Luca Cosmo

Ca' Foscari University of Venice — Italy

Engineering · Physical Sciences

15h-index1.0kcitations79works1.32yr avg
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Research Topics

3D Shape Modeling and Analysis(20), Advanced Vision and Imaging(15), Optical measurement and interference techniques(12), Music and Audio Processing(10), Speech and Audio Processing(9)

Publications79 total

STAGE: Stemmed Accompaniment Generation through Prefix-Based Conditioning
arXiv (Cornell University)·2025Open Access
Naturalistic Music Decoding from EEG Data via Latent Diffusion Models
2025· 4 cited
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations
2025· 6 cited
LESI-GNN: An Interpretable Graph Neural Network Based on Local Structures Embedding
Lecture notes in computer science·2025
FolAI: Synchronized Foley Sound Generation with Semantic and Temporal Alignment
arXiv (Cornell University)·2024Open Access
GraFix: A Graph Transformer with Fixed Attention Based on the WL Kernel
Lecture notes in computer science·2024· 1 cited
SelfGeo: Self-supervised and Geodesic-Consistent Estimation of Keypoints on Deformable Shapes
Lecture notes in computer science·2024· 4 cited
SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes
arXiv (Cornell University)·2024Open Access
Graph Kernel Neural Networks
IEEE Transactions on Neural Networks and Learning Systems·2024Open Access
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations
arXiv (Cornell University)·2024Open Access
Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models
arXiv (Cornell University)·2024Open Access
Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models
2024· 2 citedOpen Access
Graph Generation via Spectral Diffusion
arXiv (Cornell University)·2024Open Access
GNN-LoFI: A novel graph neural network through localized feature-based histogram intersection
Pattern Recognition·2023· 8 citedOpen Access
Guided diffusion for inverse molecular design
Nature Computational Science·2023· 64 citedOpen Access
Latent Autoregressive Source Separation
Proceedings of the AAAI Conference on Artificial Intelligence·2023· 5 citedOpen Access
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications
Medical Image Analysis·2023· 8 cited
Guided Diffusion for Inverse Molecular Design
2023· 6 citedOpen Access
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
arXiv (Cornell University)·2023· 9 citedOpen Access
Latent Autoregressive Source Separation
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Emanuele Rodolà(24), Andrea Torsello(22), Andrea Albarelli(16), Michael M. Bronstein(14), Filippo Bergamasco(14), Andrea Gasparetto(8), Emilian Postolache(8), Daniel Cremers(7), Giorgia Minello(7), Giorgio Mariani(6), Nassir Navab(5), Luca Rossi(5), Michele Mancusi(5), Anees Kazi(4), Seyed‐Ahmad Ahmadi(4), Mara Pistellato(4), Marco Fumero(4), Alex Bronstein(3), Simone Melzi(3), Or Litany(3)