Glenn Angrabeit
I am a first-year PhD student in the Autonomous Vision Group at the University of Tübingen, supervised by Andreas Geiger. I hold a bachelor's degree in Informatics from the University of Rostock and a master's degree in Machine Learning from the University of Tübingen.
My research is part of the CASIDO project, which aims to use machine learning to accelerate scientific discovery. My main interests lie in the evaluation/trustworthiness of scientific AI agents and the semantic representation of academic papers.
I always try to approach the fast-paced field of AI with a healthy level of skepticism. That involves close inspection of datasets and evaluation metrics plus fair comparison between novel contributions and well-established baselines. As part of my master's thesis, I applied this thinking to the evaluation of Scholar Inbox, a popular academic recommender system. If you have not heard of Scholar Inbox and want to receive personalized suggestions for academic papers, I highly recommend checking it out!
Publications
Markus Flicke, Glenn Angrabeit, Madhav Iyengar, Vitalii Protsenko, Illia Shakun, Jovan Cicvaric, Bora Kargi, Haoyu He, Lukas Schuler, Lewin Scholz, Kavyanjali Agnihotri, Yong Cao, Andreas Geiger
arXiv.org, 2025
Project Page / Paper /
@InProceedings{flicke2025scholarinbox,
author = {Markus Flicke and Glenn Angrabeit and Madhav Iyengar and Vitalii Protsenko and Illia Shakun and Jovan Cicvaric and Bora Kargi and Haoyu He and Lukas Schuler and Lewin Scholz and Kavyanjali Agnihotri and Yong Cao and Andreas Geiger},
title = {Scholar Inbox: Personalized Paper Recommendations for Scientists},
booktitle = {arXiv.org},
year = {2025},
}Website template provided by Michael Niemeyer. Check out his GitHub repository for instructions on how to use it.