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
The Symbiosis of Deep Learning and Differential Equations Workshop, NeurIPS, 2022
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)