| Optimal group testing A Coja-Oghlan, O Gebhard, M Hahn-Klimroth, P Loick Conference on Learning Theory, 1374-1388, 2020 | 56 | 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 | 52 | 2020 |
| Random perturbation of sparse graphs M Hahn-Klimroth, GS Maesaka, Y Mogge, S Mohr, O Parczyk arXiv preprint arXiv:2004.04672, 2020 | 18 | 2020 |
| Quantitative group testing in the sublinear regime O Gebhard, M Hahn-Klimroth, D Kaaser, P Loick arXiv preprint arXiv:1905.01458, 2019 | 15 | 2019 |
| 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 | 10 | 2022 |
| 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 | 10 | 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 | 8 | 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 | 8 | 2020 |
| Optimal non-adaptive group testing A Coja-Oghlan, O Gebhard, M Hahn-Klimroth, P Loick arXiv preprint arXiv:1911.02287, 2019 | 8 | 2019 |
| 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 | 7 | 2021 |
| The cut metric for probability distributions A Coja-Oghlan, M Hahn-Klimroth SIAM Journal on Discrete Mathematics 35 (2), 1096-1135, 2021 | 7 | 2021 |
| Optimal adaptive group testing M Hahn-Klimroth, P Loick arXiv preprint arXiv:1911.06647, 2019 | 6 | 2019 |
| 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 | 5 | 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 | 5 | 2022 |
| Near optimal efficient decoding from pooled data M Hahn-Klimroth, N Müller Conference on Learning Theory, 3395-3409, 2022 | 4 | 2022 |
| The full rank condition for sparse random matrices A Coja-Oghlan, P Gao, M Hahn-Klimroth, J Lee, N Müller, M Rolvien arXiv preprint arXiv:2112.14090, 2021 | 3 | 2021 |
| The random 2-SAT partition function D Achlioptas, A Coja-Oghlan, M Hahn-Klimroth, J Lee, N Müller, ... arXiv preprint arXiv:2002.03690, 2020 | 3 | 2020 |
| Optimal group testing under real world restrictions O Gebhard, M Hahn-Klimroth, O Parczyk, M Penschuck, M Rolvien arXiv preprint arXiv:2004.11860, 2020 | 3 | 2020 |
| 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 | 2 | 2023 |
| Distributed reconstruction of noisy pooled data M Hahn-Klimroth, D Kaaser 2022 IEEE 42nd International Conference on Distributed Computing Systems …, 2022 | 2 | 2022 |
Amin Coja-OghlanTU DortmundVerified email at tu-dortmund.de
