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Title	Authors	Journal ▴	Publication year	DOI PMID
Gromov-Wasserstein Distance based Object Matching: Asymptotic Inference	Weitkamp CA, Proksch K, Tameling C, Munk A	arXiv	2020	10.48550/arXiv.2006.12287
Signatures of heterogeneity in the statistical structure of target state aligned ensembles	Lenner N, Häring M, Eule S, Großhans J, Wolf F	arXiv	2023	10.48550/arxiv.2304.09719
Adaptive minimax optimality in statistical inverse problems via SOLIT -- Sharp Optimal Lepskii-Inspired Tuning	Li H, Werner F	arXiv	2023	10.48550/arxiv.2304.10356
The Essential Histogram	Li H, Munk A, Sieling H, Walther G	arXiv	2019	10.48550/arXiv.1612.07216
Seeded Binary Segmentation: A general methodology for fast and optimal change point detection	Kovács S, Li H, Bühlmann P, Munk A	arXiv	2020	10.48550/arXiv.2002.06633
Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov Models	Mösching A, Li H, Munk A	arXiv	2023	10.48550/arxiv.2305.18578
Empirical Optimal Transport between Different Measures Adapts to Lower Complexity	Hundrieser S, Staudt T, Munk A	arXiv	2022	10.48550/arXiv.2202.10434
Deep, Deep Learning with BART	Blumenthal M, Luo G, Schilling M, Holme HCM, Uecker M	arXiv	2022	10.48550/arXiv.2202.14005
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