Vincent Guigue

According to our database, Vincent Guigue authored at least 54 papers between 2001 and 2025.

Collaborative distances:

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

2025

SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation.

Song Duong, Florian Le Bronnec, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari

CoRR, February, 2025

2024

Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations.

Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, Patrick Gallinari, Vincent Guigue

Trans. Mach. Learn. Res., 2024

Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book Question Answering.

Pierre Erbacher, Louis Falissard, Vincent Guigue, Laure Soulier

CoRR, 2024

LOCOST: Modèles Espace-État pour le Résumé Abstractif de Documents Longs.

Florian Le Bronnec, Song Duong, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari

Proceedings of the Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, 2024

Modélisation du caractère séquentiel des repas pour améliorer la performance d'un système de recommandation alimentaire.

Noémie Jacquet, Vincent Guigue, Cristina E. Manfredotti, Fatiha Saïs, Stéphane Dervaux, Paolo Viappiani

Proceedings of the Extraction et Gestion des Connaissances, 2024

CALM: Context Augmentation with Large Language Model for Named Entity Recognition.

Tristan Luiggi, Tanguy Herserant, Thong Tran, Laure Soulier, Vincent Guigue

Proceedings of the Linking Theory and Practice of Digital Libraries, 2024

Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book QA.

Pierre Erbacher, Louis Falissard, Vincent Guigue, Laure Soulier

Proceedings of the Advances in Information Retrieval, 2024

LOCOST: State-Space Models for Long Document Abstractive Summarization.

Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

O-CALM : Augmentation du contexte hors ligne avec un large language model pour la reconnaissance des entités nommées.

Tanguy Herserant, Tristan Luiggi, Thong Tran, Vincent Guigue, Laure Soulier

Proceedings of the COnférence en Recherche d'Informations et Applications, 2024

Naviguer dans l'incertitude : optimiser la dépendance aux API des systèmes question/réponse.

Pierre Erbacher, Louis Falissard, Vincent Guigue, Laure Soulier

Proceedings of the COnférence en Recherche d'Informations et Applications, 2024

2023

Improving generalization in large language models by learning prefix subspaces.

Louis Falissard, Vincent Guigue, Laure Soulier

CoRR, 2023

Extraction d'entités nommées à partir de descriptions d'espèces.

Maya Sahraoui, Vincent Guigue, Régine Vignes-Lebbe, Marc Pignal

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

Apprentissage de sous-espaces de préfixes.

Louis Falissard, Vincent Guigue, Laure Soulier

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

Intégration du raisonnement numérique dans les modèles de langue : État de l'art et direction de recherche.

Sarah Abchiche, Lynda Said L'Hadj, Vincent Guigue, Laure Soulier

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

Dynamic Named Entity Recognition.

Tristan Luiggi, Vincent Guigue, Laure Soulier, Siwar Jendoubi, Aurélien Baelde

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Of Spiky SVDs and Music Recommendation.

Darius Afchar, Romain Hennequin, Vincent Guigue

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Improving generalization in large langue model by learning prefix subspaces.

Louis Falissard, Vincent Guigue, Laure Soulier

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Interpretable time series neural representation for classification purposes.

Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Learning Unsupervised Hierarchies of Audio Concepts.

Darius Afchar, Romain Hennequin, Vincent Guigue

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

2021

Towards Rigorous Interpretations: a Formalisation of Feature Attribution.

Darius Afchar, Vincent Guigue, Romain Hennequin

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

Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction.

Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Apprentissage de RepréSentation: de la déCision non Linéaire à la GénéRation de données.

Vincent Guigue

, 2021

2020

Time series prediction & generation from disentangled latent factors: new opportunities for smart cities.

Perrine Cribier-Delande, Raphaël Puget, Camille Noûs, Vincent Guigue, Ludovic Denoyer

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Resume: A Robust Framework for Professional Profile Learning & Evaluation.

Clara Gainon de Forsan de Gabriac, Constance Scherer, Amina Djelloul, Vincent Guigue, Patrick Gallinari

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Time Series Prediction using Disentangled Latent Factors.

Perrine Cribier-Delande, Raphaël Puget, Vincent Guigue, Ludovic Denoyer

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Let's Stop Incorrect Comparisons in End-to-end Relation Extraction!

Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization.

Bruno Taillé, Vincent Guigue, Patrick Gallinari

Proceedings of the Advances in Information Retrieval, 2020

2019

Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses.

