging Vis. Martin Burger, Konstantinos Papafitsoros, Evangelos Papoutsellis, Carola-Bibiane Schönlieb
2016	J	`jnl`	Lane Formation by Side-Stepping. SIAM J. Math. Anal. Martin Burger, Sabine Hittmeir, Helene Ranetbauer, Marie-Therese Wolfram
2016	J	`jnl`	Nonlinear Spectral Analysis via One-Homogeneous Functionals: Overview and Future Prospects. J. Math. Imaging Vis. Guy Gilboa, Michael Möller, Martin Burger
2016	J	`jnl`	On a Boltzmann Mean Field Model for Knowledge Growth. SIAM J. Appl. Math. Martin Burger, Alexander Lorz, Marie-Therese Wolfram
2016	J	`jnl`	Spectral Decompositions Using One-Homogeneous Functionals. SIAM J. Imaging Sci. Martin Burger, Guy Gilboa, Michael Möller, Lina Eckardt, Daniel Cremers
2016	J	`jnl`	Spectral Decompositions using One-Homogeneous Functionals. CoRR Martin Burger, Guy Gilboa, Michael Möller, Lina Eckardt, Daniel Cremers
2016	J	`jnl`	Using reciprocity for relating the simulation of transcranial current stimulation to the EEG forward problem. NeuroImage Sven Wagner, Felix Lucka, Johannes Vorwerk, Christoph S. Herrmann, G. Nolte, Martin Burger, Carsten H. Wolters
2015	—	`conf`	Infimal Convolution Regularisation Functionals of BV and L System Modelling and Optimization Martin Burger, Konstantinos Papafitsoros, Evangelos Papoutsellis, Carola-Bibiane Schönlieb
2015	—	`ch.`	Iterative Solution Methods. Handbook of Mathematical Methods in Imaging Martin Burger, Barbara Kaltenbacher, Andreas Neubauer
2015	J	`jnl`	Nonlinear Spectral Analysis via One-homogeneous Functionals - Overview and Future Prospects. CoRR Guy Gilboa, Michael Möller, Martin Burger
2015	J	`jnl`	On Optical Flow Models for Variational Motion Estimation. CoRR Martin Burger, Hendrik Dirks, Lena Frerking
2015	—	`conf`	Regularization with Sparse Vector Fields: From Image Compression to TV-type Reconstruction. SSVM Eva-Maria Brinkmann, Martin Burger, Joana Sarah Grah
2015	J	`jnl`	Second-Order Edge-Penalization in the Ambrosio-Tortorelli functional. Multiscale Model. Simul. Martin Burger, Teresa Esposito, Caterina Ida Zeppieri
2015	—	`conf`	Spectral Representations of One-Homogeneous Functionals. SSVM Martin Burger, Lina Eckardt, Guy Gilboa, Michael Möller
2014	J	`jnl`	A framework for automated cell tracking in phase contrast microscopic videos based on normal velocities. J. Vis. Commun. Image Represent. Michael Möller, Martin Burger, Peter Dieterich, Albrecht Schwab
2014	J	`jnl`	Color Bregman TV. SIAM J. Imaging Sci. Michael Möller, Eva-Maria Brinkmann, Martin Burger, Tamara Seybold
2014	J	`jnl`	First order algorithms in variational image processing. CoRR Martin Burger, Alex Sawatzky, Gabriele Steidl
2014	—	`conf`	Registration of Noisy Images via Maximum A-Posteriori Estimation. WBIR Sebastian Suhr, Daniel Tenbrinck, Martin Burger, Jan Modersitzki
2014	J	`jnl`	Stationary States and Asymptotic Behavior of Aggregation Models with Nonlinear Local Repulsion. SIAM J. Appl. Dyn. Syst. Martin Burger, Razvan Fetecau, Yanghong Huang
2013	J	`jnl`	A Hyperelastic Regularization Energy for Image Registration. SIAM J. Sci. Comput. Martin Burger, Jan Modersitzki, Lars Ruthotto
2013	J	`jnl`	A Variational Framework for Region-Based Segmentation Incorporating Physical Noise Models. J. Math. Imaging Vis. Alex Sawatzky, Daniel Tenbrinck, Xiaoyi Jiang, Martin Burger
2013	J	`jnl`	An adaptive inverse scale space method for compressed sensing. Math. Comput. Martin Burger, Michael Möller, Martin Benning, Stanley J. Osher
2013	J	`jnl`	Higher-Order TV Methods - Enhancement via Bregman Iteration. J. Sci. Comput. Martin Benning, Christoph Brune, Martin Burger, Jahn Müller
