Scholar
Katharina Eggensperger
Google Scholar ID: ADZN2nwAAAAJ
Professor for ML and AI | Lamarr Institute, TU Dortmund University
Citations & Impact
Citations
9,047
H-index
17
i10-index
19
Publications
20
Co-authors
11
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Co-developed several open-source tools for HPO methods and AutoML systems
- Team member of three AutoML competition wins (2016, 2018, 2020)
- Paper 'Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning' accepted at NeurIPS'25
- Paper 'In-Context Decision Making for Optimizing Complex AutoML Pipelines' accepted at ECAI'25 and to be presented at EWRL'25
- Paper 'In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning' accepted as poster and oral at TRL@ACL'25
- Paper 'Towards Localization via Data Embedding for TabPFN' accepted at TRL@NeurIPS'24
Research Experience
- Early Career Research Group Leader of 'AutoML for Science' at the University of Tübingen (2023–2025), within the Cluster of Excellence 'Machine Learning for Science'
- Junior head of the Automl.org group
- Teaches seminars such as 'Tabular Machine Learning' at TU Dortmund
- Co-organized the AutoML workshop series at ICML in 2019, 2020, and 2021
- Served as Social Chair (2022–2023), Program Chair (2024), and Non-Traditional Content Track Chair (2025) for the AutoML Conference
