Spremljaj
Max Hahn-Klimroth
Max Hahn-Klimroth
Preverjeni e-poštni naslov na cs.tu-dortmund.de - Domača stran
Naslov
Navedeno
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Leto
Optimal group testing
A Coja-Oghlan, O Gebhard, M Hahn-Klimroth, P Loick
Conference on Learning Theory, 1374-1388, 2020
652020
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
602020
Random perturbation of sparse graphs
M Hahn-Klimroth, GS Maesaka, Y Mogge, S Mohr, O Parczyk
arXiv preprint arXiv:2004.04672, 2020
182020
Quantitative group testing in the sublinear regime
O Gebhard, M Hahn-Klimroth, D Kaaser, P Loick
arXiv preprint arXiv:1905.01458, 2019
162019
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
152022
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
122022
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
92021
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
92021
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
92020
Optimal non-adaptive group testing
A Coja-Oghlan, O Gebhard, M Hahn-Klimroth, P Loick
arXiv preprint arXiv:1911.02287, 2019
92019
The cut metric for probability distributions
A Coja-Oghlan, M Hahn-Klimroth
SIAM Journal on Discrete Mathematics 35 (2), 1096-1135, 2021
82021
Near optimal efficient decoding from pooled data
M Hahn-Klimroth, N Müller
Conference on Learning Theory, 3395-3409, 2022
62022
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
62022
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
62022
Optimal adaptive group testing
M Hahn-Klimroth, P Loick
arXiv preprint arXiv:1911.06647, 2019
62019
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
52023
Distributed reconstruction of noisy pooled data
M Hahn-Klimroth, D Kaaser
2022 IEEE 42nd International Conference on Distributed Computing Systems …, 2022
42022
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
32023
A large-scale study on the nocturnal behavior of African ungulates in zoos and its influencing factors
J Gübert, M Hahn-Klimroth, PW Dierkes
bioRxiv, 2023.06. 13.544771, 2023
32023
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
32021
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