Scholar
Marten Lienen
Google Scholar ID: _9ModXgAAAAJ
Technical University of Munich
Citations & Impact
Citations
314
H-index
8
i10-index
7
Publications
14
Co-authors
5
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers at top-tier venues including ICML, ICLR, NeurIPS, and Transactions on Machine Learning Research (TMLR)
- Research focuses on flow matching, Gaussian processes, state space models, generative modeling for time series, deep learning with differential equations, and optimal transport
- Developed torchode: a parallel ODE solver for PyTorch
- Many projects are open-sourced with datasets (e.g., 3D/4D turbulent flow simulation, gesture recognition)
- Several papers received Spotlight presentations
Background
- Cares about solving problems and improving efficiency with software and machine learning
- Values aesthetically pleasing and clean code
- Currently a PhD student in the DAML group at Technical University of Munich (TUM), researching machine learning methods
- Interested in different programming paradigms offered by various programming languages
- Enjoys reading obscure books about programming language theory