Étienne Simon, Vincent Guigue, Benjamin Piwowarski

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework.

Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari

Neurocomputing, 2018

DEFT 2018: Attention sélective pour classification de microblogs (DEFT 2018 : Selective Attention for Microblogging Classification ).

Charles-Emmanuel Dias, Clara Gainon de Forsan de Gabriac, Patrick Gallinari, Vincent Guigue

Proceedings of the Actes de la Conférence CORIA-TALN-RJC - Volume 2, 2018

Regularize and explicit collaborative filtering with textual attention.

Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

RNN et modèle d'attention pour l'apprentissage de profils textuels personnalisés.

Charles-Emmanuel Dias, Clara Gainon de Forsan de Gabriac, Vincent Guigue, Patrick Gallinari

Proceedings of the COnférence en Recherche d'Informations et Applications, 2018

2017

Anomaly detection and characterization in smart card logs using NMF and Tweets.

Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Passé, présent, futurs : induction de carrières professionnelles à partir de CV.

Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari

Proceedings of the COnférence en Recherche d'Informations et Applications, 2017

2016

Smart card in public transportation: Designing a analysis system at the human scale.

Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Trajectory Bayesian indexing: The airport ground traffic case.

Cynthia Delauney, Nicolas Baskiotis, Vincent Guigue

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Recommandation et analyse de sentiments dans un espace latent textuel.

Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari

Proceedings of the CORIA 2016 - Conférence en Recherche d'Informations et Applications, 2016

2015

Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary.

Mickaël Poussevin, Vincent Guigue, Patrick Gallinari

Proceedings of the 2nd Workshop on New Trends on Content-Based Recommender Systems co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), 2015

Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems.

Élie Guàrdia-Sebaoun, Vincent Guigue, Patrick Gallinari

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Designing semantic feature spaces for brain-reading.

Luepol Pipanmaekaporn, Ludmilla Tajtelbom, Vincent Guigue, Thierry Artières

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

Extraction d'un vocabulaire de surprise par mélange de filtrage collaboratif et d'analyse de sentiments.

Mickaël Poussevin, Vincent Guigue, Patrick Gallinari

Proceedings of the CORIA 2015 - Conférence en Recherche d'Infomations et Applications, 2015

2014

A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks.

Debora Nozza, Daniele Maccagnola, Vincent Guigue, Enza Messina, Patrick Gallinari

Proceedings of the Software Engineering and Formal Methods, 2014

Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization.

Mickaël Poussevin, Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari

Proceedings of the Big Data Analytics in the Social and Ubiquitous Context, 2014

Recommandation par combinaison de filtrage collaboratif et d'analyse de sentiments.

Mickaël Poussevin, Élie Guàrdia-Sebaoun, Vincent Guigue, Patrick Gallinari

Proceedings of the CORIA 2014, 2014

2013

Cross-media sentiment classification and application to box-office forecasting.

Élie Guàrdia-Sebaoun, Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari

Proceedings of the Open research Areas in Information Retrieval, 2013

Classification de Sentiments Multi-Domaines et Passage à l'Echelle.

Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari

Proceedings of the CORIA 2013 - Conférence en Recherche d'Infomations et Applications, 2013

2012

Coping with the Document Frequency Bias in Sentiment Classification.

Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari

Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Représentations et régularisations pour la classification de sentiments.

Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari

Proceedings of the CORIA (Conférence en Recherche d'Infomations et Applications), 2012

2011

Réseau de neurones profond et SVM pour la classification des sentiments.

Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari

Proceedings of the COnférence en Recherche d'Infomations et Applications, 2011

2008

BCI Competition III: Dataset II- Ensemble of SVMs for BCI P300 Speller.

Alain Rakotomamonjy, Vincent Guigue

IEEE Trans. Biomed. Eng., 2008

2006

Kernel Basis Pursuit.

Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu

Rev. d'Intelligence Artif., 2006

Translation-invariant classification of non-stationary signals.

Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu

Neurocomputing, 2006

2005

Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances.

Alain Rakotomamonjy, Vincent Guigue, Grégory Mallet, Victor Alvarado

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2001

Partition along Characteristic Edges of a Digitized Point Cloud.

Philippe Marin, André Meyer, Vincent Guigue

Proceedings of the 2001 International Conference on Shape Modeling and Applications (SMI 2001), 2001