Niklas Koenen
- Department: Biometry and Data Management
- Unit: Emmy Noether Junior Research Group: Beyond Prediction - Statistical Inference with Machine Learning
- 2015-2018: studies mathematics at the University of Bremen (B.Sc.)
- 2018-2021: studies mathematics at the University of Bremen (M.Sc.)
- Since February 2021: Research Associate at BIPS
- Beyond prediction: Statistical inference with machine learning
- Lifespan AI: From longitudinal data to lifespan inference in health
- Post-authorisation safety study of nocdurna for the symptomatic treatment of nocturia due to idiopathic nocturnal polyuria: A multi-country cohort study using secondary data
- Superthyroidism: Health care overuse in thyroid diseases in Germany
Conference proceedings
- Koenen N, Wright MN, Maass P, Behrmann J. Generalization of the change of variables formula with applications to residual flows. Thirty-eighth international conference on machine learning (ICML) workshop on invertible neural networks, normalizing flows, and explicit likelihood models. 2021.
https://openreview.net/forum?id=msCiI5dejr Presentations at scientific meetings/conferences
- Koenen N, Wright MN. Interpreting deep neural networks with the R package innsight. 6. Konferenz der Deutschen Arbeitsgemeinschaft Statistik (DAGStat), 28. März-1. April 2022, Hamburg.
Posters at scientific meetings/conferences
- Koenen N, Wright MN, Maass P, Behrmann J. Generalization of the change of variables formula with applications to residual flows. 38th International Conference on Machine Learning (ICML) Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models (INNF+), 23 July 2021, online poster.
Selected BIPS-Publications
For further publications please follow this link:
- Fall 2021/2022 Interpretable Machine Learning Exercise Sessions (University of Bremen)
The responsibility for the content of this page lies with Niklas Koenen.