I am a first year ELLIS PhD student in Probabilistic Machine Learning at the University of Amsterdam supervised by Eric Nalisnick and Dan Zhang. Previously, I worked with Maja Rudolph on my Master’s thesis project at the Bosch Center for Artificial Intelligence.
I completed a Master’s in Statistics at Technical University Berlin and Humboldt University Berlin as well as a French engineering diploma at ENSAE. In my Bachelor’s, I studied Economics and Political Science at Humboldt University Berlin and the University of Munich.
Schirmer, M., Eltayeb, M., Lessmann, S., & Rudolph, M. (2022, June). Modeling irregular time series with continuous recurrent units. In International Conference on Machine Learning (pp. 19388-19405). PMLR. [Paper]
Schirmer, M., Eltayeb, M., & Rudolph, M. (2021, September). Continuous-Discrete Recurrent Kalman Networks for Irregular Time Series. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 300-305). Springer, Cham. [Workshop Paper]