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ORCIDMartin Burger 0001
Person information
- affiliation: Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
- affiliation (2006-2018): University of Münster, Germany
Other persons with the same name
- Martin Burger 0002 — Saarland University, Department of Computer Science, Saarbrücken, Germany
- Martin Burger 0003 — University of Hamburg, DESY, Germany
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2020 – today
- 2024
[j66]Ariane Fazeny, Daniel Tenbrinck, Kseniia Lukin, Martin Burger:
Hypergraph p-Laplacians and Scale Spaces. J. Math. Imaging Vis. 66(4): 529-549 (2024)- [j65]Jonathan Brokman
, Martin Burger, Guy Gilboa:
Spectral Total-variation Processing of Shapes - Theory and Applications. ACM Trans. Graph. 43(2): 22:1-22:20 (2024) - 2023
- [c23]Samira Kabri, Tim Roith, Daniel Tenbrinck, Martin Burger:
Resolution-Invariant Image Classification Based on Fourier Neural Operators. SSVM 2023: 236-249 - [c22]Ariane Fazeny, Daniel Tenbrinck, Martin Burger:
Hypergraph p-Laplacians, Scale Spaces, and Information Flow in Networks. SSVM 2023: 677-690 - [i38]Samira Kabri, Tim Roith, Daniel Tenbrinck, Martin Burger:
Resolution-Invariant Image Classification based on Fourier Neural Operators. CoRR abs/2304.01227 (2023) - [i37]Ariane Fazeny, Daniel Tenbrinck, Martin Burger:
Hypergraph p-Laplacians, Scale Spaces, and Information Flow in Networks. CoRR abs/2309.15419 (2023) - [i36]Tjeerd Jan Heeringa, Tim Roith, Christoph Brune, Martin Burger:
Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow. CoRR abs/2312.02671 (2023) - [i35]Martin Burger, Samira Kabri:
Learned Regularization for Inverse Problems: Insights from a Spectral Model. CoRR abs/2312.09845 (2023) - 2022
- [j64]Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger:
A Bregman Learning Framework for Sparse Neural Networks. J. Mach. Learn. Res. 23: 192:1-192:43 (2022) - [j63]Philipp Werner, Martin Burger, Florian Frank, Harald Garcke:
A Diffuse Interface Model for Cell Blebbing Including Membrane-Cortex Coupling with Linker Dynamics. SIAM J. Appl. Math. 82(3): 1091-1112 (2022) - [j62]Maria Bruna, Martin Burger, Antonio Esposito, Simon M. Schulz:
Phase Separation in Systems of Interacting Active Brownian Particles. SIAM J. Appl. Math. 82(4): 1635-1660 (2022) - [j61]Protim Bhattacharjee, Martin Burger, Anko Börner, Veniamin I. Morgenshtern:
Region-of-Interest Prioritised Sampling for Constrained Autonomous Exploration Systems. IEEE Trans. Computational Imaging 8: 302-316 (2022) - [i34]Martin Burger, Alex Rossi:
Analysis of Kinetic Models for Label Switching and Stochastic Gradient Descent. CoRR abs/2207.00389 (2022) - [i33]Jonathan Brokman, Martin Burger, Guy Gilboa:
Spectral Total-Variation Processing of Shapes - Theory and Applications. CoRR abs/2209.07517 (2022) - [i32]Samira Kabri, Alexander Auras, Danilo Riccio, Hartmut Bauermeister, Martin Benning, Michael Moeller, Martin Burger:
Convergent Data-driven Regularizations for CT Reconstruction. CoRR abs/2212.07786 (2022) - 2021
- [j60]Martin Burger, René Pinnau, Claudia Totzeck, Oliver Tse:
Mean-Field Optimal Control and Optimality Conditions in the Space of Probability Measures. SIAM J. Control. Optim. 59(2): 977-1006 (2021) - [j59]Alexandra Koulouri, Pia Heins, Martin Burger:
