Marco Corneli

34 papers A* 4B 4Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Scaling optimal transport to high-dimensional Gaussian distributions with application to domain adaptation.
Stat. Comput.
Charles Bouveyron, Marco Corneli
2025 J jnl
A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures.
Comput. Stat.
Marco Corneli, Elena Erosheva, Xunlei Qian, Marco Lorenzi
2025 A* conf
An in depth look at the Procrustes-Wasserstein distance: properties and barycenters.
ICML
Davide Adamo, Marco Corneli, Manon Vuillien, Emmanuelle Vila
2025 J jnl
An in depth look at the Procrustes-Wasserstein distance: properties and barycenters.
CoRR
Davide Adamo, Marco Corneli, Manon Vuillien, Emmanuelle Vila
2025 J jnl
Clustering by deep latent position model with graph convolutional network.
Adv. Data Anal. Classif.
Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
2025 J jnl
Graphe de connaissance outillé au service des chercheurs en histoire de la zoologie antique et médiévale.
Rev. Ouverte Intell. Artif.
Molka Dhouib, Arnaud Barbe, Catherine Faron, Arnaud Zucker, Marco Corneli
2025 J jnl
The multiplex deep latent position model for the clustering of nodes in multiview networks.
Neurocomputing
Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche, Junping Yin
2024 J jnl
A Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Data Matrices.
J. Comput. Graph. Stat.
Giulia Marchello, Marco Corneli, Charles Bouveyron
2024 J jnl
Deep dynamic co-clustering of count data streams: application to pharmacovigilance.
J. Data Sci. Stat. Vis.
Giulia Marchello, Alexandre Destere, Marco Corneli, Charles Bouveyron
2024 J jnl
Gaussian Embedding of Temporal Networks.
CoRR
Raphaël Romero, Jefrey Lijffijt, Riccardo Rastelli, Marco Corneli, Tijl De Bie
2023 — conf
A Deep Dynamic Latent Block Model for the Co-Clustering of Zero-Inflated Data Matrices.
ECML/PKDD (1)
Giulia Marchello, Marco Corneli, Charles Bouveyron
2023 — conf
Construction d'un graphe de connaissance à partir des annotations manuelles de textes de zoologie antique.
IC
Arnaud Barbe, Molka Tounsi Dhouib, Catherine Faron, Marco Corneli, Arnaud Zucker
2023 J jnl
Continuous latent position models for instantaneous interactions.
Netw. Sci.
Riccardo Rastelli, Marco Corneli
2023 B conf
Deep dynamic co-clustering of streams of count data: a new online Zip-dLBM.
ESANN
Giulia Marchello, Marco Corneli, Charles Bouveyron
2023 J jnl
Gaussian Embedding of Temporal Networks.
IEEE Access
Raphaël Romero, Jefrey Lijffijt, Riccardo Rastelli, Marco Corneli, Tijl De Bie
2023 J jnl
The graph embedded topic model.
Neurocomputing
Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
2022 J jnl
Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance.
Stat. Comput.
Giulia Marchello, Audrey Fresse, Marco Corneli, Charles Bouveyron
2022 B conf
Deep latent position model for node clustering in graphs.
ESANN
Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
2022 A* conf
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs.
ICLR
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
2022 A* conf
Template based Graph Neural Network with Optimal Transport Distances.
NeurIPS
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
2022 J jnl
Template based Graph Neural Network with Optimal Transport Distances.
CoRR
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
2021 J jnl
DeepLTRS: A deep latent recommender system based on user ratings and reviews.
Pattern Recognit. Lett.
Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
2021 A* conf
Online Graph Dictionary Learning.
ICML
Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty
2021 J jnl
Online Graph Dictionary Learning.
CoRR
Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty
2021 J jnl
Semi-relaxed Gromov Wasserstein divergence with applications on graphs.
CoRR
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
2020 J jnl
An Optimal Control Approach to Learning in SIDARTHE Epidemic model.
CoRR
Andrea Zugarini, Enrico Meloni, Alessandro Betti, Andrea Panizza, Marco Corneli, Marco Gori
2020 J jnl
From text saliency to linguistic objects: learning linguistic interpretable markers with a multi-channels convolutional architecture.
CoRR
Laurent Vanni, Marco Corneli, Damon Mayaffre, Frédéric Precioso
2019 J jnl
The dynamic stochastic topic block model for dynamic networks with textual edges.
Stat. Comput.
Marco Corneli, Charles Bouveyron, Pierre Latouche, Fabrice Rossi
2019 J jnl
The latent topic block model for the co-clustering of textual interaction data.
Comput. Stat. Data Anal.
Laurent R. Bergé, Charles Bouveyron, Marco Corneli, Pierre Latouche
2018 J jnl
Multiple change points detection and clustering in dynamic networks.
Stat. Comput.
Marco Corneli, Pierre Latouche, Fabrice Rossi
2016 J jnl
Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL.
Soc. Netw. Anal. Min.
Marco Corneli, Pierre Latouche, Fabrice Rossi
2016 J jnl
Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks.
Neurocomputing
Marco Corneli, Pierre Latouche, Fabrice Rossi
2015 B conf
Exact ICL maximization in a non-stationary time extension of latent block model for dynamic networks.
ESANN
Marco Corneli, Pierre Latouche, Fabrice Rossi
2015 B conf
Modelling time evolving interactions in networks through a non stationary extension of stochastic block models.
ASONAM
Marco Corneli, Pierre Latouche, Fabrice Rossi