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)

|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