Explore projects

Stamm FI, Scholkemper M, Strohmaier M, Schaub MT. Neighborhood structure configuration models. InProceedings of the ACM Web Conference 2023 2023 Apr 30 (pp. 210-220).

"Non-isotropic Persistent Homology: Leveraging the Metric Dependency of PH", Vincent P. Grande and Michael T. Schaub, Proceedings of the 2nd Annual Learning on Graphs Conference.

"Representing Edge Flows on Graphs via Sparse Cell Complexes", Learning on Graphs (LoG) 2023; see also https://github.com/josefhoppe/edge-flow-cell-complexes

"Topological Point Cloud Clustering", Vincent P. Grande and Michael T. Schaub, 40th International Conference on Machine Learning 2023.

Disentangling the Spectral Properties of the Hodge Laplacian: Not All Small Eigenvalues Are Equal, Vincent P. Grande and Michael T. Schaub, International Conference on Acoustics, Speech, and Signal Processing 2024. https://arxiv.org/abs/2311.14427

"Learning From Simplicial Data Based on Random Walks and 1D Convolutions", Florian Frantzen and Michael T. Schaub, The Twelfth International Conference on Learning Representations, 2024

Accompanying Repository for 'Random Abstract Cell Complexes' Paper.

Code for "Topological Trajectory Classification and Landmark Inference on Simplicial Complexes", Vincent P. Grande, Josef Hoppe, Florian Frantzen, Michael T. Schaub, 2024 Asilomar Conference on Signals, Systems, and Computers, IEEE.

"A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings", Scholkemper, M., Kühn, D., Nabbefeld, G., Musall, S., Kampa, B., & Schaub, M. T. (2024)

Docker configuration for Jupyter Notebooks using IfcOpenShell for the class "2D3D"

Notebooks for the course "2D3D"

Application language for input and 2D Rendering (Application name sounds to close to MaCoCo, that's why the name is 2DRendering for now)