I'm Marten Lienen and I care about solving problems and improving efficiency with software and machine learning. Aesthetically pleasing code makes me extra happy. At the moment, I am a PhD student at TUM's DAML group working on spatiotemporal data modeling and ML+Science in general. Before that, I worked at BMW's autonomous driving campus on 3D object detection.
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.
- Gaussian Processes are Bayesian Linear Regression
- Research Advice for Myself
- Uniform Edge Sampling from Complete k-Partite Graphs
International Conference on Learning Representations (Spotlight), 2022
International Conference on Machine Learning, 2021
Frontiers in Neuroscience, 13 (2019)
2016 IEEE 41st Conference on Local Computer Networks (LCN)