I am a German researcher who is interested in the theory of geometric measures and dimensionality.
In my spare time you can find me at the local hackspace tinkering with small to medium sized hard- and software projects.
Publications and Preprints
1.
Tolzin, A., Hille, T., Knoth, N., Janson, A.: Mining Hidden Prompt Engineering Patterns with Formal Concept Analysis and Association Rules. In: Bui, T.X. (ed.) 59th Hawaii International Conference on System Sciences, {HICSS} 2026. ScholarSpace (2026).
@inproceedings{Tolzin2026Jan, author = {Tolzin, Antonia and Hille, Tobias and Knoth, Nils and Janson, Andreas}, booktitle = {59th Hawaii International Conference on System Sciences, {HICSS} 2026}, editor = {Bui, Tung X.}, keywords = {itegpub}, month = {01}, publisher = {ScholarSpace}, title = {Mining Hidden Prompt Engineering Patterns with Formal Concept Analysis and Association Rules}, year = 2026 }
%0 Conference Paper %1 Tolzin2026Jan %A Tolzin, Antonia %A Hille, Tobias %A Knoth, Nils %A Janson, Andreas %B 59th Hawaii International Conference on System Sciences, {HICSS} 2026 %D 2026 %E Bui, Tung X. %I ScholarSpace %T Mining Hidden Prompt Engineering Patterns with Formal Concept Analysis and Association Rules %U https://hdl.handle.net/10125/111529 %@ 978-0-9981331-9-5
1.
Hille, T., Hanika, T.: Incomplete Formal Contexts and Their Intrinsic Dimension. In: Cellier, P., Ganter, B., and Missaoui, R. (eds.) SpringerLink. pp. 342–358. Springer, Cham, Switzerland (2025). https://doi.org/10.1007/978-3-032-03364-2_22.
Abdulla, M., Hille, T., Dürrschnabel, D., Stumme, G.: Rises for Measuring Local Distributivity in Lattices. In: Cellier, P., Ganter, B., and Missaoui, R. (eds.) SpringerLink. pp. 392–407. Springer, Cham, Switzerland (2025). https://doi.org/10.1007/978-3-032-03364-2_25.
@incollection{Abdulla2025Sep, address = {Cham, Switzerland}, author = {Abdulla, Mohammad and Hille, Tobias and Dürrschnabel, Dominik and Stumme, Gerd}, booktitle = {Conceptual Knowledge Structures}, editor = {Cellier, Peggy and Ganter, Bernhard and Missaoui, Rokia}, journal = {SpringerLink}, keywords = {itegpub}, month = {09}, pages = {392--407}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {Rises for Measuring Local Distributivity in Lattices}, type = {Publication}, volume = 15941, year = 2025 }
%0 Book Section %1 Abdulla2025Sep %A Abdulla, Mohammad %A Hille, Tobias %A Dürrschnabel, Dominik %A Stumme, Gerd %B Conceptual Knowledge Structures %C Cham, Switzerland %D 2025 %E Cellier, Peggy %E Ganter, Bernhard %E Missaoui, Rokia %I Springer %J SpringerLink %P 392--407 %R 10.1007/978-3-032-03364-2_25 %T Rises for Measuring Local Distributivity in Lattices %U https://dblp.uni-trier.de/rec/conf/concepts/AbdullaHDS25.html %V 15941 %@ 978-3-032-03364-2
1.
Hanika, T., Hille, T.: What is the intrinsic dimension of your binary data? -- and how to compute it quickly. In: CONCEPTS. pp. 97–112. Springer (2024).
@inproceedings{hanika2024intrinsic, author = {Hanika, Tom and Hille, Tobias}, booktitle = {CONCEPTS}, keywords = {itegpub}, pages = {97--112}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {What is the intrinsic dimension of your binary data? -- and how to compute it quickly}, volume = 14914, year = 2024 }
%0 Conference Paper %1 hanika2024intrinsic %A Hanika, Tom %A Hille, Tobias %B CONCEPTS %D 2024 %I Springer %P 97--112 %T What is the intrinsic dimension of your binary data? -- and how to compute it quickly %U http://dblp.uni-trier.de/db/conf/concepts/concepts2024.html#HanikaH24 %V 14914 %@ 978-3-031-67868-4
1.
Hille, T., Stubbemann, M., Hanika, T.: Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research. Transactions on Machine Learning Research. (2024).
@article{hille2024reproducibility, author = {Hille, Tobias and Stubbemann, Maximilian and Hanika, Tom}, journal = {Transactions on Machine Learning Research}, keywords = {itegpub}, note = {Reproducibility Certification}, title = {Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research.}, year = 2024 }
%0 Journal Article %1 hille2024reproducibility %A Hille, Tobias %A Stubbemann, Maximilian %A Hanika, Tom %D 2024 %J Transactions on Machine Learning Research %T Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research. %U https://openreview.net/forum?id=CtEGxIqtud
1.
Stubbemann, M., Hille, T., Hanika, T.: Selecting Features by their Resilience to the Curse of Dimensionality. (2023).
@article{stubbemann2023selecting, author = {Stubbemann, Maximilian and Hille, Tobias and Hanika, Tom}, keywords = {itegpub}, title = {Selecting Features by their Resilience to the Curse of Dimensionality}, year = 2023 }
%0 Journal Article %1 stubbemann2023selecting %A Stubbemann, Maximilian %A Hille, Tobias %A Hanika, Tom %D 2023 %T Selecting Features by their Resilience to the Curse of Dimensionality
This project is led by Dr. Tom Hanika within the Loewe Exploration program. In this project, we investigate to which extent machine learning is influenced by the intrinsic dimensionality of data. For this, we quantify the Curse of Dimensionality which is strongly connected to the phenomenon of measure concentration. Within the project, we develop methods that allow to efficiently compute the intrinsic dimension of modern large-scale datasets.
If you’re after bachelor’s or master’s projects or theses, here’s a list of the ones I’ve supervised and wrapped up, so you can get some ideas for your own topic. I’m generally open to ideas, but they should be somewhat related to the topics on this site. On the department’s general teaching page you can find some open topic ideas that I have been thinking about. If you’re interested, get in touch.
Topic Flow in Citation Networks
Summer Term 2025
Analyse der Approximation von XGBoost durch Entscheidungsbaum-Surrogate
Summer Term 2025
Iterative Graph Generation with Diffusion
Winter Term 2024/25
KI-basierte Klassifizierung von Fehlerbildern und Ableiten von Handlungsempfehlungen in digitalisierten Produktionsumgebungen
Winter Term 2024/25
Extracurricular Activities
Supervision of Student Internships
I supervise an annual two-week student internship at the University of Kassel on analyzing the emerging mastodon social network (2022 — today).
Girls‘ Day
I host a one-day introductory programming workshop for Kara, the turing 🐞, once a year.
Computer Chaos
I organize the sporadic Chaos Meetup in room -1307 and am quite active in the local hackspace.
