Publications & Presentations

Table Of Contents

Publications

Taha, D., Zhao, W., Riestenberg, J. M., Strube, M. (2024). Normed spaces for graph embeddings. Published in Transactions on Machine Learning Research (05/2024).
Zhao, W., Lopez, F., Riestenberg, J. M., Strube, M., Taha, D., & Trettel, S. J. (2023). Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices. Paper accepted for publication at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD).

Albers, P., Lander, F., & Westermann, J. (In preparation). More on Polygonal symplectic billiards.
Albers, P., Aretz, P., & Seifert, I. (2023). Families of periodic delay orbits. arXiv preprint arXiv:2304.07550.

Taha, D. (2022). Symmetric Spaces for Machine Learning – Representation Matters! (Project Report). STRUCTURES NEWSletter. https://structures.uni-heidelberg.de/news/STRUCTURES_Newsletter_2022_Dec.pdf

Taha, D. (2022). HEGL: The Heidelberg Experimental Geometry Lab. STRUCTURES Newsletter. https://structures.uni-heidelberg.de/news/STRUCTURES_Newsletter_2022_Apr.pdf

Taha, D. (2023). Mathematics and Visualization in Action: A Selection of Student Projects from the Heidelberg Experimental Geometry Lab. Abstract accepted for presentation at the “MathArt” Minisymposium, DMV Annual Meeting.