Niklas Koenen

  • 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

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    Selected BIPS-Publications

  • 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.

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.

Contact

Phone:
+49 (0)421 218-56-933