Adaptive Superresolution in Deconvolution of Sparse Peaks. IEEE Trans. Signal Process. 69: 165-178 (2021) - [c21]Leo Schwinn, An Nguyen, René Raab, Dario Zanca, Bjoern M. Eskofier, Daniel Tenbrinck, Martin Burger:
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks. IJCNN 2021: 1-8 - [c20]Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Björn M. Eskofier:
Identifying untrustworthy predictions in neural networks by geometric gradient analysis. UAI 2021: 854-864 - [i31]Tatiana A. Bubba, Martin Burger, Tapio Helin, Luca Ratti:
Convex regularization in statistical inverse learning problems. CoRR abs/2102.09526 (2021) - [i30]Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern M. Eskofier:
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis. CoRR abs/2102.12196 (2021) - [i29]Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger:
A Bregman Learning Framework for Sparse Neural Networks. CoRR abs/2105.04319 (2021) - [i28]Leon Bungert, Martin Burger:
Gradient Flows, Nonlinear Power Methods, and Computation of Nonlinear Eigenfunctions. CoRR abs/2105.08405 (2021) - [i27]Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger:
Neural Architecture Search via Bregman Iterations. CoRR abs/2106.02479 (2021) - [i26]Philipp Werner, Martin Burger, Florian Frank, Harald Garcke:
A Diffuse Interface Model for Cell Blebbing Including Membrane-Cortex Coupling with Linker Dynamics. CoRR abs/2107.06334 (2021) - [i25]Subhadip Mukherjee, Carola-Bibiane Schönlieb, Martin Burger:
Learning convex regularizers satisfying the variational source condition for inverse problems. CoRR abs/2110.12520 (2021) - [i24]Martin Burger:
Variational Regularization in Inverse Problems and Machine Learning. CoRR abs/2112.04591 (2021) - 2020
- [j58]Martin Burger, René Pinnau, Claudia Totzeck, Oliver Tse, Andreas Roth:
Instantaneous control of interacting particle systems in the mean-field limit. J. Comput. Phys. 405: 109181 (2020) - [j57]Martin Burger, Patricia Friele, Jan-Frederik Pietschmann:
On a Reaction-Cross-Diffusion System Modeling the Growth of Glioblastoma. SIAM J. Appl. Math. 80(1): 160-182 (2020) - [j56]Byung-Woo Hong, Ja-Keoung Koo, Martin Burger, Stefano Soatto:
Adaptive Regularization of Some Inverse Problems in Image Analysis. IEEE Trans. Image Process. 29: 2507-2521 (2020) - [i23]Leon Bungert, Martin Burger, Yury Korolev, Carola-Bibiane Schoenlieb:
Variational regularisation for inverse problems with imperfect forward operators and general noise models. CoRR abs/2005.14131 (2020) - [i22]Martin Burger, Andreas Hauptmann, Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska:
Sequentially optimized projections in X-ray imaging. CoRR abs/2006.12579 (2020) - [i21]Alexandra Koulouri, Pia Heins, Martin Burger:
Adaptive Superresolution in Deconvolution of Sparse Peaks. CoRR abs/2007.05636 (2020) - [i20]Martin Burger, Lisa Maria Kreusser, Claudia Totzeck:
Mean-field optimal control for biological pattern formation. CoRR abs/2009.09894 (2020) - [i19]Leo Schwinn, Daniel Tenbrinck, An Nguyen, René Raab, Martin Burger, Bjoern M. Eskofier:
Sampled Nonlocal Gradients for Stronger Adversarial Attacks. CoRR abs/2011.02707 (2020) - [i18]Martin Burger, Heinz W. Engl, Antonio Leitão, Peter A. Markowich:
On inverse problems for semiconductor equations. CoRR abs/2011.11370 (2020)
