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Title	Authors	Journal ▾	Publication year	DOI PMID
A Unifying Approach to Distributional Limits for Empirical Optimal Transport	Hundrieser S, Klatt M, Staudt T, Munk A	arXiv	2022	10.48550/arXiv.2202.12790
Convergence of Empirical Optimal Transport in Unbounded Settings	Staudt T, Hundrieser S	arXiv	2023	10.48550/arxiv.2306.11499
Frame-constrained Total Variation Regularization for White Noise Regression	del Álamo M, Li H, Munk A	arXiv	2019	10.48550/arXiv.1807.02038
Measuring photophysical transition rates with fluorescence correlation spectroscopy and antibunching	Sakhapov D, Gregor I, Karedla N, Enderlein J	arXiv	2022	10.48550/arXiv.2203.13480
Infomorphic networks: Locally learning neural networks derived from partial information decomposition	Graetz M, Makkeh A, Schneider AC, Ehrlich DA, Priesemann V, Wibral M	arXiv	2023	10.48550/arxiv.2306.02149
Statistical analysis of random objects via metric measure Laplacians	Mordant G, Munk A	arXiv	2022	10.48550/arXiv.2204.06493
Multiscale scanning with nuisance parameters	König C, Munk A, Werner F	arXiv	2023	10.48550/arxiv.2307.13301
In silico modeling for personalized stenting in aortic coarctation	Ma D, Wang Y, Azhar M, Adler A, Steinmetz M, Uecker M	arXiv	2022	10.48550/arxiv.2205.04518
A scalable clustering algorithm to approximate graph cuts	Suchan L, Li H, Munk A	arXiv	2023	10.48550/arxiv.2308.09613
Analyzing cross-talk between superimposed signals: Vector norm dependent hidden Markov models and applications	Vanegas LJ, Eltzner B, Rudolf D, Dura M, Lehnart SE, Munk A	arXiv	2021	10.48550/arXiv.2103.06071