Niklas Koenen

• Beyond prediction: Statistical inference with machine learning
• Lifespan AI: From longitudinal data to lifespan inference in health
• Superthyroidism: Health care overuse in thyroid diseases in Germany

Selected BIPS-Publications

• Articles with peer review

• Koenen N, Wright MN. Interpreting deep neural networks with the package innsight. Journal of Statistical Software. 2024;111(8):1-52.
  https://doi.org/10.18637/jss.v111.i08

• Conference proceedings

• Blesch K, Koenen N, Kapar J, Golchian P, Burk L, Loecher M, Wright MN. Conditional feature importance with generative modeling using adversarial random forests. Washington, D.C.. 2025.
  https://doi.org/10.1609/aaai.v39i15.33712
• Koenen N, Wright MN. Toward understanding the disagreement problem in neural network feature attribution. Cham. 2024.
  https://doi.org/10.1007/978-3-031-63800-8_13
• Koenen N, Wright MN, Maass P, Behrmann J. Generalization of the change of variables formula with applications to residual flows. 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. Hamburg. 2022.

• 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. online poster. 2021.

• Further Publications

• Fall 2021/2022 Interpretable Machine Learning Exercise Sessions (University of Bremen)