2010 – 2019
- 2019
- [j55]Eva-Maria Brinkmann, Martin Burger, Joana Sarah Grah:
Unified Models for Second-Order TV-Type Regularisation in Imaging: A New Perspective Based on Vector Operators. J. Math. Imaging Vis. 61(5): 571-601 (2019) - [c19]Leon Bungert, Martin Burger, Daniel Tenbrinck:
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. SSVM 2019: 291-302 - [c18]Martin Burger, Yury Korolev, Carola-Bibiane Schönlieb, Christiane Stollenwerk:
A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions. SSVM 2019: 485-497 - [e1]Jan Lellmann, Martin Burger, Jan Modersitzki:
Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 - July 4, 2019, Proceedings. Lecture Notes in Computer Science 11603, Springer 2019, ISBN 978-3-030-22367-0 [contents] - [i17]Leon Bungert, Martin Burger, Daniel Tenbrinck:
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. CoRR abs/1902.10414 (2019) - [i16]Daniel Tenbrinck, Fjedor Gaede, Martin Burger:
Variational Graph Methods for Efficient Point Cloud Sparsification. CoRR abs/1903.02858 (2019) - [i15]Martin Burger, Yury Korolev, Carola-Bibiane Schönlieb, Christiane Stollenwerk:
A total variation based regularizer promoting piecewise-Lipschitz reconstructions. CoRR abs/1903.05079 (2019) - [i14]Martin Burger, Lea Föcke, Lukas Nickel, Peter Jung, Sven Augustin:
Reconstruction Methods in THz Single-pixel Imaging. CoRR abs/1903.08893 (2019) - [i13]Martin Burger, Elena Resmerita, Martin Benning:
An entropic projection method for linear ill-posed problems. CoRR abs/1906.10032 (2019) - [i12]Martin Burger, Yury Korolev, Simone Parisotto, Carola-Bibiane Schönlieb:
Total Variation Regularisation with Spatially Variable Lipschitz Constraints. CoRR abs/1912.02768 (2019) - 2018
- [j54]Martin Benning, Martin Burger:
Modern regularization methods for inverse problems. Acta Numer. 27: 1-111 (2018) - [j53]Martin Burger, Hendrik Dirks, Carola-Bibiane Schönlieb:
A Variational Model for Joint Motion Estimation and Image Reconstruction. SIAM J. Imaging Sci. 11(1): 94-128 (2018) - [j52]Martin Burger, Marco Di Francesco, Simone Fagioli, Angela Stevens:
Sorting Phenomena in a Mathematical Model For Two Mutually Attracting/Repelling Species. SIAM J. Math. Anal. 50(3): 3210-3250 (2018) - [i11]Martin Burger, Yury Korolev, Julian Rasch:
Convergence rates and structure of solutions of inverse problems with imperfect forward models. CoRR abs/1806.10038 (2018) - 2017
- [j51]Martin Burger, Ole Løseth Elvetun, Matthias Schlottbom:
Analysis of the Diffuse Domain Method for Second Order Elliptic Boundary Value Problems. Found. Comput. Math. 17(3): 627-674 (2017) - [j50]Eva-Maria Brinkmann, Martin Burger, Julian Rasch, Camille Sutour:
Bias Reduction in Variational Regularization. J. Math. Imaging Vis. 59(3): 534-566 (2017) - [j49]Maria Bruna, Martin Burger, Helene Ranetbauer, Marie-Therese Wolfram:
Cross-Diffusion Systems with Excluded-Volume Effects and Asymptotic Gradient Flow Structures. J. Nonlinear Sci. 27(2): 687-719 (2017) - [j48]Chien Van Trinh, Khanh Quoc Dinh, Byeungwoo Jeon, Martin Burger:
Block compressive sensing of image and video with nonlocal Lagrangian multiplier and patch-based sparse representation. Signal Process. Image Commun. 54: 93-106 (2017) - [c17]Byung-Woo Hong, Ja-Keoung Koo, Hendrik Dirks, Martin Burger:
Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems. GCPR 2017: 268-280 - [c16]Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb:
Nonlinear Spectral Image Fusion. SSVM 2017: 41-53 - [i10]Chien Van Trinh, Khanh Quoc Dinh, Byeungwoo Jeon, Martin Burger:
Block Compressive Sensing of Image and Video with Nonlocal Lagrangian Multiplier and Patch-based Sparse Representation. CoRR abs/1703.05130 (2017) - [i9]Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb:
Nonlinear Spectral Image Fusion. CoRR abs/1703.08001 (2017) - [i8]Byung-Woo Hong, Ja-Keoung Koo, Martin Burger, Stefano Soatto:
Adaptive Regularization of Some Inverse Problems in Image Analysis. CoRR abs/1705.03350 (2017) - 2016
- [j47]Martin Burger, Konstantinos Papafitsoros, Evangelos Papoutsellis, Carola-Bibiane Schönlieb:
Infimal Convolution Regularisation Functionals of BV and Lp Spaces - Part I: The Finite p Case. J. Math. Imaging Vis. 55(3): 343-369 (2016) - [j46]Guy Gilboa, Michael Möller, Martin Burger:
Nonlinear Spectral Analysis via One-Homogeneous Functionals: Overview and Future Prospects. J. Math. Imaging Vis. 56(2): 300-319 (2016) - [j45]Sven Wagner, Felix Lucka, Johannes Vorwerk, Christoph S. Herrmann, G. Nolte, Martin Burger, Carsten H. Wolters:
Using reciprocity for relating the simulation of transcranial current stimulation to the EEG forward problem. NeuroImage 140: 163-173 (2016) - [j44]Martin Burger, Alexander Lorz, Marie-Therese Wolfram:
On a Boltzmann Mean Field Model for Knowledge Growth. SIAM J. Appl. Math. 76(5): 1799-1818 (2016) - [j43]Sven Wagner, Martin Burger, Carsten H. Wolters:
An Optimization Approach for Well-Targeted Transcranial Direct Current Stimulation. SIAM J. Appl. Math. 76(6): 2154-2174 (2016) - [j42]Martin Burger, Guy Gilboa, Michael Möller, Lina Eckardt, Daniel Cremers:
Spectral Decompositions Using One-Homogeneous Functionals. SIAM J. Imaging Sci. 9(3): 1374-1408 (2016) - [j41]Martin Burger, Sabine Hittmeir, Helene Ranetbauer, Marie-Therese Wolfram:
Lane Formation by Side-Stepping. SIAM J. Math. Anal. 48(2): 981-1005 (2016) - [i7]Martin Burger, Guy Gilboa, Michael Möller, Lina Eckardt, Daniel Cremers:
Spectral Decompositions using One-Homogeneous Functionals. CoRR abs/1601.02912 (2016) - [i6]Martin Burger, Hendrik Dirks, Carola-Bibiane Schönlieb:
A Variational Model for Joint Motion Estimation and Image Reconstruction. CoRR abs/1607.03255 (2016) - [i5]Byung-Woo Hong, Ja-Keoung Koo, Hendrik Dirks, Martin Burger:
Adaptive Parameter Balancing for Composite Optimization Problems in Imaging. CoRR abs/1609.02356 (2016) - 2015
- [j40]Martin Burger, Teresa Esposito, Caterina Ida Zeppieri:
Second-Order Edge-Penalization in the Ambrosio-Tortorelli functional. Multiscale Model. Simul. 13(4): 1354-1389 (2015) - [c15]Martin Burger, Konstantinos Papafitsoros, Evangelos Papoutsellis, Carola-Bibiane Schönlieb:
Infimal Convolution Regularisation Functionals of BV and Lp Spaces. The Case p=∞. System Modelling and Optimization 2015: 169-179 - [c14]Martin Burger, Lina Eckardt, Guy Gilboa, Michael Möller:
Spectral Representations of One-Homogeneous Functionals. SSVM 2015: 16-27 - [c13]Eva-Maria Brinkmann, Martin Burger, Joana Sarah Grah:
Regularization with Sparse Vector Fields: From Image Compression to TV-type Reconstruction. SSVM 2015: 191-202 - [r1]Martin Burger, Barbara Kaltenbacher, Andreas Neubauer:
