PhD Student Machine Learning // University of Tübingen
Lectures
Data literacy. Winter term 2021/2022. Taught by Philipp Hennig.
Time Series Analysis. Winter term 2020/2021. Taught by Filip Tronarp.
Probabilistic Machine Learning.
Summer term 2020.
Taught by Philipp Hennig.
The lectures are available on youtube (link).
Seminars
Machine Learning for and with Dynamical Systems.
Summer term 2021.
Organised jointly with Nathanael Bosch and Philipp Hennig.
Supervision
Probabilistic inference of spatio-temporal dynamics in state-space models .
MSc thesis by Jonathan Schmidt.
Submitted December 2021.
Physics-Informed neural networks..
Lab rotation by Joanna Sliwa.
Submitted December 2021.
Benchmarking probabilistic ODE solvers.
MSc thesis by Nina Effenberger.
Submitted May 2021.
Probabilistic Modeling Approaches for Data-Driven Dynamical Systems.
Research project by Jonathan Schmidt.
Submitted November 2020. Resulted in this paper.