Publications and Preprints

Koster N (2025) Simplifying Machine Learning Models: Balancing Complexity and Performance. Dissertation.
Koster N, Krüger F (2024) Simplifying Random Forests' Probabilistic Forecasts [Preprint][Code]
Bracher J, Koster N, Krüger F, Lerch S (2023): Learning to Forecast: The Probabilistic Time Series Forecasting Challenge. The American Statistician. [Preprint] [Code]
Koster N, Grothe O, Rettinger A (2022) Signing the Supermask: Keep, Hide Invert. International Conference on Learning Representations (ICLR). [Preprint] [Code]

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Koster N, Krüger F (2024) Simplifying Random Forests' Probabilistic Forecasts [Preprint]
Bracher J, Koster N, Krüger F, Lerch S (2023): Learning to Forecast: The Probabilistic Time Series Forecasting Challenge. The American Statistician. [Preprint] [Code]
Koster N, Grothe O, Rettinger A (2022) Signing the Supermask: Keep, Hide Invert. International Conference on Learning Representations (ICLR). [Preprint] [Code]

Short CV

01/2023 - 04/2023	Visiting researcher at the Broad Institute of MIT and Harvard, Supervisor: Caroline Uhler
Since 01/2021	Research Assistant at the Institute of Statistics, Chair of Applied Econometrics KIT
2017 - 2020	Studies of Industrial Engineering at Karlsruhe Institute of Technology (KIT), Degree: M.Sc.
2013 - 2017	Studies of Economics Engineering at Karlsruhe Institute of Technology (KIT), Degree: B.Sc.
2013	Graduated from Otto Hahn Highschool Landau/Palatinate