Iterative Solution Methods. Handbook of Mathematical Methods in Imaging 2015: 431-470 - [i4]Guy Gilboa, Michael Möller, Martin Burger:
Nonlinear Spectral Analysis via One-homogeneous Functionals - Overview and Future Prospects. CoRR abs/1510.01077 (2015) - [i3]Martin Burger, Hendrik Dirks, Lena Frerking:
On Optical Flow Models for Variational Motion Estimation. CoRR abs/1512.00298 (2015) - 2014
- [j39]Michael Möller, Martin Burger, Peter Dieterich, Albrecht Schwab:
A framework for automated cell tracking in phase contrast microscopic videos based on normal velocities. J. Vis. Commun. Image Represent. 25(2): 396-409 (2014) - [j38]Martin Burger, Razvan Fetecau, Yanghong Huang:
Stationary States and Asymptotic Behavior of Aggregation Models with Nonlinear Local Repulsion. SIAM J. Appl. Dyn. Syst. 13(1): 397-424 (2014) - [j37]Michael Möller, Eva-Maria Brinkmann, Martin Burger, Tamara Seybold:
Color Bregman TV. SIAM J. Imaging Sci. 7(4): 2771-2806 (2014) - [c12]Sebastian Suhr, Daniel Tenbrinck, Martin Burger, Jan Modersitzki:
Registration of Noisy Images via Maximum A-Posteriori Estimation. WBIR 2014: 231-240 - [i2]Martin Burger, Alex Sawatzky, Gabriele Steidl:
First order algorithms in variational image processing. CoRR abs/1412.4237 (2014) - 2013
- [j36]Alex Sawatzky, Daniel Tenbrinck, Xiaoyi Jiang, Martin Burger:
A Variational Framework for Region-Based Segmentation Incorporating Physical Noise Models. J. Math. Imaging Vis. 47(3): 179-209 (2013) - [j35]Martin Benning, Christoph Brune, Martin Burger, Jahn Müller:
Higher-Order TV Methods - Enhancement via Bregman Iteration. J. Sci. Comput. 54(2-3): 269-310 (2013) - [j34]Martin Burger, Michael Möller, Martin Benning, Stanley J. Osher:
An adaptive inverse scale space method for compressed sensing. Math. Comput. 82(281): 269-299 (2013) - [j33]Michael Möller, Martin Burger:
Multiscale Methods for Polyhedral Regularizations. SIAM J. Optim. 23(3): 1424-1456 (2013) - [j32]Martin Burger, Jan Modersitzki, Lars Ruthotto:
A Hyperelastic Regularization Energy for Image Registration. SIAM J. Sci. Comput. 35(1) (2013) - [c11]Martin Burger, Marco Di Francesco, Peter A. Markowich, Marie-Therese Wolfram:
On a mean field game optimal control approach modeling fast exit scenarios in human crowds. CDC 2013: 3128-3133 - 2012
- [j31]Felix Lucka, Sampsa Pursiainen, Martin Burger, Carsten H. Wolters:
Hierarchical Bayesian inference for the EEG inverse problem using realistic FE head models: Depth localization and source separation for focal primary currents. NeuroImage 61(4): 1364-1382 (2012) - [j30]B. Lanfer, M. Scherg, Moritz Dannhauer, Thomas R. Knösche, Martin Burger, Carsten H. Wolters:
Influences of skull segmentation inaccuracies on EEG source analysis. NeuroImage 62(1): 418-431 (2012) - [j29]Michael Möller, Todd Wittman, Andrea L. Bertozzi, Martin Burger:
A Variational Approach for Sharpening High Dimensional Images. SIAM J. Imaging Sci. 5(1): 150-178 (2012) - [j28]Fabian Gigengack, Lars Ruthotto, Martin Burger, Carsten H. Wolters, Xiaoyi Jiang, Klaus P. Schäfers:
Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration. IEEE Trans. Medical Imaging 31(3): 698-712 (2012) - [c10]Lars Ruthotto, Fabian Gigengack, Martin Burger, Carsten H. Wolters, Xiaoyi Jiang, Klaus P. Schäfers, Jan Modersitzki:
