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ORCIDVincent P. Grande
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- affiliation: RWTH Aachen University, Germany
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Conference and Workshop Papers
- 2023
[c5]Javier Esparza, Vincent P. Grande
:
Black-Box Testing Liveness Properties of Partially Observable Stochastic Systems. ICALP 2023: 126:1-126:17- [c4]T. Mitchell Roddenberry, Vincent P. Grande, Florian Frantzen, Michael T. Schaub, Santiago Segarra:
Signal Processing On Product Spaces. ICASSP 2023: 1-5 - [c3]Vincent Peter Grande, Michael T. Schaub:
Topological Point Cloud Clustering. ICML 2023: 11683-11697 - [c2]Vincent Peter Grande, Michael T. Schaub:
Non-Isotropic Persistent Homology: Leveraging the Metric Dependency of PH. LoG 2023: 17 - [c1]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:
ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 2023: 3-8
Informal and Other Publications
- 2023
- [i5]Javier Esparza, Vincent P. Grande:
Black-box Testing Liveness Properties of Partially Observable Stochastic Systems. CoRR abs/2303.03292 (2023) - [i4]Vincent P. Grande, Michael T. Schaub:
Topological Point Cloud Clustering. CoRR abs/2303.16716 (2023) - [i3]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.:
ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR abs/2309.15188 (2023) - [i2]Vincent P. Grande, Michael T. Schaub:
Non-isotropic Persistent Homology: Leveraging the Metric Dependency of PH. CoRR abs/2310.16437 (2023) - [i1]Vincent P. Grande, Michael T. Schaub:
Disentangling the Spectral Properties of the Hodge Laplacian: Not All Small Eigenvalues Are Equal. CoRR abs/2311.14427 (2023)
Coauthor Index
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