Unconditional exact tests for the difference of binomial probabilities - contrasted and compared. - G. Skipka; Axel Munk; G. Freitag (Comput. Stat. Data Anal., 2004)

Testing general hypotheses under binomial sampling: the two sample case - asymptotic theory and exact procedures. - Axel Munk; G. Skipka; Bernd Stratmann (Comput. Stat. Data Anal., 2005)

Testing parametric assumptions on band- or time-limited signals under noise. - Nicolai Bissantz; Hajo Holzmann; Axel Munk (IEEE Trans. Inf. Theory, 2005)

Convergence Rates of General Regularization Methods for Statistical Inverse Problems and Applications. - Nicolai Bissantz; Thorsten Hohage; Axel Munk; Frits Ruymgaart (SIAM J. Numer. Anal., 2007)

Global Models for the Orientation Field of Fingerprints: An Approach Based on Quadratic Differentials. - Stephan Huckemann; Thomas Hotz; Axel Munk (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

The Fuzzy Vault for Fingerprints is Vulnerable to Brute Force Attack. - Preda Mihailescu; Axel Munk; Benjamin Tams (BIOSIG, 2009)

Convergence Analysis of Generalized Iteratively Reweighted Least Squares Algorithms on Convex Function Spaces. - Nicolai Bissantz; Lutz Dümbgen; Axel Munk; Bernd Stratmann (SIAM J. Optim., 2009)

Iteratively Regularized Gauss-Newton Method for Nonlinear Inverse Problems with Random Noise. - Frank Bauer; Thorsten Hohage; Axel Munk (SIAM J. Numer. Anal., 2009)

Robust orientation field estimation and extrapolation using semilocal line sensors. - Carsten Gottschlich; Preda Mihailescu; Axel Munk (IEEE Trans. Inf. Forensics Secur., 2009)

Improved Fingerprint Image Segmentation and Reconstruction of Low Quality Areas. - Krzysztof Mieloch; Axel Munk; Preda Mihailescu (ICPR, 2010)

Intrinsic MANOVA for Riemannian Manifolds with an Application to Kendall's Space of Planar Shapes. - Stephan Huckemann; Thomas Hotz; Axel Munk (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Statistical Analyses of Fingerprint Growth. - Thomas Hotz; Carsten Gottschlich; Robert Lorenz 002; Stefanie Bernhardt; Michael Hantschel; Axel Munk (BIOSIG, 2011)

Statistical Multiresolution Dantzig Estimation in Imaging: Fundamental Concepts and Algorithmic Framework. - Klaus Frick; Philipp Marnitz; Axel Munk (CoRR, 2011)

Modeling the Growth of Fingerprints Improves Matching for Adolescents. - Carsten Gottschlich; Thomas Hotz; Robert Lorenz 002; Stefanie Bernhardt; Michael Hantschel; Axel Munk (IEEE Trans. Inf. Forensics Secur., 2011)

Locally adaptive image denoising by a statistical multiresolution criterion. - Thomas Hotz; Philipp Marnitz; Rahel Stichtenoth; Laurie Davies; Zakhar Kabluchko; Axel Munk (Comput. Stat. Data Anal., 2012)

Statistical Multiresolution Estimation for Variational Imaging: With an Application in Poisson-Biophotonics. - Klaus Frick; Philipp Marnitz; Axel Munk (J. Math. Imaging Vis., 2013)

Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images. - Pascal Peter; Joachim Weickert; Axel Munk; Tatyana Krivobokova; Housen Li (EMMCVPR, 2014)

Multiscale DNA partitioning: statistical evidence for segments. - Andreas Futschik; Thomas Hotz; Axel Munk; Hannes Sieling (Bioinform., 2014)

Persistent Homology meets Statistical Inference - A Case Study: Detecting Modes of One-Dimensional Signals. - Ulrich Bauer; Axel Munk; Hannes Sieling; Max Wardetzky (CoRR, 2014)

Security Considerations in Minutiae-Based Fuzzy Vaults. - Benjamin Tams; Preda Mihailescu; Axel Munk (IEEE Trans. Inf. Forensics Secur., 2015)

