Helena Graf
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Adresse
Welfengarten 1
30167 Hannover
30167 Hannover
Gebäude
Raum
Helena Graf
Telefon
E-Mail
Research Interests
My research interests are Interactive and Explainable AutoML.
Curriculum Vitae
-
Working Experience
2022 - Present
Doctoral Researcher, Leibniz University Hannover2020 - 2022
Doctoral Researcher, Paderborn University -
Education
2022 - Present
Ph.D. Student (Dr. rer. nat), Leibniz University Hannover2018 - 2020
Master of Science, Computer Science, Paderborn University2014 - 2018
Bachelor of Science, Computer Science, Paderborn University - Social Media
Publications
Zeige Ergebnisse 1 - 4 von 4
2025
Graf, H., Fehring, L., Tornede, T., Tornede, A., Wever, M. D., & Lindauer, M. (2025). Towards Exploiting Early Termination for Multi-Fidelity Hyperparameter Optimization. In Workshop Track of the AutoML Conference Vorabveröffentlichung online. https://openreview.net/pdf?id=apxqygZeFV
Segel, S., Graf, H., Bergman, E., Thieme, K., Wever, M. D., Tornede, A., Hutter, F., & Lindauer, M. (Angenommen/im Druck). DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning. Journal of Machine Learning Research, 2025(26). http://jmlr.org/papers/v26/24-1353.html
2023
Segel, S., Graf, H., Tornede, A., Bischl, B., & Lindauer, M. (2023). Symbolic Explanations for Hyperparameter Optimization. In AutoML Conference 2023 PMLR. Vorabveröffentlichung online. https://openreview.net/forum?id=JQwAc91sg_x
Tornede, T., Tornede, A., Fehring, L., Gehring, L., Graf, H., Hanselle, J., Mohr, F., & Wever, M. (2023). PyExperimenter: Easily distribute experiments and track results. Journal of Open Source Software, 8(84). https://doi.org/10.48550/arXiv.2301.06348, https://doi.org/10.21105/joss.05149