A Simplified Pipeline for Motion Correction in Dual Gated Cardiac PET. Bildverarbeitung für die Medizin 2012: 51-56 - [c9]Fabian Gigengack, Lars Ruthotto, Xiaoyi Jiang, Jan Modersitzki, Martin Burger, Sven Hermann, Klaus P. Schäfers:
Atlas-Based Whole-Body PET-CT Segmentation Using a Passive Contour Distance. MCV 2012: 82-92 - [c8]Daniel Tenbrinck, Alex Sawatzky, Xiaoyi Jiang, Martin Burger, Wladimir Haffner, Patrick Willems, Matthias Paul, Jörg Stypmann:
Impact of Physical Noise Modeling on Image Segmentation in Echocardiography. VCBM 2012: 33-40 - [i1]Michael Möller, Martin Burger, Peter Dieterich, Albrecht Schwab:
A Framework for Automated Cell Tracking in Phase Contrast Microscopic Videos based on Normal Velocities. CoRR abs/1203.5914 (2012) - 2011
- [j27]Christoph Brune, Alex Sawatzky, Martin Burger:
Primal and Dual Bregman Methods with Application to Optical Nanoscopy. Int. J. Comput. Vis. 92(2): 211-229 (2011) - [j26]Xiaoqun Zhang, Martin Burger, Stanley J. Osher:
A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration. J. Sci. Comput. 46(1): 20-46 (2011) - [j25]Maraike Schellmann, Sergei Gorlatch, Dominik Meiländer, Thomas Kösters, Klaus P. Schäfers, Frank Wübbeling, Martin Burger:
Parallel medical image reconstruction: from graphics processing units (GPU) to Grids. J. Supercomput. 57(2): 151-160 (2011) - 2010
- [j24]Xiaoqun Zhang, Martin Burger, Xavier Bresson, Stanley J. Osher:
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction. SIAM J. Imaging Sci. 3(3): 253-276 (2010) - [j23]Martin Burger, Marco Di Francesco, Jan-Frederik Pietschmann, Bärbel Schlake:
Nonlinear Cross-Diffusion with Size Exclusion. SIAM J. Math. Anal. 42(6): 2842-2871 (2010) - [c7]Mohammad Dawood, Christoph Brune, Xiaoyi Jiang, Florian Büther, Martin Burger, Otmar Schober, Michael Schäfers, Klaus P. Schäfers:
A Continuity Equation Based Optical Flow Method for Cardiac Motion Correction in 3D PET Data. MIAR 2010: 88-97
2000 – 2009
- 2009
- [j22]Martin Burger, Lin He, Carola-Bibiane Schönlieb:
Cahn--Hilliard Inpainting and a Generalization for Grayvalue Images. SIAM J. Imaging Sci. 2(4): 1129-1167 (2009) - [c6]Alex Sawatzky, Christoph Brune, Jahn Müller, Martin Burger:
Total Variation Processing of Images with Poisson Statistics. CAIP 2009: 533-540 - [c5]Maraike Schellmann, Sergei Gorlatch, Dominik Meiländer, Thomas Kösters, Klaus P. Schäfers, Frank Wübbeling, Martin Burger:
Parallel Medical Image Reconstruction: From Graphics Processors to Grids. PaCT 2009: 457-473 - [c4]Christoph Brune, Alex Sawatzky, Martin Burger:
Bregman-EM-TV Methods with Application to Optical Nanoscopy. SSVM 2009: 235-246 - 2008
- [j21]Martin Burger, Christina Stöcker, Axel Voigt:
Finite Element-Based Level Set Methods for Higher Order Flows. J. Sci. Comput. 35(2-3): 77-98 (2008) - [j20]Martin Burger, Marco Di Francesco:
Large time behavior of nonlocal aggregation models with nonlinear diffusion. Networks Heterog. Media 3(4): 749-785 (2008) - [j19]Paolo Favaro, Stefano Soatto, Martin Burger, Stanley J. Osher:
Shape from Defocus via Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 30(3): 518-531 (2008) - [c3]Martin Burger, Yanina Landa, Nicolay M. Tanushev, Richard Tsai:
Discovering a Point Source in Unknown Environments. WAFR 2008: 663-678 - 2007
