Publications

2025

  • Savostianov, Anton, Schaub, Michael T., Guglielmi, Nicola and Tudisco, Francesco. Efficient Sparsification of Simplicial Complexes via Local Densities of States arXiv Preprints. 2025.

    [PDF]

  • Rompelberg, Lennard and Schaub, Michael T.. A Bayesian Perspective on Uncertainty Quantification for Estimated Graph Signals ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2025.

    [PDF] [DOI] [arXiv]

  • Hoppe, Josef, Grande, Vincent P. and Schaub, Michael T.. Don't be Afraid of Cell Complexes! An Introduction from an Applied Perspective arXiv Preprints. 2025.

    [PDF]

2024

  • Hajij, Mustafa, Papillon, Mathilde, Frantzen, Florian, Agerberg, Jens, AlJabea, Ibrahem, Ballester, Rubén, Battiloro, Claudio, Bernárdez, Guillermo, Birdal, Tolga, Brent, Aiden, Chin, Peter, Escalera, Sergio, Fiorellino, Simone, Gardaa, Odin Hoff, Gopalakrishnan, Gurusankar, Govil, Devendra, Hoppe, Josef, Karri, Maneel Reddy, Khouja, Jude, Lecha, Manuel, Livesay, Neal, Meißner, Jan, Mukherjee, Soham, Nikitin, Alexander, Papamarkou, Theodore, Prílepok, Jaro, Ramamurthy, Karthikeyan Natesan, Rosen, Paul, Guzmán-Sáenz, Aldo, Salatiello, Alessandro, Samaga, Shreyas N., Scardapane, Simone, Schaub, Michael T., Scofano, Luca, Spinelli, Indro, Telyatnikov, Lev, Truong, Quang, Walters, Robin, Yang, Maosheng, Zaghen, Olga, Zamzmi, Ghada, Zia, Ali and Miolane, Nina. TopoX: A Suite of Python Packages for Machine Learning on Topological Domains Journal of Machine Learning Research 25. 2024.

    [PDF] [GitHub]

  • Savostianov, Anton, Tudisco, Francesco and Guglielmi, Nicola. Cholesky-like Preconditioner for Hodge Laplacians via Heavy Collapsible Subcomplex SIAM Journal on Matrix Analysis and Applications. 2024.

    [PDF] [Github]

  • Frantzen, Florian and Schaub, Michael T.. Learning From Simplicial Data Based On Random Walks and 1D Convolutions 12th International Conference on Learning Representations. 2024.

    [PDF] [Code]

  • Epping, B., René, Alexandre, Helias, Moritz and Schaub, Michael T.. Graph Neural Networks Do Not Always Oversmooth Advances in Neural Information Processing Systems 37 (NeurIPS 2024). 2024.

    [PDF] [Git]

2023

  • Roddenberry, T. Mitchell, Grande, Vincent P., Frantzen, Florian, Schaub, Michael T. and Segarra, Santiago. Signal Processing on Product Spaces 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2023.

    [DOI]

  • Hoppe, Josef and Schaub, Michael T.. Representing Edge Flows on Graphs via Sparse Cell Complexes The Second Learning on Graphs Conference. 2023.

    [PDF] [DOI] [Poster] [Slides] [Github] [PyPI]

2022

  • Roddenberry, T. Mitchell, Frantzen, Florian, Schaub, Michael T. and Segarra, Santiago. Hodgelets: Localized Spectral Representations of Flows On Simplicial Complexes 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2022.

    [DOI] [Code]

  • Schaub, Michael T., Seby, Jean-Baptiste, Frantzen, Florian, Roddenberry, T. Mitchell, Zhu, Yu and Segarra, Santiago. Signal Processing on Simplicial Complexes Higher-Order Systems. 2022.

    [DOI]

2021

  • Frantzen, Florian, Seby, Jean-Baptiste and Schaub, Michael T.. Outlier Detection for Trajectories via Flow-embeddings 55th Asilomar Conference on Signals, Systems, and Computers. 2021.

    [DOI] [Code]

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