Sylvain Marié

According to our database, Sylvain Marié authored at least 11 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Heterogeneous graph attention networks for passage retrieval.

Lucas Albarede, Philippe Mulhem, Lorraine Goeuriot, Sylvain Marié, Claude Le Pape-Gardeux, Trinidad Chardin-Segui

Inf. Retr. J., June, 2023

Entity Enhanced Attention Graph-Based Passages Retrieval.

Lucas Albarede, Lorraine Goeuriot, Philippe Mulhem, Claude Le Pape-Gardeux, Sylvain Marié, Trinidad Chardin-Segui

Proceedings of the Actes de CORIA-TALN 2023. Actes de la 18e Conférence en Recherche d'Information et Applications, 2023

Impact of line length, EV and PV on LV Grid topology identification based on voltage correlation.

Victor Bossard, Lena Joyeux, Sylvain Marié, Thi thu ha Pham, Regis Vautrin, Carl Mugnier, Theo Lagarde, Vanya Ignatova

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

2022

A Pre-screening Approach for Faster Bayesian Network Structure Learning.

Thibaud Rahier, Sylvain Marié, Florence Forbes

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Passage Retrieval on Structured Documents Using Graph Attention Networks.

Lucas Albarede, Philippe Mulhem, Lorraine Goeuriot, Claude Le Pape-Gardeux, Sylvain Marié, Trinidad Chardin-Segui

Proceedings of the Advances in Information Retrieval, 2022

2021

Passage retrieval in context: Experiments on Patents.

Lucas Albarede, Philippe Mulhem, Lorraine Goeuriot, Claude Le Pape-Gardeux, Sylvain Marié, Trinidad Chardin-Segui

Proceedings of the COnférence en Recherche d'Informations et Applications, 2021

2019

Déploiement optimal d'un réseau de capteurs sous des contraintes de couverture et de connectivité. (Optimal deployment in wireless sensor networks under cover and connectivity constraints).

Sylvain Marié

PhD thesis, 2019

2017

Multi-modal and multi-scale temporal metric learning for a robust time series nearest neighbors classification.

Cao-Tri Do, Ahlame Douzal Chouakria, Sylvain Marié, Michèle Rombaut, Saeed Varasteh

Inf. Sci., 2017

2015

A Multi-modal Metric Learning Framework for Time Series kNN Classification.

Cao-Tri Do, Ahlame Douzal Chouakria, Sylvain Marié, Michèle Rombaut

Proceedings of the Advanced Analysis and Learning on Temporal Data, 2015

Temporal and Frequential Metric Learning for Time Series kNN Classification.

Cao-Tri Do, Ahlame Douzal Chouakria, Sylvain Marié, Michèle Rombaut

Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

Multiple metric learning for large margin kNN classification of time series.

Cao-Tri Do, Ahlame Douzal Chouakria, Sylvain Marié, Michèle Rombaut

Proceedings of the 23rd European Signal Processing Conference, 2015