- [j18]Martin Burger, Elena Resmerita, Lin He:
Error estimation for Bregman iterations and inverse scale space methods in image restoration. Computing 81(2-3): 109-135 (2007) - [j17]Martin Burger, Frank Haußer, Christina Stöcker, Axel Voigt:
A level set approach to anisotropic flows with curvature regularization. J. Comput. Phys. 225(1): 183-205 (2007) - [j16]Martin Burger, Klaus Frick, Stanley J. Osher, Otmar Scherzer:
Inverse Total Variation Flow. Multiscale Model. Simul. 6(2): 366-395 (2007) - [j15]Martin Burger, Robert S. Eisenberg, Heinz W. Engl:
Inverse Problems Related to Ion Channel Selectivity. SIAM J. Appl. Math. 67(4): 960-989 (2007) - 2006
- [j14]Lin He, Martin Burger, Stanley J. Osher:
Iterative Total Variation Regularization with Non-Quadratic Fidelity. J. Math. Imaging Vis. 26(1-2): 167-184 (2006) - [j13]Martin Burger, Vincenzo Capasso, Livio Pizzocchero:
Mesoscale Averaging of Nucleation and Growth Models. Multiscale Model. Simul. 5(2): 564-592 (2006) - [j12]Martin Burger, Roman Stainko:
Phase-Field Relaxation of Topology Optimization with Local Stress Constraints. SIAM J. Control. Optim. 45(4): 1447-1466 (2006) - [j11]Martin Burger, Marco Di Francesco, Yasmin Dolak-Struss:
The Keller-Segel Model for Chemotaxis with Prevention of Overcrowding: Linear vs. Nonlinear Diffusion. SIAM J. Math. Anal. 38(4): 1288-1315 (2006) - [j10]Martin Burger, Barbara Kaltenbacher:
Regularizing Newton-Kaczmarz Methods for Nonlinear Ill-Posed Problems. SIAM J. Numer. Anal. 44(1): 153-182 (2006) - 2005
- [j9]Martin Burger, Andreas Hofinger:
Regularized Greedy Algorithms for Network Training with Data Noise. Computing 74(1): 1-22 (2005) - [j8]Stanley J. Osher, Martin Burger, Donald Goldfarb, Jinjun Xu, Wotao Yin:
An Iterative Regularization Method for Total Variation-Based Image Restoration. Multiscale Model. Simul. 4(2): 460-489 (2005) - [c2]Martin Burger, Stanley J. Osher, Jinjun Xu, Guy Gilboa:
Nonlinear Inverse Scale Space Methods for Image Restoration. VLSM 2005: 25-36 - 2004
- [c1]Paolo Favaro, Martin Burger, Stefano Soatto:
Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion. ECCV (1) 2004: 257-269 - 2003
- [j7]Martin Burger, Andreas Neubauer:
Analysis of Tikhonov regularization for function approximation by neural networks. Neural Networks 16(1): 79-90 (2003) - [j6]Martin Burger, René Pinnau:
Fast Optimal Design of Semiconductor Devices. SIAM J. Appl. Math. 64(1): 108-126 (2003) - 2002
- [j5]Martin Burger, Wolfram Mühlhuber:
Numerical Approximation of an SQP-Type Method for Parameter Identification. SIAM J. Numer. Anal. 40(5): 1775-1797 (2002) - 2001
- [j4]Martin Burger, Andreas Neubauer:
Error Bounds for Approximation with Neural Networks. J. Approx. Theory 112(2): 235-250 (2001) - [j3]Martin Burger, Otmar Scherzer:
Regularization Methods for Blind Deconvolution and Blind Source Separation Problems. Math. Control. Signals Syst. 14(4): 358-383 (2001) - [j2]Martin Burger:
Iterative Regularization of a Parameter Identification Problem Occurring in Polymer Crystallization. SIAM J. Numer. Anal. 39(3): 1029-1055 (2001) - 2000
- [j1]Martin Burger, Heinz W. Engl:
Training neural networks with noisy data as an ill-posed problem. Adv. Comput. Math. 13(4): 335-354 (2000)
Coauthor Index
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