Limit laws of the empirical Wasserstein distance: Gaussian distributions. - Thomas Rippl; Axel Munk; Anja Sturm (J. Multivar. Anal., 2016)

Persistence Barcodes Versus Kolmogorov Signatures: Detecting Modes of One-Dimensional Signals. - Ulrich Bauer; Axel Munk; Hannes Sieling; Max Wardetzky (Found. Comput. Math., 2017)

Kernel Partial Least Squares for Stationary Data. - Marco Singer; Tatyana Krivobokova; Axel Munk (J. Mach. Learn. Res., 2017)

Identifiability for Blind Source Separation of Multiple Finite Alphabet Linear Mixtures. - Merle Behr; Axel Munk (IEEE Trans. Inf. Theory, 2017)

Computational Strategies for Statistical Inference Based on Empirical Optimal Transport. - Carla Tameling; Axel Munk (DSW, 2018)

Optimal Transport: Fast Probabilistic Approximation with Exact Solvers. - Max Sommerfeld; Jörn Schrieber; Yoav Zemel; Axel Munk (J. Mach. Learn. Res., 2019)

Variational Multiscale Nonparametric Regression: Algorithms and Implementation. - Miguel del Alamo; Housen Li; Axel Munk; Frank Werner 002 (Algorithms, 2020)

Optimistic search strategy: Change point detection for large-scale data via adaptive logarithmic queries. - Solt Kovács; Housen Li; Lorenz Haubner; Axel Munk; Peter Bühlmann (CoRR, 2020)

Empirical Regularized Optimal Transport: Statistical Theory and Applications. - Marcel Klatt; Carla Tameling; Axel Munk (SIAM J. Math. Data Sci., 2020)

Minimax detection of localized signals in statistical inverse problems. - Markus Pohlmann; Frank Werner 002; Axel Munk (CoRR, 2021)

Multiple haplotype reconstruction from allele frequency data. - Marta Pelizzola; Merle Behr; Housen Li; Axel Munk; Andreas Futschik (Nat. Comput. Sci., 2021)

Colocalization for super-resolution microscopy via optimal transport. - Carla Tameling; Stefan Stoldt; Till Stephan; Julia Naas; Stefan Jakobs; Axel Munk (Nat. Comput. Sci., 2021)

Limit laws for empirical optimal solutions in random linear programs. - Marcel Klatt; Axel Munk; Yoav Zemel (Ann. Oper. Res., 2022)

Towards quantitative super-resolution microscopy: Molecular maps with statistical guarantees. - Katharina Proksch; Frank Werner 002; Jan Keller-Findeisen; Haisen Ta; Axel Munk (CoRR, 2022)

Statistical Methods for Minimax Estimation in Linear Models with Unknown Design Over Finite Alphabets. - Merle Behr; Axel Munk (SIAM J. Math. Data Sci., 2022)

Randomized Wasserstein Barycenter Computation: Resampling with Statistical Guarantees. - Florian Heinemann; Axel Munk; Yoav Zemel (SIAM J. Math. Data Sci., 2022)

Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov Models. - Alexandre Mösching; Housen Li; Axel Munk (CoRR, 2023)

A scalable clustering algorithm to approximate graph cuts. - Leo Suchan; Housen Li; Axel Munk (CoRR, 2023)

Statistical Analysis of Random Objects Via Metric Measure Laplacians. - Gilles Mordant; Axel Munk (SIAM J. Math. Data Sci., 2023)

The Ultrametric Gromov-Wasserstein Distance. - Facundo Mémoli; Axel Munk; Zhengchao Wan; Christoph Weitkamp (Discret. Comput. Geom., 2023)

Nonlinear Inverse Optimal Transport: Identifiability of the Transport Cost from Its Marginals and Optimal Values. - Alberto González-Sanz; Michel Groppe; Axel Munk (SIAM J. Math. Anal., 2024)

On the Uniqueness of Kantorovich Potentials. - Thomas Staudt; Shayan Hundrieser; Axel Munk (SIAM J. Math. Anal., 2025)