| 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 |
| 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 |
| Belief Propagation Guided Decimation on Random k-XORSAT A Chatterjee, A Coja-Oghlan, M Kang, L Krieg, M Rolvien, GB Sorkin arXiv preprint arXiv:2501.17657, 2025 | 4 | 2025 |
| The -XORSAT threshold revisited A Coja-Oghlan, M Kang, L Krieg, M Rolvien arXiv preprint arXiv:2301.09287, 2023 | 4 | 2023 |
| Noisy Linear Group Testing: Exact Thresholds and Efficient Algorithms L Hintze, L Krieg, O Scheftelowitsch, H Zhu arXiv preprint arXiv:2411.03839, 2024 | 2 | 2024 |
| Bad local minima exist in the stochastic block model A Coja-Oghlan, L Krieg, JC Lawnik, O Scheftelowitsch Journal of Statistical Physics 191 (11), 148, 2024 | 1 | 2024 |
| Noisy Group Testing in the Linear Regime: Exact Thresholds and Efficient L Hintze, L Krieg, O Scheftelowitsch, H Zhu The Thirty Eighth Annual Conference on Learning Theory, 2805-2821, 2025 | | 2025 |
| Noisy Group Testing in the Linear Regime Exact Thresholds and Efficient Algorithms L Hintze, L Krieg, O Scheftelowitsch, H Zhu Proceedings of Machine Learning Research vol 291, 1-17, 2025 | | 2025 |
| Thresholds and algorithms in Bayesian inference L Krieg Dissertation, Dortmund, Technische Universität, 2025, 0 | | |
