activity
20192025
most citedInformation-theoretic and algorithmic thresholds for group testing

30 citations · 37 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.PE2025

A semi-automatic approach to study population dynamics based on population pyramids

Max Hahn-Klimroth, João Pedro Meireles, Laurie Bingaman Lackey +3

The depiction of populations - of humans or animals - as "population pyramids" is a useful tool for the assessment of various characteristics of populations at a glance. Although t…

cs.SI2024

Inevitability of Polarization in Geometric Opinion Exchange

Abdou Majeed Alidou, Júlia Baligács, Max Hahn-Klimroth +3

Polarization and unexpected correlations between opinions on diverse topics (including in politics, culture and consumer choices) are an object of sustained attention. However, num…

cs.LG2023★ 3 cited

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

In several branches of the social sciences and humanities, surveys based on standardized questionnaires are a prominent research tool. While there are a variety of ways to analyze…

cs.DS2020★ 4 cited

Near optimal sparsity-constrained group testing: improved bounds and algorithms

Oliver Gebhard, Max Hahn-Klimroth, Olaf Parczyk +4

Recent advances in noiseless non-adaptive group testing have led to a precise asymptotic characterization of the number of tests required for high-probability recovery in the subli…

cs.DM2019★ 30 cited

Information-theoretic and algorithmic thresholds for group testing

Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth +1

In the group testing problem we aim to identify a small number of infected individuals within a large population. We avail ourselves to a procedure that can test a group of multipl…