publications

An overview of my publications.

  1. TOPFpreview.png
    Node-Level Topological Representation Learning on Point Clouds
    Vincent P. Grande, and Michael T. Schaub
    2024
    Arxiv preprint.
    arXiv Code
  2. TPCCTeaser.png
    Topological Point Cloud Clustering
    Vincent P. Grande, and Michael T. Schaub
    ICML 2023. Proceedings of the 40th International Conference on Machine Learning, 2023
    arXiv Code
  3. RestartingTeaser.png
    Black-box Testing Liveness Properties of Partially Observable Stochastic Systems
    Javier Esparza, and Vincent P. Grande
    ICALP 2023. 50th EATS International Colloquium on Automata, Languages and Programming, 2023
    Authors in alphabetical ordering.
    arXiv Code
  4. ChangingPhi.gif
    Non-isotropic Persistent Homology: Leveraging the Metric Dependency of PH
    Vincent P. Grande, and Michael T. Schaub
    LoG 2023. Proceedings of the 2nd Annual Learning on Graphs Conference, 2023
    arXiv Code
  5. HOSCpreview.png
    Disentangling the Spectral Properties of the Hodge Laplacian: Not All Small Eigenvalues Are Equal
    Vincent P. Grande, and Michael T. Schaub
    In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2024
    arXiv Code
  6. ProductSpacesTeaser.png
    Signal Processing On Product Spaces
    T. Mitchell Roddenberry, Vincent P. Grande, Florian Frantzen, Michael T. Schaub, and Santiago Segarra
    In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2023
    arXiv