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 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)

Note on the offspring distribution for group testing in the linear regime. - Oliver Gebhard; Philipp Loick (CoRR, 2021)

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

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

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)

Improved Bounds for Noisy Group Testing With Constant Tests per Item. - Oliver Gebhard; Oliver Johnson; Philipp Loick; Maurice Rolvien (IEEE Trans. Inf. Theory, 2022)

On the evidence for a statistical-computational gap raised by the group testing problem. - Oliver Gebhard (2022)

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)