| DeepLTRS: A deep latent recommender system based on user ratings and reviews D Liang, M Corneli, C Bouveyron, P Latouche Pattern Recognition Letters 152, 267-274, 2021 | 3 | 2021 |
| The graph embedded topic model D Liang, M Corneli, C Bouveyron, P Latouche Neurocomputing, ISSN 0925-2312 562 (126900), 2023 | 2 | 2023 |
| Deep latent position model for node clustering in graphs D Liang, M Corneli, C Bouveyron, P Latouche European Symposium on Artificial Neural Networks, Computational Intelligence …, 2022 | 1 | 2022 |
| Clustering by Deep Latent Position Model with Graph Convolutional Network D Liang, M Corneli, C Bouveyron, P Latouche Advances in Data Analysis and Classification, 2024 | | 2024 |
| Deep probabilistic models for recommender systems and network clustering D Liang Université Côte d'Azur, 2022 | | 2022 |
| Modeles probabilistes profonds pour les systemes de recommandation et le clustering de reseaux D Liang Université Côte d'Azur, 2022 | | 2022 |
| Missing rating imputation based on product reviews via deep latent variable models D Liang, M Corneli, P Latouche, C Bouveyron ICML2020 Workshop on the Art of Learning with Missing Values (Artemiss), 2020 | | 2020 |
Charles BouveyronProfessor of Statistics & AI, Director of Institut 3IA Côte d'Azur, Inria, Université Côte d'AzurVerified email at inria.fr
