Corneli, Marco

7 publications

ICML 2025 An in Depth Look at the Procrustes-Wasserstein Distance: Properties and Barycenters Davide Adamo, Marco Corneli, Manon Vuillien, Emmanuelle Vila

ECML-PKDD 2023 A Deep Dynamic Latent Block Model for the Co-Clustering of Zero-Inflated Data Matrices Giulia Marchello, Marco Corneli, Charles Bouveyron

ICLR 2022 Semi-Relaxed Gromov-Wasserstein Divergence and Applications on Graphs Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty

NeurIPS 2022 Template Based Graph Neural Network with Optimal Transport Distances Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty

ICML 2021 Online Graph Dictionary Learning Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty

ICMLW 2020 Missing Rating Imputation Based on Product Reviews via Deep Latent Variable Models Dingge Liang, Marco Corneli, Pierre Latouche, Charles Bouveyron

ICMLW 2020 The Dynamic Latent Block Model for Sparse and Evolving Count Matrices Giulia Marchello, Marco Corneli, Charles Bouveyron