Partition along Characteristic Edges of a Digitized Point Cloud. - Philippe Marin; André Meyer; Vincent Guigue (Shape Modeling International, 2001)

Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances. - Alain Rakotomamonjy; Vincent Guigue; Grégory Mallet; Victor Alvarado (ICANN (1), 2005)

Translation-invariant classification of non-stationary signals. - Vincent Guigue; Alain Rakotomamonjy; Stéphane Canu (Neurocomputing, 2006)

Kernel Basis Pursuit. - Vincent Guigue; Alain Rakotomamonjy; Stéphane Canu (Rev. d'Intelligence Artif., 2006)

BCI Competition III: Dataset II- Ensemble of SVMs for BCI P300 Speller. - Alain Rakotomamonjy; Vincent Guigue (IEEE Trans. Biomed. Eng., 2008)

Réseau de neurones profond et SVM pour la classification des sentiments. - Abdelhalim Rafrafi; Vincent Guigue; Patrick Gallinari (CORIA, 2011)

Représentations et régularisations pour la classification de sentiments. - Abdelhalim Rafrafi; Vincent Guigue; Patrick Gallinari (CORIA, 2012)

Coping with the Document Frequency Bias in Sentiment Classification. - Abdelhalim Rafrafi; Vincent Guigue; Patrick Gallinari (ICWSM, 2012)

Classification de Sentiments Multi-Domaines et Passage à l'Echelle. - Abdelhalim Rafrafi; Vincent Guigue; Patrick Gallinari (CORIA, 2013)

Cross-media sentiment classification and application to box-office forecasting. - Élie Guàrdia-Sebaoun; Abdelhalim Rafrafi; Vincent Guigue; Patrick Gallinari (OAIR, 2013)

Recommandation par combinaison de filtrage collaboratif et d'analyse de sentiments. - Mickaël Poussevin; Élie Guàrdia-Sebaoun; Vincent Guigue; Patrick Gallinari (CORIA-CIFED, 2014)

Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization. - Mickaël Poussevin; Emeric Tonnelier; Nicolas Baskiotis; Vincent Guigue; Patrick Gallinari (MSM/MUSE/SenseML, 2014)

A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks. - Debora Nozza; Daniele Maccagnola; Vincent Guigue; Enza Messina; Patrick Gallinari (SEFM Workshops, 2014)

Extraction d'un vocabulaire de surprise par mélange de filtrage collaboratif et d'analyse de sentiments. - Mickaël Poussevin; Vincent Guigue; Patrick Gallinari (CORIA, 2015)

Designing semantic feature spaces for brain-reading. - Luepol Pipanmaekaporn; Ludmilla Tajtelbom; Vincent Guigue; Thierry Artières (ESANN, 2015)

Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems. - Élie Guàrdia-Sebaoun; Vincent Guigue; Patrick Gallinari (RecSys, 2015)

Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. - Mickaël Poussevin; Vincent Guigue; Patrick Gallinari (CBRecSys@RecSys, 2015)

Recommandation et analyse de sentiments dans un espace latent textuel. - Charles-Emmanuel Dias; Vincent Guigue; Patrick Gallinari (CORIA-CIFED, 2016)

Trajectory Bayesian indexing: The airport ground traffic case. - Cynthia Delauney; Nicolas Baskiotis; Vincent Guigue (ITSC, 2016)

Smart card in public transportation: Designing a analysis system at the human scale. - Emeric Tonnelier; Nicolas Baskiotis; Vincent Guigue; Patrick Gallinari (ITSC, 2016)

Passé, présent, futurs : induction de carrières professionnelles à partir de CV. - Charles-Emmanuel Dias; Vincent Guigue; Patrick Gallinari (CORIA, 2017)

Anomaly detection and characterization in smart card logs using NMF and Tweets. - Emeric Tonnelier; Nicolas Baskiotis; Vincent Guigue; Patrick Gallinari (ESANN, 2017)

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 (CORIA, 2018)

Regularize and explicit collaborative filtering with textual attention. - Charles-Emmanuel Dias; Vincent Guigue; Patrick Gallinari (ESANN, 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 (CORIA-TALN-RJC (DeFT), 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)

Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses. - Étienne Simon; Vincent Guigue; Benjamin Piwowarski (ACL (1), 2019)

Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. - Bruno Taillé; Vincent Guigue; Patrick Gallinari (ECIR (2), 2020)

Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! - Bruno Taillé; Vincent Guigue; Geoffrey Scoutheeten; Patrick Gallinari (EMNLP (1), 2020)

Time Series Prediction using Disentangled Latent Factors. - Perrine Cribier-Delande; Raphaël Puget; Vincent Guigue; Ludovic Denoyer (ESANN, 2020)

Resume: A Robust Framework for Professional Profile Learning & Evaluation. - Clara Gainon de Forsan de Gabriac; Constance Scherer; Amina Djelloul; Vincent Guigue; Patrick Gallinari (ESANN, 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 (ITSC, 2020)

Apprentissage de RepréSentation: de la déCision non Linéaire à la GénéRation de données. - Vincent Guigue (2021)

Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. - Bruno Taillé; Vincent Guigue; Geoffrey Scoutheeten; Patrick Gallinari (EMNLP (1), 2021)

Towards Rigorous Interpretations: a Formalisation of Feature Attribution. - Darius Afchar; Vincent Guigue; Romain Hennequin (ICML, 2021)

Learning Unsupervised Hierarchies of Audio Concepts. - Darius Afchar; Romain Hennequin; Vincent Guigue (ISMIR, 2022)

Interpretable time series neural representation for classification purposes. - Etienne Le Naour; Ghislain Agoua; Nicolas Baskiotis; Vincent Guigue (DSAA, 2023)

Improving generalization in large langue model by learning prefix subspaces. - Louis Falissard; Vincent Guigue; Laure Soulier (EMNLP (Findings), 2023)

Of Spiky SVDs and Music Recommendation. - Darius Afchar; Romain Hennequin; Vincent Guigue (RecSys, 2023)

Dynamic Named Entity Recognition. - Tristan Luiggi; Vincent Guigue; Laure Soulier; Siwar Jendoubi; Aurélien Baelde (SAC, 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 (CORIA-TALN, 2023)

Apprentissage de sous-espaces de préfixes. - Louis Falissard; Vincent Guigue; Laure Soulier (CORIA-TALN, 2023)

Extraction d'entités nommées à partir de descriptions d'espèces. - Maya Sahraoui; Vincent Guigue; Régine Vignes-Lebbe; Marc Pignal (CORIA-TALN, 2023)

Improving generalization in large language models by learning prefix subspaces. - Louis Falissard; Vincent Guigue; Laure Soulier (CoRR, 2023)

Naviguer dans l'incertitude : optimiser la dépendance aux API des systèmes question/réponse. - Pierre Erbacher; Louis Falissard; Vincent Guigue; Laure Soulier (CORIA, 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 (CORIA, 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 (EACL (1), 2024)

Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book QA. - Pierre Erbacher; Louis Falissard; Vincent Guigue; Laure Soulier (ECIR (3), 2024)

CALM: Context Augmentation with Large Language Model for Named Entity Recognition. - Tristan Luiggi; Tanguy Herserant; Thong Tran; Laure Soulier; Vincent Guigue (TPDL (1), 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 (EGC, 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 (TALN (2), 2024)

Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book Question Answering. - Pierre Erbacher; Louis Falissard; Vincent Guigue; Laure Soulier (CoRR, 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)

NutriKG - un graphe de connaissances pour modéliser les préférences et les besoins nutritionnels. - Alexandre Combeau; Fatiha Saïs; Naggeta Kumari; Stéphane Dervaux; Cristina E. Manfredotti; Vincent Guigue; Paolo Viappiani (IC, 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 (ICLR, 2025)

SEval- [inline-graphic not available: see fulltext]: A Statement-Level Framework for Explainable Summarization Evaluation. - Tanguy Herserant; Vincent Guigue (PAKDD (5), 2025)

Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation. - Anfu Tang; Laure Soulier; Vincent Guigue (SIGIR, 2025)

Towards Lighter and Robust Evaluation for Retrieval Augmented Generation. - Alex-Razvan Ispas; Charles-Elie Simon; Fabien Caspani; Vincent Guigue (CoRR, 2025)

Drought forecasting using a hybrid neural architecture for integrating time series and static data. - Julian Agudelo; Vincent Guigue; Cristina E. Manfredotti; Hadrien Piot (CoRR, 2025)

SEval-Ex: A Statement-Level Framework for Explainable Summarization Evaluation. - Tanguy Herserant; Vincent Guigue (CoRR, 2025)