Klemens Böhm

Full Professor, Karlsruher Institut für Technologie

Joined

July 2019

Names

Klemens Böhm

Emails

****@kit.edu (Confirmed)

Personal Links

DBLP

Career & Education History

Full Professor

Karlsruher Institut für Technologie (kit.edu)

Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

How Domain Knowledge can Improve Machine Learning Surrogates for Manufacturing Process Optimization – a Comparative Study
Béla H. Böhnke, Aleksandr Eismont, Clemens Zimmerling, Luise Kärger, Klemens Böhm
- Procedia CIRP: Part of special issue 57th CIRP Conference on Manufacturing Systems 2024 (CMS 2024)
- Readers: Everyone
DEAL: Data-Efficient Active Learning for Regression Under Drift
Béla H. Böhnke, Edouard Fouché, Klemens Böhm
- PAKDD 2024: Advances in Knowledge Discovery and Data Mining
- Readers: Everyone
The Brownian Integral Kernel: A New Kernel for Modeling Integrated Brownian Motions
Béla H. Böhnke, Edouard Fouché, Klemens Böhm
- PAKDD 2025: Data Science: Foundations and Applications
- Readers: Everyone
Informed Asymmetric Actor-Critic: Theoretical Insights and Open Questions
Daniel Ebi, Gaspard Lambrechts, Damien Ernst, Klemens Böhm
- EWRL 2025 Poster
- Readers: Everyone
Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data
Jose Cribeiro-Ramallo, Federico Matteucci, Paul Enciu, Alexander Jenke, Vadim Arzamasov, Thorsten Strufe, Klemens Böhm
- Accepted by TMLR
- Readers: Everyone
Can You Trust Your Experiments? Generalizability of Experimental Studies
Federico Matteucci, Vadim Arzamasov, Jose Cribeiro-Ramallo, Marco Heyden, Konstantin Ntounas, Klemens Böhm
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Efficient Generation of Hidden Outliers for Improved Outlier Detection
Jose Cribeiro-Ramallo, Vadim Arzamasov, Klemens Böhm
- ACM Transactions on Knowledge Discovery from Data
- Readers: Everyone
Can Data be Myopic? Outlier Detection in High-Dimensional Tabular Data via Subspaces
Jose Cribeiro-Ramallo, Vadim Arzamasov, Federico Matteucci, Denis Wambold, Klemens Böhm
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
Florian Kalinke, Marco Heyden, Georg Gntuni, Edouard Fouché, Klemens Böhm
- Accepted by TMLR
- Readers: Everyone
Partial-Label Learning with a Reject Option
Tobias Fuchs, Florian Kalinke, Klemens Böhm
- Accepted by TMLR
- Readers: Everyone

View all 15 publications

Co-Authors

View all 26 co-authors