Vincent P. Grande

According to our database, Vincent P. Grande authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Don't be Afraid of Cell Complexes! An Introduction from an Applied Perspective.

Josef Hoppe, Vincent P. Grande, Michael T. Schaub

CoRR, June, 2025

2024

Node-Level Topological Representation Learning on Point Clouds.

Vincent P. Grande, Michael T. Schaub

CoRR, 2024

Disentangling the Spectral Properties of the Hodge Laplacian: not all small Eigenvalues are Equal.

Vincent P. Grande, Michael T. Schaub

Proceedings of the IEEE International Conference on Acoustics, 2024

Topological Trajectory Classification and Landmark Inference on Simplicial Complexes.

Vincent P. Grande, Josef Hoppe, Florian Frantzen, Michael T. Schaub

Proceedings of the 58th Asilomar Conference on Signals, 2024

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, Tim Doster, Tegan Emerson, Gurusankar Gopalakrishnan, Devendra Govil, Vincent P. Grande, Aldo Guzmán-Sáenz, Henry Kvinge, Neal Livesay, Jan Meissner, Soham Mukherjee, Shreyas N. Samaga, Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri, Paul Rosen, Sophia Sanborn, Michael Scholkemper, Robin Walters, Jens Agerberg, Georg Bökman, Sadrodin Barikbin, Claudio Battiloro, Gleb Bazhenov, Guillermo Bernárdez, Aiden Brent, Sergio Escalera, Simone Fiorellino, Dmitrii Gavrilev, Mohammed Hassanin, Paul Häusner, Odin Hoff Gardaa, Abdelwahed Khamis, Manuel Lecha, German Magai, Tatiana Malygina, Pavlo Melnyk, et al.

CoRR, 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, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane

Proceedings of the Topological, 2023

Non-Isotropic Persistent Homology: Leveraging the Metric Dependency of PH.

Vincent Peter Grande, Michael T. Schaub

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Topological Point Cloud Clustering.

Vincent Peter Grande, Michael T. Schaub

Proceedings of the International Conference on Machine Learning, 2023

Signal Processing On Product Spaces.

T. Mitchell Roddenberry, Vincent P. Grande, Florian Frantzen, Michael T. Schaub, Santiago Segarra

Proceedings of the IEEE International Conference on Acoustics, 2023

Black-Box Testing Liveness Properties of Partially Observable Stochastic Systems.

Javier Esparza, Vincent P. Grande

Proceedings of the 50th International Colloquium on Automata, Languages, and Programming, 2023