| Optimal group testing A Coja-Oghlan, O Gebhard, M Hahn-Klimroth, P Loick Conference on Learning Theory, 1374-1388, 2020 | 88 | 2020 |
| Information-theoretic and algorithmic thresholds for group testing A Coja-Oghlan, O Gebhard, M Hahn-Klimroth, P Loick IEEE Transactions on Information Theory 66 (12), 7911-7928, 2020 | 71 | 2020 |
| Statistical and computational phase transitions in group testing A Coja-Oghlan, O Gebhard, M Hahn-Klimroth, AS Wein, I Zadik Conference on Learning Theory, 4764-4781, 2022 | 38 | 2022 |
| The number of satisfying assignments of random 2‐SAT formulas D Achlioptas, A Coja‐Oghlan, M Hahn‐Klimroth, J Lee, N Müller, ... Random structures & algorithms 58 (4), 609-647, 2021 | 27 | 2021 |
| Random perturbation of sparse graphs M Hahn-Klimroth, GS Maesaka, Y Mogge, S Mohr, O Parczyk arXiv preprint arXiv:2004.04672, 2020 | 26 | 2020 |
| Near-optimal sparsity-constrained group testing: Improved bounds and algorithms O Gebhard, M Hahn-Klimroth, O Parczyk, M Penschuck, M Rolvien, ... IEEE Transactions on Information Theory 68 (5), 3253-3280, 2022 | 19 | 2022 |
| Deep learning‐based pose estimation for African ungulates in zoos M Hahn‐Klimroth, T Kapetanopoulos, J Gübert, PW Dierkes Ecology and evolution 11 (11), 6015-6032, 2021 | 19 | 2021 |
| Quantitative group testing in the sublinear regime O Gebhard, M Hahn-Klimroth, D Kaaser, P Loick arXiv preprint arXiv:1905.01458, 2019 | 18 | 2019 |
| A notion of feature importance by decorrelation and detection of trends by random forest regression Y Gerstorfer, L Krieg, M Hahn-Klimroth arXiv preprint arXiv:2303.01156, 2023 | 16 | 2023 |
| Near optimal efficient decoding from pooled data M Hahn-Klimroth, N Müller Conference on Learning Theory, 3395-3409, 2022 | 15 | 2022 |
| On the parallel reconstruction from pooled data O Gebhard, M Hahn-Klimroth, D Kaaser, P Loick 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022 | 13 | 2022 |
| BOVIDS: A deep learning‐based software package for pose estimation to evaluate nightly behavior and its application to common elands (Tragelaphus oryx) in zoos J Gübert, M Hahn‐Klimroth, PW Dierkes Ecology and evolution 12 (3), e8701, 2022 | 13 | 2022 |
| A large-scale study on the nocturnal behavior of African ungulates in zoos and its influencing factors J Gübert, M Hahn-Klimroth, PW Dierkes Frontiers in Ethology 2, 1219977, 2023 | 12 | 2023 |
| Perceptions of biodiversity loss among future decision-makers in 37 countries MW Kleespies, M Hahn-Klimroth, PW Dierkes npj Biodiversity 3 (1), 21, 2024 | 10 | 2024 |
| Noisy group testing via spatial coupling A Coja-Oghlan, M Hahn-Klimroth, L Hintze, D Kaaser, L Krieg, M Rolvien, ... Combinatorics, Probability and Computing 34 (2), 210-258, 2025 | 9 | 2025 |
| Inference of a rumor’s source in the independent cascade model P Berenbrink, M Hahn-Klimroth, D Kaaser, L Krieg, M Rau Uncertainty in Artificial Intelligence, 152-162, 2023 | 9 | 2023 |
| Generation and validation of a formula to calculate hemoglobin loss on a cohort of healthy adults subjected to controlled blood loss M Hahn-Klimroth, P Loick, SZ Kim-Wanner, E Seifried, H Bonig Journal of translational medicine 19 (1), 116, 2021 | 9 | 2021 |
| The cut metric for probability distributions A Coja-Oghlan, M Hahn-Klimroth SIAM Journal on Discrete Mathematics 35 (2), 1096-1135, 2021 | 9 | 2021 |
| Inference and mutual information on random factor graphs A Coja-Oghlan, M Hahn-Klimroth, P Loick, N Müller, K Panagiotou, ... arXiv preprint arXiv:2007.07494, 2020 | 9 | 2020 |
| Optimal non-adaptive group testing A Coja-Oghlan, O Gebhard, M Hahn-Klimroth, P Loick arXiv preprint arXiv:1911.02287, 2019 | 9 | 2019 |
Amin Coja-OghlanTU DortmundVerified email at tu-dortmund.de
