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Knut Baumann

4PUBLICATIONS

2CO-AUTHORS

Mathematical aspects of general relativityAdversarial machine learningStatistical mechanics, physical combinatorics and mathematical aspects of condensed matterContext learning

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Publications (4)

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|Mar 18, 2026

AbDist: a lightweight, distance-based model for antibody affinity prediction as an interpretable benchmark for machine learning models.

Marc Hoffstedt, Jannis Wowra, Hermann Wätzig

|Nov 13, 2021

Evaluating High-Variance Leaves as Uncertainty Measure for Random Forest Regression.

Thomas-Martin Dutschmann, Knut Baumann

|Nov 28, 2017

xMaP-An Interpretable Alignment-Free Four-Dimensional Quantitative Structure-Activity Relationship Technique Based on Molecular Surface Properties and Conformer Ensembles.

Jan Dreher, Josef Scheiber, Nikolaus Stiefl

|Nov 01, 2017

Efficiency of different measures for defining the applicability domain of classification models.

Waldemar Klingspohn, Miriam Mathea, Antonius Ter Laak

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Frequent Collaborators

1 joint publications

Thomas-Martin Dutschmann

1 joint publications

Hermann Wätzig

Frequent Collaborators

1 joint publications

Thomas-Martin Dutschmann

1 joint publications

Hermann Wätzig

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