Max Hahn-Klimroth

Orcid: 0000-0002-3995-419X

According to our database1, Max Hahn-Klimroth authored at least 30 papers between 2019 and 2024.

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Bibliography

2024
Inevitability of Polarization in Geometric Opinion Exchange.
CoRR, 2024

Noisy group testing via spatial coupling.
CoRR, 2024

2023
A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression.
Data Sci. J., January, 2023

Information-theoretic and algorithmic aspects of parallel and distributed reconstruction from pooled data.
J. Parallel Distributed Comput., 2023

On a Near-Optimal \& Efficient Algorithm for the Sparse Pooled Data Problem.
CoRR, 2023

An unsupervised learning approach to evaluate questionnaire data - what one can learn from violations of measurement invariance.
CoRR, 2023

Efficient Approximate Recovery from Pooled Data Using Doubly Regular Pooling Schemes.
CoRR, 2023

Inference of a rumor's source in the independent cascade model.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

On Reconstructing the Patient Zero from Sensor Measurements.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

The Full Rank Condition for Sparse Random Matrices.
Proceedings of the Approximation, 2023

2022
Near-Optimal Sparsity-Constrained Group Testing: Improved Bounds and Algorithms.
IEEE Trans. Inf. Theory, 2022

Efficient and Accurate Group Testing via Belief Propagation: An Empirical Study.
Proceedings of the 20th International Symposium on Experimental Algorithms, 2022

On the Hierarchy of Distributed Majority Protocols.
Proceedings of the 26th International Conference on Principles of Distributed Systems, 2022

On the Parallel Reconstruction from Pooled Data.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Distributed Reconstruction of Noisy Pooled Data.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Near optimal efficient decoding from pooled data.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Statistical and Computational Phase Transitions in Group Testing.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021
The Cut Metric for Probability Distributions.
SIAM J. Discret. Math., 2021

The number of satisfying assignments of random 2-SAT formulas.
Random Struct. Algorithms, 2021

Optimal group testing.
Comb. Probab. Comput., 2021

The full rank condition for sparse random matrices.
CoRR, 2021

Minimum degree conditions for containing an r-regular r-connected subgraph.
CoRR, 2021

Random Perturbation of Sparse Graphs.
Electron. J. Comb., 2021

Inference and Mutual Information on Random Factor Graphs.
Proceedings of the 38th International Symposium on Theoretical Aspects of Computer Science, 2021

2020
Information-Theoretic and Algorithmic Thresholds for Group Testing.
IEEE Trans. Inf. Theory, 2020

Optimal group testing under real world restrictions.
CoRR, 2020

The random 2-SAT partition function.
CoRR, 2020

2019
Optimal adaptive group testing.
CoRR, 2019

Optimal non-adaptive group testing.
CoRR, 2019

Quantitative Group Testing in the Sublinear Regime.
CoRR, 2019


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