2013	J	`jnl`	Multiscale Methods for Polyhedral Regularizations. SIAM J. Optim. Michael Möller, Martin Burger
2013	—	`conf`	On a mean field game optimal control approach modeling fast exit scenarios in human crowds. CDC Martin Burger, Marco Di Francesco, Peter A. Markowich, Marie-Therese Wolfram
2012	J	`jnl`	A Framework for Automated Cell Tracking in Phase Contrast Microscopic Videos based on Normal Velocities CoRR Michael Möller, Martin Burger, Peter Dieterich, Albrecht Schwab
2012	—	`conf`	A Simplified Pipeline for Motion Correction in Dual Gated Cardiac PET. Bildverarbeitung für die Medizin Lars Ruthotto, Fabian Gigengack, Martin Burger, Carsten H. Wolters, Xiaoyi Jiang, Klaus P. Schäfers, Jan Modersitzki
2012	J	`jnl`	A Variational Approach for Sharpening High Dimensional Images. SIAM J. Imaging Sci. Michael Möller, Todd Wittman, Andrea L. Bertozzi, Martin Burger
2012	—	`conf`	Atlas-Based Whole-Body PET-CT Segmentation Using a Passive Contour Distance. MCV Fabian Gigengack, Lars Ruthotto, Xiaoyi Jiang, Jan Modersitzki, Martin Burger, Sven Hermann, Klaus P. Schäfers
2012	J	`jnl`	Hierarchical Bayesian inference for the EEG inverse problem using realistic FE head models: Depth localization and source separation for focal primary currents. NeuroImage Felix Lucka, Sampsa Pursiainen, Martin Burger, Carsten H. Wolters
2012	—	`conf`	Impact of Physical Noise Modeling on Image Segmentation in Echocardiography. VCBM Daniel Tenbrinck, Alex Sawatzky, Xiaoyi Jiang, Martin Burger, Wladimir Haffner, Patrick Willems, Matthias Paul, Jörg Stypmann
2012	J	`jnl`	Influences of skull segmentation inaccuracies on EEG source analysis. NeuroImage B. Lanfer, M. Scherg, Moritz Dannhauer, Thomas R. Knösche, Martin Burger, Carsten H. Wolters
2012	J	`jnl`	Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration. IEEE Trans. Medical Imaging Fabian Gigengack, Lars Ruthotto, Martin Burger, Carsten H. Wolters, Xiaoyi Jiang, Klaus P. Schäfers
2011	J	`jnl`	A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration. J. Sci. Comput. Xiaoqun Zhang, Martin Burger, Stanley J. Osher
2011	J	`jnl`	Parallel medical image reconstruction: from graphics processing units (GPU) to Grids. J. Supercomput. Maraike Schellmann, Sergei Gorlatch, Dominik Meiländer, Thomas Kösters, Klaus P. Schäfers, Frank Wübbeling, Martin Burger
2011	J	`jnl`	Primal and Dual Bregman Methods with Application to Optical Nanoscopy. Int. J. Comput. Vis. Christoph Brune, Alex Sawatzky, Martin Burger
2010	—	`conf`	A Continuity Equation Based Optical Flow Method for Cardiac Motion Correction in 3D PET Data. MIAR Mohammad Dawood, Christoph Brune, Xiaoyi Jiang, Florian Büther, Martin Burger, Otmar Schober, Michael Schäfers, Klaus P. Schäfers
2010	J	`jnl`	Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction. SIAM J. Imaging Sci. Xiaoqun Zhang, Martin Burger, Xavier Bresson, Stanley J. Osher
2010	J	`jnl`	Nonlinear Cross-Diffusion with Size Exclusion. SIAM J. Math. Anal. Martin Burger, Marco Di Francesco, Jan-Frederik Pietschmann, Bärbel Schlake
2009	—	`conf`	Bregman-EM-TV Methods with Application to Optical Nanoscopy. SSVM Christoph Brune, Alex Sawatzky, Martin Burger
2009	J	`jnl`	Cahn--Hilliard Inpainting and a Generalization for Grayvalue Images. SIAM J. Imaging Sci. Martin Burger, Lin He, Carola-Bibiane Schönlieb
2009	B	`conf`	Parallel Medical Image Reconstruction: From Graphics Processors to Grids. PaCT Maraike Schellmann, Sergei Gorlatch, Dominik Meiländer, Thomas Kösters, Klaus P. Schäfers, Frank Wübbeling, Martin Burger
