Marco Corneli

Netw. Sci., December, 2023

The graph embedded topic model.

[BibT_eX]

[DOI]

Neurocomputing, December, 2023

Gaussian Embedding of Temporal Networks.

[BibT_eX]

[DOI]

IEEE Access, 2023

A Deep Dynamic Latent Block Model for the Co-Clustering of Zero-Inflated Data Matrices.

[BibT_eX]

[DOI]

Giulia Marchello

Charles Bouveyron

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Construction d'un graphe de connaissance à partir des annotations manuelles de textes de zoologie antique.

[BibT_eX]

Proceedings of the 34es Journées francophones d'Ingénierie des Connaissances, 2023

2022

Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance.

[BibT_eX]

[DOI]

Stat. Comput., 2022

Template based Graph Neural Network with Optimal Transport Distances.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Semi-relaxed Gromov-Wasserstein divergence and applications on graphs.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Deep latent position model for node clustering in graphs.

[BibT_eX]

[DOI]

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

DeepLTRS: A deep latent recommender system based on user ratings and reviews.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2021

Semi-relaxed Gromov Wasserstein divergence with applications on graphs.

[BibT_eX]

[DOI]

CoRR, 2021

Online Graph Dictionary Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

An Optimal Control Approach to Learning in SIDARTHE Epidemic model.

[BibT_eX]

[DOI]

CoRR, 2020

From text saliency to linguistic objects: learning linguistic interpretable markers with a multi-channels convolutional architecture.

[BibT_eX]

[DOI]

CoRR, 2020

2019

The dynamic stochastic topic block model for dynamic networks with textual edges.

[BibT_eX]

[DOI]

Stat. Comput., 2019

The latent topic block model for the co-clustering of textual interaction data.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2019

2018

Multiple change points detection and clustering in dynamic networks.

[BibT_eX]

[DOI]

Stat. Comput., 2018

2016

Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2016

Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks.

[BibT_eX]

[DOI]

Neurocomputing, 2016

2015

Exact ICL maximization in a non-stationary time extension of latent block model for dynamic networks.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Modelling time evolving interactions in networks through a non stationary extension of stochastic block models.

[BibT_eX]

[DOI]