Black-Box Testing Liveness Properties of Partially Observable Stochastic Systems. - Javier Esparza; Vincent P. Grande (ICALP, 2023)

Signal Processing On Product Spaces. - T. Mitchell Roddenberry; Vincent P. Grande; Florian Frantzen; Michael T. Schaub; Santiago Segarra (ICASSP, 2023)

Topological Point Cloud Clustering. - Vincent Peter Grande; Michael T. Schaub (ICML, 2023)

Non-Isotropic Persistent Homology: Leveraging the Metric Dependency of PH. - Vincent Peter Grande; Michael T. Schaub (LoG, 2023)

ICML 2023 Topological Deep Learning Challenge: Design and Results. - Mathilde Papillon; Mustafa Hajij; Audun Myers; Florian Frantzen; Ghada Zamzmi; Helen Jenne; Johan Mathe; Josef Hoppe; Michael T. Schaub; Theodore Papamarkou; Aldo Guzmán-Sáenz; Bastian Rieck; et al. (TAG-ML, 2023)

ICML 2023 Topological Deep Learning Challenge : Design and Results. - Mathilde Papillon; Mustafa Hajij; Florian Frantzen; Josef Hoppe; Helen Jenne; Johan Mathe; Audun Myers; Theodore Papamarkou; Michael T. Schaub; Ghada Zamzmi; Tolga Birdal; Tamal K. Dey; et al. (CoRR, 2023)

Topological Trajectory Classification and Landmark Inference on Simplicial Complexes. - Vincent P. Grande; Josef Hoppe; Florian Frantzen; Michael T. Schaub (IEEECONF, 2024)

Disentangling the Spectral Properties of the Hodge Laplacian: not all small Eigenvalues are Equal. - Vincent P. Grande; Michael T. Schaub (ICASSP, 2024)

Node-Level Topological Representation Learning on Point Clouds. - Vincent P. Grande; Michael T. Schaub (CoRR, 2024)

Don't be Afraid of Cell Complexes! An Introduction from an Applied Perspective. - Josef Hoppe; Vincent P. Grande; Michael T. Schaub (CoRR, 2025)