Fabian Jogl
Univ.Ass. Dipl.-Ing. / BSc
Roles
-
PreDoc Researcher
Databases and Artificial Intelligence, E192-02 -
PreDoc Researcher
Machine Learning, E194-06
Contact
- fabian.jogl@tuwien.ac.at
- Erzherzog-Johann-Platz 1, Room FB0205
- vCard from TISS
Courses
2023S
- Bachelor Thesis in Computer Science / 194.112 / PR
- Machine Learning Algorithms and Applications / 194.101 / PR
- Project in Computer Science 1 - Machine Learning Algorithms and Applications / 194.119 / PR
- Seminar in Artificial Intelligence - Theoretical Aspects of Machine Learning / 194.118 / SE
- Theoretical Foundations and Research Topics in Machine Learning / 194.100 / VU
Publications
Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.
- Weisfeiler and Leman Return with Graph Transformations / Jogl, F., Thiessen, M., & Gärtner, T. (2022). Weisfeiler and Leman Return with Graph Transformations. In 18th International Workshop on Mining and Learning with Graphs - Accepted Papers. 18th International Workshop on Mining and Learning with Graphs, Grenoble, France. https://doi.org/10.34726/3829
- Reducing Learning on Cell Complexes to Graphs / Jogl, F., Thiessen, M., & Gärtner, T. (2022). Reducing Learning on Cell Complexes to Graphs. In ICLR 2022 Workshop on Geometrical and Topological Representation Learning. ICLR 2022 Workshop on Geometrical and Topological Representation Learning, International. https://doi.org/10.34726/3421
- Historian: A Large-Scale Historical Film Dataset with Cinematographic Annotation / Helm, D., Jogl, F., & Kampel, M. (2022). Historian: A Large-Scale Historical Film Dataset with Cinematographic Annotation. In 2022 IEEE International Conference on Image Processing (ICIP) (pp. 2087–2091). https://doi.org/10.1109/ICIP46576.2022.9897300 / Project: VHH
- Do we need to Improve Message Passing? Improving Graph Neural Networks with Graph Transformations / Jogl, F. (2022). Do we need to Improve Message Passing? Improving Graph Neural Networks with Graph Transformations [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.103141