Max Hahn-Klimroth

48 papers A* 4A 7B 2Journal 35

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A semi-automatic approach to study population dynamics based on population pyramids. CoRR Max Hahn-Klimroth, João Pedro Meireles, Laurie Bingaman Lackey, Nick van Eeuwijk, Mads F. Bertelsen, Paul W. Dierkes, Marcus Clauss
2025	J	`jnl`	Noisy group testing via spatial coupling. Comb. Probab. Comput. Amin Coja-Oghlan, Max Hahn-Klimroth, Lukas Hintze, Dominik Kaaser, Lena Krieg, Maurice Rolvien, Olga Scheftelowitsch
2024	J	`jnl`	An Unsupervised Learning Approach to Evaluate Questionnaire Data - What One Can Learn from Violations of Measurement Invariance. Data Sci. J. Max Hahn-Klimroth, Paul W. Dierkes, Matthias W. Kleespies
2024	A	`conf`	Distributed Pooled Data Intrusion Detection: Lessons Learned from Quantitative Group Testing. ICDCS Max Hahn-Klimroth, Dominik Kaaser, Malin Rau
2024	J	`jnl`	Inevitability of Polarization in Geometric Opinion Exchange. CoRR Abdou Majeed Alidou, Júlia Baligács, Max Hahn-Klimroth, Jan Hazla, Lukas Hintze, Olga Scheftelowitsch
2024	J	`jnl`	Minimum degree conditions for containing an r-regular r-connected spanning subgraph. Eur. J. Comb. Max Hahn-Klimroth, Olaf Parczyk, Yury Person
2024	J	`jnl`	Noisy group testing via spatial coupling. CoRR Amin Coja-Oghlan, Max Hahn-Klimroth, Lukas Hintze, Dominik Kaaser, Lena Krieg, Maurice Rolvien, Olga Scheftelowitsch
2024	J	`jnl`	The full rank condition for sparse random matrices. Comb. Probab. Comput. Amin Coja-Oghlan, Pu Gao, Max Hahn-Klimroth, Joon Lee, Noëla Müller, Maurice Rolvien
2023	J	`jnl`	A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression. CoRR Yannick Gerstorfer, Lena Krieg, Max Hahn-Klimroth
2023	J	`jnl`	A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression. Data Sci. J. Yannick Gerstorfer, Max Hahn-Klimroth, Lena Krieg
2023	J	`jnl`	An unsupervised learning approach to evaluate questionnaire data - what one can learn from violations of measurement invariance. CoRR Max Hahn-Klimroth, Paul W. Dierkes, Matthias W. Kleespies
2023	J	`jnl`	Efficient Approximate Recovery from Pooled Data Using Doubly Regular Pooling Schemes. CoRR Max Hahn-Klimroth, Dominik Kaaser, Malin Rau
2023	A	`conf`	Inference of a rumor's source in the independent cascade model. UAI Petra Berenbrink, Max Hahn-Klimroth, Dominik Kaaser, Lena Krieg, Malin Rau
2023	J	`jnl`	Information-theoretic and algorithmic aspects of parallel and distributed reconstruction from pooled data. J. Parallel Distributed Comput. Oliver Gebhard, Max Hahn-Klimroth, Dominik Kaaser, Philipp Loick
2023	A	`conf`	On Reconstructing the Patient Zero from Sensor Measurements. ICDCS Max Hahn-Klimroth, Dominik Kaaser
2023	J	`jnl`	On a Near-Optimal \& Efficient Algorithm for the Sparse Pooled Data Problem. CoRR Max Hahn-Klimroth, Remco van der Hofstad, Noëla Müller, Connor Riddlesden
2023	A	`conf`	The Full Rank Condition for Sparse Random Matrices. APPROX/RANDOM Amin Coja-Oghlan, Jane Gao, Max Hahn-Klimroth, Joon Lee, Noëla Müller, Maurice Rolvien
2022	A	`conf`	Distributed Reconstruction of Noisy Pooled Data. ICDCS Max Hahn-Klimroth, Dominik Kaaser
2022	J	`jnl`	Distributed Reconstruction of Noisy Pooled Data. CoRR Max Hahn-Klimroth, Dominik Kaaser
2022	B	`conf`	Efficient and Accurate Group Testing via Belief Propagation: An Empirical Study. SEA Amin Coja-Oghlan, Max Hahn-Klimroth, Philipp Loick, Manuel Penschuck
2022	J	`jnl`	Inference of a Rumor's Source in the Independent Cascade Model. CoRR Petra Berenbrink, Max Hahn-Klimroth, Dominik Kaaser, Lena Krieg, Malin Rau
2022	A*	`conf`	Near optimal efficient decoding from pooled data. COLT Max Hahn-Klimroth, Noëla Müller
2022	J	`jnl`	Near-Optimal Sparsity-Constrained Group Testing: Improved Bounds and Algorithms. IEEE Trans. Inf. Theory Oliver Gebhard, Max Hahn-Klimroth, Olaf Parczyk, Manuel Penschuck, Maurice Rolvien, Jonathan Scarlett, Nelvin Tan
