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Repository for the course: Data-Driven Modeling of Conservation Laws This repository aims to provide a understandable version of the code to reproduce all the results and visualizations from the course reports.

This repository will provide all the details required to successful pass the Introduction to Robotics course.

This repository will provide all the details required to successful pass the Introduction to Robotics course.

Quickstart for Jupyter Notebooks in JupyterLab

Quickstart for Jupyter Notebooks in JupyterLab

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

"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.

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

"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.

Examples and exercises for the python part of the lecture "Introduction to Python and Data Science for Materials Science"