Andrea Cavallo

PhD student, Delft University of Technology

Joined

November 2023

Names

Andrea Cavallo (Preferred)

Emails

****@tudelft.nl (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

PhD student

Delft University of Technology (tudelft.nl)

2023 – 2027

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding
Manuel Lecha, Andrea Cavallo, Francesca Dominici, Ran Levi, Alessio Del Bue, Elvin Isufi, Pietro Morerio, Claudio Battiloro
- ICLR 2026 Poster
- Readers: Everyone
TopoBench: A Framework for Benchmarking Topological Deep Learning
Lev Telyatnikov, Guillermo Bernardez, Marco Montagna, Mustafa Hajij, Martin Carrasco, Pavlo Vasylenko, Mathilde Papillon, Ghada Zamzmi, Michael T Schaub, Jonas Verhellen, Pavel Snopov, Bertran Miquel-Oliver, Manel Gil-Sorribes, Alexis Molina, VICTOR GUALLAR, Theodore Long, Julian Suk, Patryk Rygiel, Alexander V Nikitin, Giordan Escalona et al. (17 additional authors not shown)
- Accepted by DMLR
- Readers: Everyone
Sparse Covariance Neural Networks
Andrea Cavallo, Zhan Gao, Elvin Isufi
- Submitted to ICLR 2025
- Readers: Everyone
Fair CoVariance Neural Networks
Andrea Cavallo, Madeline Navarro, Santiago Segarra, Elvin Isufi
- CoRR 2024
- Readers: Everyone
Sparse Covariance Neural Networks
Andrea Cavallo, Zhan Gao, Elvin Isufi
- CoRR 2024
- Readers: Everyone
Spatiotemporal Covariance Neural Networks
Andrea Cavallo, Mohammad Sabbaqi, Elvin Isufi
- CoRR 2024
- Readers: Everyone
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate et al. (53 additional authors not shown)
- CoRR 2024
- Readers: Everyone
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)
Karim Kassem, Michela Sperti, Andrea Cavallo, Andrea Mario Vergani, Davide Fassino, Monica Moz, Alessandro Liscio, Riccardo Banali, Michael Dahlweid, Luciano Benetti, Francesco Bruno, Guglielmo Gallone, Ovidio De Filippo, Mario Iannaccone, Fabrizio D'Ascenzo, Gaetano Maria de Ferrari, Umberto Morbiducci, Emanuele Della Valle, Marco Agostino Deriu
- Artif. Intell. Medicine 2024
- Readers: Everyone
Detecting Edge and Node Anomalies with Temporal GNNs
Andrea Cavallo, Luca Gioacchini, Luca Vassio, Marco Mellia
- GNNet@CoNEXT 2024
- Readers: Everyone

View all 15 publications

Co-Authors

View all 114 co-authors