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)

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 2024, Articolo su rivista - Scheda ARCA: 10278/5062361


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 2024, Articolo su rivista - Scheda ARCA: 10278/5062362


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 2024, Articolo in Atti di convegno - Scheda ARCA: 10278/5080982


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
2024, Articolo in Atti di convegno - Scheda ARCA: 10278/5080981


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 2023, Articolo su rivista - Scheda ARCA: 10278/3759611