2009	C	`conf`	Total Variation Processing of Images with Poisson Statistics. CAIP Alex Sawatzky, Christoph Brune, Jahn Müller, Martin Burger
2008	C	`conf`	Discovering a Point Source in Unknown Environments. WAFR Martin Burger, Yanina Landa, Nicolay M. Tanushev, Richard Tsai
2008	J	`jnl`	Finite Element-Based Level Set Methods for Higher Order Flows. J. Sci. Comput. Martin Burger, Christina Stöcker, Axel Voigt
2008	J	`jnl`	Large time behavior of nonlocal aggregation models with nonlinear diffusion. Networks Heterog. Media Martin Burger, Marco Di Francesco
2008	J	`jnl`	Shape from Defocus via Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. Paolo Favaro, Stefano Soatto, Martin Burger, Stanley J. Osher
2007	J	`jnl`	A level set approach to anisotropic flows with curvature regularization. J. Comput. Phys. Martin Burger, Frank Haußer, Christina Stöcker, Axel Voigt
2007	J	`jnl`	Error estimation for Bregman iterations and inverse scale space methods in image restoration. Computing Martin Burger, Elena Resmerita, Lin He
2007	J	`jnl`	Inverse Problems Related to Ion Channel Selectivity. SIAM J. Appl. Math. Martin Burger, Robert S. Eisenberg, Heinz W. Engl
2007	J	`jnl`	Inverse Total Variation Flow. Multiscale Model. Simul. Martin Burger, Klaus Frick, Stanley J. Osher, Otmar Scherzer
2006	J	`jnl`	Iterative Total Variation Regularization with Non-Quadratic Fidelity. J. Math. Imaging Vis. Lin He, Martin Burger, Stanley J. Osher
2006	J	`jnl`	Mesoscale Averaging of Nucleation and Growth Models. Multiscale Model. Simul. Martin Burger, Vincenzo Capasso, Livio Pizzocchero
2006	J	`jnl`	Phase-Field Relaxation of Topology Optimization with Local Stress Constraints. SIAM J. Control. Optim. Martin Burger, Roman Stainko
2006	J	`jnl`	Regularizing Newton-Kaczmarz Methods for Nonlinear Ill-Posed Problems. SIAM J. Numer. Anal. Martin Burger, Barbara Kaltenbacher
2006	J	`jnl`	The Keller-Segel Model for Chemotaxis with Prevention of Overcrowding: Linear vs. Nonlinear Diffusion. SIAM J. Math. Anal. Martin Burger, Marco Di Francesco, Yasmin Dolak-Struss
2005	J	`jnl`	An Iterative Regularization Method for Total Variation-Based Image Restoration. Multiscale Model. Simul. Stanley J. Osher, Martin Burger, Donald Goldfarb, Jinjun Xu, Wotao Yin
2005	—	`conf`	Nonlinear Inverse Scale Space Methods for Image Restoration. VLSM Martin Burger, Stanley J. Osher, Jinjun Xu, Guy Gilboa
2005	J	`jnl`	Regularized Greedy Algorithms for Network Training with Data Noise. Computing Martin Burger, Andreas Hofinger
2004	—	`conf`	Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion. ECCV (1) Paolo Favaro, Martin Burger, Stefano Soatto
2003	J	`jnl`	Analysis of Tikhonov regularization for function approximation by neural networks. Neural Networks Martin Burger, Andreas Neubauer
2003	J	`jnl`	Fast Optimal Design of Semiconductor Devices. SIAM J. Appl. Math. Martin Burger, René Pinnau
2002	J	`jnl`	Numerical Approximation of an SQP-Type Method for Parameter Identification. SIAM J. Numer. Anal. Martin Burger, Wolfram Mühlhuber
2001	J	`jnl`	Error Bounds for Approximation with Neural Networks. J. Approx. Theory Martin Burger, Andreas Neubauer
2001	J	`jnl`	Iterative Regularization of a Parameter Identification Problem Occurring in Polymer Crystallization. SIAM J. Numer. Anal. Martin Burger
2001	J	`jnl`	Regularization Methods for Blind Deconvolution and Blind Source Separation Problems. Math. Control. Signals Syst. Martin Burger, Otmar Scherzer
2000	J	`jnl`	Training neural networks with noisy data as an ill-posed problem. Adv. Comput. Math. Martin Burger, Heinz W. Engl