default search action
Martin 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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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
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
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
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
Phase Separation in Systems of Interacting Active Brownian Particles. SIAM J. Appl. Math. 82(4): 1635-1660 (2022) - [j61]Protim Bhattacharjee
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
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
Adaptive Superresolution in Deconvolution of Sparse Peaks. IEEE Trans. Signal Process. 69: 165-178 (2021) - [c21]Leo Schwinn, An Nguyen
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks. IJCNN 2021: 1-8 - [c20]Leo Schwinn, An Nguyen
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
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis. CoRR abs/2102.12196 (2021) - [i29]Leon Bungert, Tim Roith
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
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
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
Adaptive Regularization of Some Inverse Problems in Image Analysis. IEEE Trans. Image Process. 29: 2507-2521 (2020) - [i23]Leon Bungert
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
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
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
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. SSVM 2019: 291-302 - [c18]Martin Burger, Yury Korolev
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
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
Total Variation Regularisation with Spatially Variable Lipschitz Constraints. CoRR abs/1912.02768 (2019) - 2018
- [j54]Martin Benning
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
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
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
Bias Reduction in Variational Regularization. J. Math. Imaging Vis. 59(3): 534-566 (2017) - [j49]Maria Bruna
Cross-Diffusion Systems with Excluded-Volume Effects and Asymptotic Gradient Flow Structures. J. Nonlinear Sci. 27(2): 687-719 (2017) - [j48]Chien Van Trinh
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
Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems. GCPR 2017: 268-280 - [c16]Martin Benning
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
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
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
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
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
A Variational Framework for Region-Based Segmentation Incorporating Physical Noise Models. J. Math. Imaging Vis. 47(3): 179-209 (2013) - [j35]Martin Benning
Higher-Order TV Methods - Enhancement via Bregman Iteration. J. Sci. Comput. 54(2-3): 269-310 (2013) - [j34]Martin Burger
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
On a mean field game optimal control approach modeling fast exit scenarios in human crowds. CDC 2013: 3128-3133 - 2012
- [j31]Felix Lucka
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
A Variational Approach for Sharpening High Dimensional Images. SIAM J. Imaging Sci. 5(1): 150-178 (2012) - [j28]Fabian Gigengack, Lars Ruthotto
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
A Simplified Pipeline for Motion Correction in Dual Gated Cardiac PET. Bildverarbeitung für die Medizin 2012: 51-56 - [c9]Fabian Gigengack, Lars Ruthotto
Atlas-Based Whole-Body PET-CT Segmentation Using a Passive Contour Distance. MCV 2012: 82-92 - [c8]Daniel Tenbrinck, Alex Sawatzky, Xiaoyi Jiang
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
Primal and Dual Bregman Methods with Application to Optical Nanoscopy. Int. J. Comput. Vis. 92(2): 211-229 (2011) - [j26]Xiaoqun Zhang
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
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction. SIAM J. Imaging Sci. 3(3): 253-276 (2010) - [j23]Martin Burger, Marco Di Francesco
Nonlinear Cross-Diffusion with Size Exclusion. SIAM J. Math. Anal. 42(6): 2842-2871 (2010) - [c7]Mohammad Dawood, Christoph Brune
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
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
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
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
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
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
Training neural networks with noisy data as an ill-posed problem. Adv. Comput. Math. 13(4): 335-354 (2000)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:24 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: