Holger H. Hoos

Full Professor, Rheinisch Westfälische Technische Hochschule Aachen

Joined

February 2019

Names

Holger H. Hoos (Preferred)

Holger Hoos

Emails

****@cs.ubc.ca (Confirmed)

****@aim.rwth-aachen.de (Confirmed)

Personal Links

Career & Education History

Full Professor

Rheinisch Westfälische Technische Hochschule Aachen (rwth-aachen.de)

2022 – Present

Full Professor

Leiden University (leidenuniv.nl)

2016 – 2021

Advisors, Relations & Conflicts

Postdoc Advisor

Craig Boutilier

1996 – 2000

Postdoc Advisor

David Poole

1996 – 2000

Expertise

Artificial Intelligence

Present

Machine Learning

Present

Publications

Dynamic Algorithm Termination for Branch-and-Bound-based Neural Network Verification
Konstantin Kaulen, Matthias König, Holger H. Hoos
- AAAI 2025
- Readers: Everyone
The Cost of Reproducibility in Artificial Intelligence
Thijs Snelleman, Odd Erik Gundersen, Holger H. Hoos
- Submitted to ICLR 2026
- Readers: Everyone
GraphBench: Next-generation graph learning benchmarking
Antoine Siraudin, Chendi Qian, Ben Finkelshtein, Ali Parviz, Darius Weber, Fabrizio Frasca, Hadar Shavit, Timo Stoll, Arman Mielke, Marie Anastacio, Erik Müller, Maya Bechler-Speicher, Michael M. Bronstein, Mikhail Galkin, Holger H. Hoos, Mathias Niepert, Bryan Perozzi, Jan Tönshoff, Christopher Morris
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
AutoTSAugment: Model-Agnostic Automated Data Augmentation for Unsupervised Contrastive-based Time Series Representation Learning
Wadie Skaf, Mitra Baratchi, Holger H. Hoos
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Empirically Investigating the Trade-Offs in Deterministic Certified Training
Konstantin Kaulen, Hadar Shavit, Holger H. Hoos
- Submitted to ICLR 2026
- Readers: Everyone
Performance Prediction In Reinforcement Learning: The Bad And The Ugly
Julian Dierkes, Theresa Eimer, Marius Lindauer, Holger Hoos
- EWRL 2025 Poster
- Readers: Everyone
CTRAIN - A Training Library for Certifiably Robust Neural Networks (Extended Abstract)
Konstantin Kaulen, Holger Hoos
- SAIV 2025 Proceedings
- Readers: Everyone
Robustness Margin: A new measure for the robustness of neural networks
Lionel Kielhofer, Annelot Willemijn Bosman, Jan N. van Rijn, Holger Hoos
- SAIV 2025 Proceedings
- Readers: Everyone
Critically Assessing the State of the Art in Neural Network Verification.
Annelot Willemijn Bosman, Matthias König, Holger Hoos, Jan N. van Rijn
- Journal of machine learning research (JMLR)
- Readers: Everyone
Codetector: A Framework for Zero-shot Detection of AI-Generated Code
Nadim Adham, Henning Duwe, Holger Hoos
- LION19 2025
- Readers: Everyone

View all 268 publications

Co-Authors

View all 340 co-authors