2022	B	`conf`	On the Hierarchy of Distributed Majority Protocols. OPODIS Petra Berenbrink, Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Dominik Kaaser, Malin Rau
2022	J	`jnl`	On the Hierarchy of Distributed Majority Protocols. CoRR Petra Berenbrink, Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Dominik Kaaser, Malin Rau
2022	A	`conf`	On the Parallel Reconstruction from Pooled Data. IPDPS Oliver Gebhard, Max Hahn-Klimroth, Dominik Kaaser, Philipp Loick
2022	A*	`conf`	Statistical and Computational Phase Transitions in Group Testing. COLT Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Alexander S. Wein, Ilias Zadik
2022	J	`jnl`	Statistical and Computational Phase Transitions in Group Testing. CoRR Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Alexander S. Wein, Ilias Zadik
2021	J	`jnl`	Efficient and accurate group testing via Belief Propagation: an empirical study. CoRR Amin Coja-Oghlan, Max Hahn-Klimroth, Philipp Loick, Manuel Penschuck
2021	A	`conf`	Inference and Mutual Information on Random Factor Graphs. STACS Amin Coja-Oghlan, Max Hahn-Klimroth, Philipp Loick, Noëla Müller, Konstantinos Panagiotou, Matija Pasch
2021	J	`jnl`	Minimum degree conditions for containing an r-regular r-connected subgraph. CoRR Max Hahn-Klimroth, Olaf Parczyk, Yury Person
2021	J	`jnl`	Near optimal efficient decoding from pooled data. CoRR Max Hahn-Klimroth, Noëla Müller
2021	J	`jnl`	Optimal group testing. Comb. Probab. Comput. Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Philipp Loick
2021	J	`jnl`	Random Perturbation of Sparse Graphs. Electron. J. Comb. Max Hahn-Klimroth, Giulia S. Maesaka, Yannick Mogge, Samuel Mohr, Olaf Parczyk
2021	J	`jnl`	The Cut Metric for Probability Distributions. SIAM J. Discret. Math. Amin Coja-Oghlan, Max Hahn-Klimroth
2021	J	`jnl`	The full rank condition for sparse random matrices. CoRR Amin Coja-Oghlan, Pu Gao, Max Hahn-Klimroth, Joon Lee, Noëla Müller, Maurice Rolvien
2021	J	`jnl`	The number of satisfying assignments of random 2-SAT formulas. Random Struct. Algorithms Dimitris Achlioptas, Amin Coja-Oghlan, Max Hahn-Klimroth, Joon Lee, Noëla Müller, Manuel Penschuck, Guangyan Zhou
2020	J	`jnl`	Inference and mutual information on random factor graphs. CoRR Amin Coja-Oghlan, Max Hahn-Klimroth, Philipp Loick, Noëla Müller, Konstantinos Panagiotou, Matija Pasch
2020	J	`jnl`	Information-Theoretic and Algorithmic Thresholds for Group Testing. IEEE Trans. Inf. Theory Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Philipp Loick
2020	A*	`conf`	Optimal Group Testing. COLT Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Philipp Loick
2020	J	`jnl`	Optimal group testing under real world restrictions. CoRR Oliver Gebhard, Max Hahn-Klimroth, Olaf Parczyk, Manuel Penschuck, Maurice Rolvien
2020	J	`jnl`	The random 2-SAT partition function. CoRR Dimitris Achlioptas, Amin Coja-Oghlan, Max Hahn-Klimroth, Joon Lee, Noëla Müller, Manuel Penschuck, Guangyan Zhou
2019	A*	`conf`	Information-Theoretic and Algorithmic Thresholds for Group Testing. ICALP Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Philipp Loick
2019	J	`jnl`	Information-theoretic and algorithmic thresholds for group testing. CoRR Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Philipp Loick
2019	J	`jnl`	Optimal adaptive group testing. CoRR Max Hahn-Klimroth, Philipp Loick
2019	J	`jnl`	Optimal non-adaptive group testing. CoRR Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Philipp Loick
2019	J	`jnl`	Quantitative Group Testing in the Sublinear Regime. CoRR Oliver Gebhard, Max Hahn-Klimroth, Dominik Kaaser, Philipp Loick
2019	J	`jnl`	The cut metric for probability distributions. CoRR Amin Coja-Oghlan, Max Hahn-Klimroth