I'm Marten Lienen, a PhD student at TUM's DAML group. Before that, I worked at BMW's autonomous driving campus on 3D object detection. My main areas of interest are machine learning on graphs, probabilistic modelling and uncertainty estimation.
For quite some time, I have also been interested in the various paradigms of thinking about programming that different programming languages have to offer and I like to read obscure books about them. You can find some of my own code on my github profile.
- Uniform Edge Sampling from Complete k-Partite Graphs
- Starting a User Service on Suspend
- From Jekyll to Nikola
Frontiers in Neuroscience, 13 (2019)
2016 IEEE 41st Conference on Local Computer Networks (LCN)