Author Munk, Axel

• 2018 | Conference Paper
  ​ ​COMPUTATIONAL STRATEGIES FOR STATISTICAL INFERENCE BASED ON EMPIRICAL OPTIMAL TRANSPORT​
  Tameling, C. & Munk, A.​ (2018)
  pp. 175​-179. ​2018 IEEE Data Science Workshop (DSW)​, Lausanne.
  IEEE. DOI: https://doi.org/10.1109/DSW.2018.8439912 
  ​Details  DOI 

• 2022 | Journal Article
  ​ ​Distribution of Distances based Object Matching: Asymptotic Inference​
  Weitkamp, C. A.; Proksch, K.; Tameling, C. & Munk, A.​ (2022) 
  Journal of the American Statistical Association, pp. 1​-14​.​ DOI: https://doi.org/10.1080/01621459.2022.2127360 
  ​Details  DOI 

• 2022 | Journal Article | 
  ​ ​Kantorovich–Rubinstein Distance and Barycenter for Finitely Supported Measures: Foundations and Algorithms​
  Heinemann, F.; Klatt, M. & Munk, A.​ (2022) 
  Applied Mathematics & Optimization, 87(1).​ DOI: https://doi.org/10.1007/s00245-022-09911-x 
  ​Details  DOI 

• 2022 | Journal Article
  ​ ​Randomized Wasserstein Barycenter Computation: Resampling with Statistical Guarantees​
  Heinemann, F.; Munk, A. & Zemel, Y.​ (2022) 
  SIAM Journal on Mathematics of Data Science, 4(1) pp. 229​-259​.​ DOI: https://doi.org/10.1137/20M1385263 
  ​Details  DOI 

• 2023 | Journal Article
  ​ ​Toward quantitative super-resolution microscopy: molecular maps with statistical guarantees​
  Proksch, K.; Werner, F.; Keller–Findeisen, J.; Ta, H. & Munk, A.​ (2023) 
  Microscopy, art. dfad053​.​ DOI: https://doi.org/10.1093/jmicro/dfad053 
  ​Details  DOI 

• 2023 | Preprint
  ​ ​Multiscale scanning with nuisance parameters​
  König, C.; Munk, A.& Werner, F.​ (2023). DOI: https://doi.org/10.48550/ARXIV.2307.13301 
  ​Details  DOI 

• 2023 | Preprint
  ​ ​A scalable clustering algorithm to approximate graph cuts​
  Suchan, L.; Li, H.& Munk, A.​ (2023). DOI: https://doi.org/10.48550/ARXIV.2308.09613 
  ​Details  DOI 

• 2023 | Journal Article
  ​ ​Minimax detection of localized signals in statistical inverse problems​
  Pohlmann, M.; Werner, F. & Munk, A.​ (2023) 
  Information and Inference, 12(3) art. iaad026​.​ DOI: https://doi.org/10.1093/imaiai/iaad026 
  ​Details  DOI 

• 2023 | Journal Article
  ​ ​Statistical Analysis of Random Objects Via Metric Measure Laplacians​
  Mordant, G. & Munk, A.​ (2023) 
  SIAM Journal on Mathematics of Data Science, 5(2) pp. 528​-557​.​ DOI: https://doi.org/10.1137/22M1491022 
  ​Details  DOI 

• 2023 | Journal Article
  ​ ​The Ultrametric Gromov–Wasserstein Distance​
  Mémoli, F.; Munk, A.; Wan, Z. & Weitkamp, C.​ (2023) 
  Discrete & Computational Geometry, 70(4) pp. 1378​-1450​.​ DOI: https://doi.org/10.1007/s00454-023-00583-0 
  ​Details  DOI 

• 2023 | Preprint
  ​ ​Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov Models​
  Mösching, A.; Li, H.& Munk, A.​ (2023). DOI: https://doi.org/10.48550/arxiv.2305.18578 
  ​Details  DOI  arXiv 

• 2024 | Preprint
  ​ ​MultiMatch: Geometry-Informed Colocalization in Multi-Color Super-Resolution Microscopy​
  Naas, J.; Nies, G.; Li, H.; Stoldt, S.; Schmitzer, B. ; Jakobs, S.& Munk, A.​ (2024). DOI: https://doi.org/10.1101/2024.02.28.581557 
  ​Details  DOI 

• 2024 | Journal Article
  ​ ​Limit distributions and sensitivity analysis for empirical entropic optimal transport on countable spaces​
  Hundrieser, S.; Klatt, M. & Munk, A.​ (2024) 
  The Annals of Applied Probability, 34(1B).​ DOI: https://doi.org/10.1214/23-AAP1995 
  ​Details  DOI 

• 2024 | Preprint
  ​ ​Robust inference of cooperative behaviour of multiple ion channels in voltage-clamp recordings​
  Requadt, R.; Fink, M.; Kubica, P.; Steinem, C.; Munk, A.& Li, H.​ (2024)
  ​Details 

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