Luca COSMO

Qualifica
Professore Associato
Telefono
041 234 8471
E-mail
luca.cosmo@unive.it
SSD
Informatica [INFO-01/A]
Sito web
www.unive.it/persone/luca.cosmo (scheda personale)
Struttura
Dipartimento di Scienze Ambientali, Informatica e Statistica
Sito web struttura: https://www.unive.it/dais
Sede: Campus scientifico via Torino
Stanza: studio Z.B08 (edificio Zeta B)

Pubblicazioni

Anno
Tipologia
Pubblicazione
Anno Tipologia Pubblicazione
1 - 10 / 55 (55)
2025 Articolo in Atti di convegno Zhang, Lingfeng; Cosmo, Luca; Minello, Giorgia; Torsello, Andrea; Rossi, Luca GraFix: A Graph Transformer with Fixed Attention Based on the WL Kernel , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, vol. 15304 LNCS, pp. 435-450, Convegno: 27th International Conference on Pattern Recognition, ICPR 2024, 2024 (ISBN 9783031781278; 9783031781285) (ISSN 0302-9743)
DOI - Scheda ARCA: 10278/5090327
2025 Articolo in Atti di convegno Minello, Giorgia; Zhang, Lingfeng; Bicciato, Alessandro; Rossi, Luca; Torsello, Andrea; Cosmo, Luca LESI-GNN: An Interpretable Graph Neural Network Based on Local Structures Embedding , Lecture Notes in Computer Science, Springer, pp. 72-81, Convegno: Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR) (ISBN 9783031805066; 9783031805073) (ISSN 0302-9743)
DOI - Scheda ARCA: 10278/5090329
2024 Articolo su rivista Bicciato, Alessandro; Cosmo, Luca; Minello, Giorgia; Rossi, Luca; Torsello, Andrea GNN-LoFI: A novel graph neural network through localized feature-based histogram intersection in PATTERN RECOGNITION, vol. 148 (ISSN 0031-3203)
DOI - Scheda ARCA: 10278/5062361
2024 Articolo su rivista Cosmo, Luca; Minello, Giorgia; Bicciato, Alessandro; Bronstein, Michael M.; Rodolà, Emanuele; Rossi, Luca; Torsello, Andrea Graph Kernel Neural Networks in IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. PP, pp. 1-14 (ISSN 2162-237X)
DOI - Scheda ARCA: 10278/5062362
2024 Articolo in Atti di convegno Postolache E.; Mariani G.; Cosmo L.; Benetos E.; Rodola E. GENERALIZED MULTI-SOURCE INFERENCE FOR TEXT CONDITIONED MUSIC DIFFUSION MODELS , ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Institute of Electrical and Electronics Engineers Inc., vol. 30, pp. 6980-6984, Convegno: 49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024, 2024 (ISSN 1520-6149)
DOI - Scheda ARCA: 10278/5080982
2024 Articolo in Atti di convegno Mariani G.; Tallini I.; Postolache E.; Mancusi M.; Cosmo L.; Rodola E. MULTI-SOURCE DIFFUSION MODELS FOR SIMULTANEOUS MUSIC GENERATION AND SEPARATION , 12th International Conference on Learning Representations, ICLR 2024, International Conference on Learning Representations, ICLR, Convegno: 12th International Conference on Learning Representations, ICLR 2024, 2024 (ISBN 978-17-13898-65-8)
- Scheda ARCA: 10278/5080981
2023 Articolo su rivista Kazi A.; Cosmo L.; Ahmadi S.; Navab N.; Bronstein M. Differentiable Graph Module (DGM) for Graph Convolutional Networks in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. PP, pp. 1-1 (ISSN 0162-8828)
DOI - Scheda ARCA: 10278/3759611
2023 Articolo su rivista Zaripova, Kamilia; Cosmo, Luca; Kazi, Anees; Ahmadi, Seyed-Ahmad; Bronstein, Michael M.; Navab, Nassir Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications in MEDICAL IMAGE ANALYSIS, vol. 88, pp. 102839 (ISSN 1361-8415)
DOI - Scheda ARCA: 10278/5021181
2023 Articolo su rivista Weiss T.; Mayo Yanes E.; Chakraborty S.; Cosmo L.; Bronstein A.M.; Gershoni-Poranne R. Guided diffusion for inverse molecular design in NATURE COMPUTATIONAL SCIENCE, vol. 3, pp. 873-882 (ISSN 2662-8457)
DOI - Scheda ARCA: 10278/5048016
2023 Articolo in Atti di convegno Postolache E.; Mariani G.; Mancusi M.; Santilli A.; Cosmo L.; Rodola E. Latent Autoregressive Source Separation , Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, AAAI Press, vol. 37, pp. 9444-9452, Convegno: 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 2023
- Scheda ARCA: 10278/5035943