Vincent Guigue

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 41

Top Topics

Named Entity Recognition

Negative Matrix Factorization

Top Venues

Publications

Pierre Erbacher, Louis Falissard, Vincent Guigue, Laure Soulier
Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book Question Answering. CoRR (2024)
Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
LOCOST: State-Space Models for Long Document Abstractive Summarization. EACL (1) (2024)
Pierre Erbacher, Louis Falissard, Vincent Guigue, Laure Soulier
Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book QA. ECIR (3) (2024)
Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, Patrick Gallinari, Vincent Guigue
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. Trans. Mach. Learn. Res. 2024 (2024)
Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
LOCOST: State-Space Models for Long Document Abstractive Summarization. CoRR (2024)
Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue
Interpretable time series neural representation for classification purposes. CoRR (2023)
Maya Sahraoui, Vincent Guigue, Régine Vignes-Lebbe, Marc Pignal
Extraction d'entités nommées à partir de descriptions d'espèces. CORIA-TALN (2023)
Sarah Abchiche, Lynda Said L'Hadj, Vincent Guigue, Laure Soulier
Intégration du raisonnement numérique dans les modèles de langue : État de l'art et direction de recherche. CORIA-TALN (2023)
Darius Afchar, Romain Hennequin, Vincent Guigue
Of Spiky SVDs and Music Recommendation. RecSys (2023)
Louis Falissard, Vincent Guigue, Laure Soulier
Improving generalization in large langue model by learning prefix subspaces. EMNLP (Findings) (2023)
Louis Falissard, Vincent Guigue, Laure Soulier
Apprentissage de sous-espaces de préfixes. CORIA-TALN (2023)
Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Patrick Gallinari, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. CoRR (2023)
Tristan Luiggi, Vincent Guigue, Laure Soulier, Siwar Jendoubi, Aurélien Baelde
Dynamic Named Entity Recognition. SAC (2023)
Louis Falissard, Vincent Guigue, Laure Soulier
Improving generalization in large language models by learning prefix subspaces. CoRR (2023)
Darius Afchar, Romain Hennequin, Vincent Guigue
Of Spiky SVDs and Music Recommendation. CoRR (2023)
Tristan Luiggi, Laure Soulier, Vincent Guigue, Siwar Jendoubi, Aurélien Baelde
Dynamic Named Entity Recognition. CoRR (2023)
Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue
Interpretable time series neural representation for classification purposes. DSAA (2023)
Darius Afchar, Romain Hennequin, Vincent Guigue
Learning Unsupervised Hierarchies of Audio Concepts. CoRR (2022)
Darius Afchar, Romain Hennequin, Vincent Guigue
Learning Unsupervised Hierarchies of Audio Concepts. ISMIR (2022)
Darius Afchar, Romain Hennequin, Vincent Guigue
Towards Rigorous Interpretations: a Formalisation of Feature Attribution. CoRR (2021)
Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. CoRR (2021)
Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. EMNLP (1) (2021)
Darius Afchar, Vincent Guigue, Romain Hennequin
Towards Rigorous Interpretations: a Formalisation of Feature Attribution. ICML (2021)
Clara Gainon de Forsan de Gabriac, Constance Scherer, Amina Djelloul, Vincent Guigue, Patrick Gallinari
Resume: A Robust Framework for Professional Profile Learning & Evaluation. ESANN (2020)
Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! EMNLP (1) (2020)
Perrine Cribier-Delande, Raphaël Puget, Vincent Guigue, Ludovic Denoyer
Time Series Prediction using Disentangled Latent Factors. ESANN (2020)
Bruno Taillé, Vincent Guigue, Patrick Gallinari
Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. ECIR (2) (2020)
Bruno Taillé, Vincent Guigue, Patrick Gallinari
Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. CoRR (2020)
Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! CoRR (2020)
Clara Gainon de Forsan de Gabriac, Amina Djelloul, Constance Scherer, Vincent Guigue, Patrick Gallinari
Resume: A Robust Framework for Professional Profile Learning & Evaluation. CIRCLE (2020)
Perrine Cribier-Delande, Raphaël Puget, Camille Noûs, Vincent Guigue, Ludovic Denoyer
Time series prediction & generation from disentangled latent factors: new opportunities for smart cities. ITSC (2020)
Étienne Simon, Vincent Guigue, Benjamin Piwowarski
Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses. ACL (1) (2019)
Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari
Regularize and explicit collaborative filtering with textual attention. ESANN (2018)
Charles-Emmanuel Dias, Clara Gainon de Forsan de Gabriac, Patrick Gallinari, Vincent Guigue
DEFT 2018: Attention sélective pour classification de microblogs (DEFT 2018 : Selective Attention for Microblogging Classification ). CORIA-TALN-RJC (DeFT) (2018)
Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari
Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework. Neurocomputing 298 (2018)
Charles-Emmanuel Dias, Clara Gainon de Forsan de Gabriac, Vincent Guigue, Patrick Gallinari
RNN et modèle d'attention pour l'apprentissage de profils textuels personnalisés. CORIA (2018)
Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari
Anomaly detection and characterization in smart card logs using NMF and Tweets. ESANN (2017)
Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari
Passé, présent, futurs : induction de carrières professionnelles à partir de CV. CORIA (2017)
Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari
Recommandation et analyse de sentiments dans un espace latent textuel. CORIA-CIFED (2016)
Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari
Smart card in public transportation: Designing a analysis system at the human scale. ITSC (2016)
Cynthia Delauney, Nicolas Baskiotis, Vincent Guigue
Trajectory Bayesian indexing: The airport ground traffic case. ITSC (2016)
Élie Guàrdia-Sebaoun, Vincent Guigue, Patrick Gallinari
Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems. RecSys (2015)
Mickaël Poussevin, Vincent Guigue, Patrick Gallinari
Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. CBRecSys@RecSys (2015)
Mickaël Poussevin, Vincent Guigue, Patrick Gallinari
Extraction d'un vocabulaire de surprise par mélange de filtrage collaboratif et d'analyse de sentiments. CORIA (2015)
Luepol Pipanmaekaporn, Ludmilla Tajtelbom, Vincent Guigue, Thierry Artières
Designing semantic feature spaces for brain-reading. ESANN (2015)
Mickaël Poussevin, Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari
Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization. MSM/MUSE/SenseML (2014)
Mickaël Poussevin, Vincent Guigue, Patrick Gallinari
Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. CoRR (2014)
Debora Nozza, Daniele Maccagnola, Vincent Guigue, Enza Messina, Patrick Gallinari
A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks. SEFM Workshops (2014)
Mickaël Poussevin, Élie Guàrdia-Sebaoun, Vincent Guigue, Patrick Gallinari
Recommandation par combinaison de filtrage collaboratif et d'analyse de sentiments. CORIA-CIFED (2014)
Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari
Classification de Sentiments Multi-Domaines et Passage à l'Echelle. CORIA (2013)
Élie Guàrdia-Sebaoun, Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari
Cross-media sentiment classification and application to box-office forecasting. OAIR (2013)
Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari
Coping with the Document Frequency Bias in Sentiment Classification. ICWSM (2012)
Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari
Représentations et régularisations pour la classification de sentiments. CORIA (2012)
Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari
Réseau de neurones profond et SVM pour la classification des sentiments. CORIA (2011)
Alain Rakotomamonjy, Vincent Guigue
BCI Competition III: Dataset II- Ensemble of SVMs for BCI P300 Speller. IEEE Trans. Biomed. Eng. 55 (3) (2008)
Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
Kernel Basis Pursuit. Rev. d'Intelligence Artif. 20 (6) (2006)
Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
Translation-invariant classification of non-stationary signals. Neurocomputing 69 (7-9) (2006)
Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
Translation invariant classification of non-stationary signals. ESANN (2005)
Alain Rakotomamonjy, Vincent Guigue, Gregory Mallet, Victor Alvarado
Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances. ICANN (1) (2005)
Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
Kernel Basis Pursuit. ECML (2005)
Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
Kernel Basis Pursuit. CAP (2005)
Philippe Marin, André Meyer, Vincent Guigue
Partition along Characteristic Edges of a Digitized Point Cloud. Shape Modeling International (2001)