Augustin Kelava

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 5

Top Topics

Nonparametric Estimation

Supervised Machine Learning

Top Venues

Stat. Anal. Data Min.

IEEE Trans. Affect. Comput.

Trans. Mach. Learn. Res.

Publications

Pascal Kilian, Sangbeak Ye, Augustin Kelava
Mixed effects in machine learning - A flexible mixedML framework to add random effects to supervised machine learning regression. Trans. Mach. Learn. Res. 2023 (2023)
Florian E. Dorner, Tom Sühr, Samira Samadi, Augustin Kelava
Do personality tests generalize to Large Language Models? CoRR (2023)
Pascal Kilian, Daniel Leyhr, Christopher J. Urban, Oliver Höner, Augustin Kelava
A deep learning factor analysis model based on importance-weighted variational inference and normalizing flow priors: Evaluation within a set of multidimensional performance assessments in youth elite soccer players. Stat. Anal. Data Min. 16 (5) (2023)
Sebastian Grissmann, Martin Spüler, Josef Faller, Tanja Krumpe, Thorsten O. Zander, Augustin Kelava, Christian Scharinger, Peter Gerjets
Context Sensitivity of EEG-Based Workload Classification Under Different Affective Valence. IEEE Trans. Affect. Comput. 11 (2) (2020)
Augustin Kelava, Michael Kohler, Adam Krzyzak, Tim Fabian Schaffland
Nonparametric estimation of a latent variable model. J. Multivar. Anal. 154 (2017)