Quantitative Group Testing in the Sublinear Regime. - Oliver Gebhard; Max Hahn-Klimroth; Dominik Kaaser; Philipp Loick (CoRR, 2019)

Optimal non-adaptive group testing. - Amin Coja-Oghlan; Oliver Gebhard; Max Hahn-Klimroth; Philipp Loick (CoRR, 2019)

Optimal adaptive group testing. - Max Hahn-Klimroth; Philipp Loick (CoRR, 2019)

The random 2-SAT partition function. - Dimitris Achlioptas; Amin Coja-Oghlan; Max Hahn-Klimroth; Joon Lee; Noëla Müller; Manuel Penschuck; Guangyan Zhou (CoRR, 2020)

Optimal group testing under real world restrictions. - Oliver Gebhard; Max Hahn-Klimroth; Olaf Parczyk; Manuel Penschuck; Maurice Rolvien (CoRR, 2020)

Information-Theoretic and Algorithmic Thresholds for Group Testing. - Amin Coja-Oghlan; Oliver Gebhard; Max Hahn-Klimroth; Philipp Loick (IEEE Trans. Inf. Theory, 2020)

Inference and Mutual Information on Random Factor Graphs. - Amin Coja-Oghlan; Max Hahn-Klimroth; Philipp Loick; Noëla Müller; Konstantinos Panagiotou; Matija Pasch (STACS, 2021)

Random Perturbation of Sparse Graphs. - Max Hahn-Klimroth; Giulia S. Maesaka; Yannick Mogge; Samuel Mohr; Olaf Parczyk (Electron. J. Comb., 2021)

Minimum degree conditions for containing an r-regular r-connected subgraph. - Max Hahn-Klimroth; Olaf Parczyk; Yury Person (CoRR, 2021)

Optimal group testing. - Amin Coja-Oghlan; Oliver Gebhard; Max Hahn-Klimroth; Philipp Loick (Comb. Probab. Comput., 2021)

The number of satisfying assignments of random 2-SAT formulas. - Dimitris Achlioptas; Amin Coja-Oghlan; Max Hahn-Klimroth; Joon Lee; Noëla Müller; Manuel Penschuck; Guangyan Zhou (Random Struct. Algorithms, 2021)

The Cut Metric for Probability Distributions. - Amin Coja-Oghlan; Max Hahn-Klimroth (SIAM J. Discret. Math., 2021)

Statistical and Computational Phase Transitions in Group Testing. - Amin Coja-Oghlan; Oliver Gebhard; Max Hahn-Klimroth; Alexander S. Wein; Ilias Zadik (COLT, 2022)

Near optimal efficient decoding from pooled data. - Max Hahn-Klimroth; Noëla Müller (COLT, 2022)

Distributed Reconstruction of Noisy Pooled Data. - Max Hahn-Klimroth; Dominik Kaaser (ICDCS, 2022)

On the Parallel Reconstruction from Pooled Data. - Oliver Gebhard; Max Hahn-Klimroth; Dominik Kaaser; Philipp Loick (IPDPS, 2022)

On the Hierarchy of Distributed Majority Protocols. - Petra Berenbrink; Amin Coja-Oghlan; Oliver Gebhard; Max Hahn-Klimroth; Dominik Kaaser; Malin Rau (OPODIS, 2022)

Efficient and Accurate Group Testing via Belief Propagation: An Empirical Study. - Amin Coja-Oghlan; Max Hahn-Klimroth; Philipp Loick; Manuel Penschuck (SEA, 2022)

Near-Optimal Sparsity-Constrained Group Testing: Improved Bounds and Algorithms. - Oliver Gebhard; Max Hahn-Klimroth; Olaf Parczyk; Manuel Penschuck; Maurice Rolvien; Jonathan Scarlett; Nelvin Tan (IEEE Trans. Inf. Theory, 2022)

The Full Rank Condition for Sparse Random Matrices. - Amin Coja-Oghlan; Jane Gao; Max Hahn-Klimroth; Joon Lee; Noëla Müller; Maurice Rolvien (APPROX/RANDOM, 2023)

On Reconstructing the Patient Zero from Sensor Measurements. - Max Hahn-Klimroth; Dominik Kaaser (ICDCS, 2023)

Inference of a rumor's source in the independent cascade model. - Petra Berenbrink; Max Hahn-Klimroth; Dominik Kaaser; Lena Krieg; Malin Rau (UAI, 2023)

Efficient Approximate Recovery from Pooled Data Using Doubly Regular Pooling Schemes. - Max Hahn-Klimroth; Dominik Kaaser; Malin Rau (CoRR, 2023)

On a Near-Optimal & Efficient Algorithm for the Sparse Pooled Data Problem. - Max Hahn-Klimroth; Remco van der Hofstad; Noëla Müller; Connor Riddlesden (CoRR, 2023)

Information-theoretic and algorithmic aspects of parallel and distributed reconstruction from pooled data. - Oliver Gebhard; Max Hahn-Klimroth; Dominik Kaaser; Philipp Loick (J. Parallel Distributed Comput., 2023)

A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression. - Yannick Gerstorfer; Max Hahn-Klimroth; Lena Krieg (Data Sci. J., 2023)

Distributed Pooled Data Intrusion Detection: Lessons Learned from Quantitative Group Testing. - Max Hahn-Klimroth; Dominik Kaaser; Malin Rau (ICDCS, 2024)

Inevitability of Polarization in Geometric Opinion Exchange. - Abdou Majeed Alidou; Júlia Baligács; Max Hahn-Klimroth; Jan Hazla; Lukas Hintze; Olga Scheftelowitsch (CoRR, 2024)

The full rank condition for sparse random matrices. - Amin Coja-Oghlan; Pu Gao; Max Hahn-Klimroth; Joon Lee; Noëla Müller; Maurice Rolvien (Comb. Probab. Comput., 2024)

Minimum degree conditions for containing an r-regular r-connected spanning subgraph. - Max Hahn-Klimroth; Olaf Parczyk; Yury Person (Eur. J. Comb., 2024)

An Unsupervised Learning Approach to Evaluate Questionnaire Data - What One Can Learn from Violations of Measurement Invariance. - Max Hahn-Klimroth; Paul W. Dierkes; Matthias W. Kleespies (Data Sci. J., 2024)

Noisy group testing via spatial coupling. - Amin Coja-Oghlan; Max Hahn-Klimroth; Lukas Hintze; Dominik Kaaser; Lena Krieg; Maurice Rolvien; Olga Scheftelowitsch (Comb. Probab. Comput., 2025)