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2020 – today
- 2024
[j5]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)- [c49]Pierre Erbacher, Louis Falissard, Vincent Guigue, Laure Soulier:
Naviguer dans l'incertitude : optimiser la dépendance aux API des systèmes question/réponse. CORIA 2024 - [c48]Tanguy Herserant, Tristan Luiggi, Thong Tran, Vincent Guigue, Laure Soulier:
O-CALM : Augmentation du contexte hors ligne avec un large language model pour la reconnaissance des entités nommées. CORIA 2024 - [c47]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: 1144-1159 - [c46]Pierre Erbacher, Louis Falissard, Vincent Guigue, Laure Soulier:
Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book QA. ECIR (3) 2024: 393-402 - [c45]Tristan Luiggi, Tanguy Herserant, Thong Tran, Laure Soulier, Vincent Guigue:
CALM: Context Augmentation with Large Language Model for Named Entity Recognition. TPDL (1) 2024: 273-291 - [c44]Noémie Jacquet, Vincent Guigue, Cristina E. Manfredotti, Fatiha Saïs, Stéphane Dervaux, Paolo Viappiani:
Modélisation du caractère séquentiel des repas pour améliorer la performance d'un système de recommandation alimentaire. EGC 2024: 131-142 - [c43]Florian Le Bronnec, Song Duong, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari:
LOCOST: Modèles Espace-État pour le Résumé Abstractif de Documents Longs. TALN (2) 2024: 11 - [i13]Pierre Erbacher, Louis Falissard, Vincent Guigue, Laure Soulier:
Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book Question Answering. CoRR abs/2401.01780 (2024) - [i12]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 abs/2401.17919 (2024) - 2023
- [c42]Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue:
Interpretable time series neural representation for classification purposes. DSAA 2023: 1-10 - [c41]Louis Falissard, Vincent Guigue, Laure Soulier:
Improving generalization in large langue model by learning prefix subspaces. EMNLP (Findings) 2023: 11474-11483 - [c40]Darius Afchar
, Romain Hennequin, Vincent Guigue:
Of Spiky SVDs and Music Recommendation. RecSys 2023: 926-932 - [c39]Tristan Luiggi, Vincent Guigue, Laure Soulier, Siwar Jendoubi, Aurélien Baelde:
Dynamic Named Entity Recognition. SAC 2023: 890-897 - [c38]Louis Falissard, Vincent Guigue, Laure Soulier:
Apprentissage de sous-espaces de préfixes. CORIA-TALN 2023: 59-73 - [c37]Maya Sahraoui, Vincent Guigue, Régine Vignes-Lebbe, Marc Pignal:
Extraction d'entités nommées à partir de descriptions d'espèces. CORIA-TALN 2023: 111-126 - [c36]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: 173-184 - [i11]Tristan Luiggi, Laure Soulier, Vincent Guigue, Siwar Jendoubi, Aurélien Baelde:
Dynamic Named Entity Recognition. CoRR abs/2302.10314 (2023) - [i10]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. CoRR abs/2306.05880 (2023) - [i9]Darius Afchar, Romain Hennequin, Vincent Guigue:
Of Spiky SVDs and Music Recommendation. CoRR abs/2307.01212 (2023) - [i8]Louis Falissard, Vincent Guigue, Laure Soulier:
Improving generalization in large language models by learning prefix subspaces. CoRR abs/2310.15793 (2023) - [i7]Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue:
Interpretable time series neural representation for classification purposes. CoRR abs/2310.16696 (2023) - 2022
- [c35]Darius Afchar, Romain Hennequin, Vincent Guigue:
Learning Unsupervised Hierarchies of Audio Concepts. ISMIR 2022: 427-436 - [i6]Darius Afchar, Romain Hennequin, Vincent Guigue:
Learning Unsupervised Hierarchies of Audio Concepts. CoRR abs/2207.11231 (2022) - 2021
- [b1]Vincent Guigue:
Apprentissage de RepréSentation: de la déCision non Linéaire à la GénéRation de données. Sorbonne University, Paris, France, 2021 - [c34]Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari:
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. EMNLP (1) 2021: 10438-10449 - [c33]Darius Afchar, Vincent Guigue, Romain Hennequin:
Towards Rigorous Interpretations: a Formalisation of Feature Attribution. ICML 2021: 76-86 - [i5]Darius Afchar, Romain Hennequin, Vincent Guigue:
Towards Rigorous Interpretations: a Formalisation of Feature Attribution. CoRR abs/2104.12437 (2021) - [i4]Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari:
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. CoRR abs/2109.12008 (2021) - 2020
- [c32]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 - [c31]Bruno Taillé, Vincent Guigue, Patrick Gallinari:
Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. ECIR (2) 2020: 383-391 - [c30]Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari:
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! EMNLP (1) 2020: 3689-3701 - [c29]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: 97-102 - [c28]Perrine Cribier-Delande, Raphaël Puget, Vincent Guigue, Ludovic Denoyer:
Time Series Prediction using Disentangled Latent Factors. ESANN 2020: 115-120 - [c27]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: 1-6 - [i3]Bruno Taillé, Vincent Guigue, Patrick Gallinari:
Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. CoRR abs/2001.08053 (2020) - [i2]Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari:
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! CoRR abs/2009.10684 (2020)
2010 – 2019
- 2019
- [c26]Étienne Simon, Vincent Guigue, Benjamin Piwowarski:
Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses. ACL (1) 2019: 1378-1387 - 2018
- [j4]Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari:
Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework. Neurocomputing 298: 109-121 (2018) - [c25]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 - [c24]Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari:
Regularize and explicit collaborative filtering with textual attention. ESANN 2018 - [c23]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: 279-286 - 2017
- [c22]Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari:
Passé, présent, futurs : induction de carrières professionnelles à partir de CV. CORIA 2017: 281-296 - [c21]Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari:
Anomaly detection and characterization in smart card logs using NMF and Tweets. ESANN 2017 - 2016
- [c20]Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari:
Recommandation et analyse de sentiments dans un espace latent textuel. CORIA-CIFED 2016: 73-88 - [c19]Cynthia Delauney, Nicolas Baskiotis, Vincent Guigue:
Trajectory Bayesian indexing: The airport ground traffic case. ITSC 2016: 1047-1052 - [c18]Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari:
Smart card in public transportation: Designing a analysis system at the human scale. ITSC 2016: 1336-1341 - 2015
- [c17]Mickaël Poussevin, Vincent Guigue, Patrick Gallinari:
Extraction d'un vocabulaire de surprise par mélange de filtrage collaboratif et d'analyse de sentiments. CORIA 2015: 123-138 - [c16]Luepol Pipanmaekaporn, Ludmilla Tajtelbom, Vincent Guigue, Thierry Artières:
Designing semantic feature spaces for brain-reading. ESANN 2015 - [c15]Mickaël Poussevin, Vincent Guigue, Patrick Gallinari:
Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. CBRecSys@RecSys 2015: 34-41 - [c14]Élie Guàrdia-Sebaoun, Vincent Guigue, Patrick Gallinari:
Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems. RecSys 2015: 281-284 - 2014
- [c13]Mickaël Poussevin, Élie Guàrdia-Sebaoun, Vincent Guigue, Patrick Gallinari:
Recommandation par combinaison de filtrage collaboratif et d'analyse de sentiments. CORIA-CIFED 2014: 27-42 - [c12]Mickaël Poussevin, Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari:
Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization. MSM/MUSE/SenseML 2014: 147-164 - [c11]Debora Nozza, Daniele Maccagnola, Vincent Guigue, Enza Messina, Patrick Gallinari:
A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks. SEFM Workshops 2014: 201-213 - [i1]Mickaël Poussevin, Vincent Guigue, Patrick Gallinari:
Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. CoRR abs/1412.5448 (2014) - 2013
- [c10]Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari:
Classification de Sentiments Multi-Domaines et Passage à l'Echelle. CORIA 2013: 117-124 - [c9]Élie Guàrdia-Sebaoun, Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari:
Cross-media sentiment classification and application to box-office forecasting. OAIR 2013: 201-208 - 2012
- [c8]Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari:
Représentations et régularisations pour la classification de sentiments. CORIA 2012: 285-300 - [c7]Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari:
Coping with the Document Frequency Bias in Sentiment Classification. ICWSM 2012 - 2011
- [c6]Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari:
Réseau de neurones profond et SVM pour la classification des sentiments. CORIA 2011: 121-133
2000 – 2009
- 2008
- [j3]Alain Rakotomamonjy, Vincent Guigue:
BCI Competition III: Dataset II- Ensemble of SVMs for BCI P300 Speller. IEEE Trans. Biomed. Eng. 55(3): 1147-1154 (2008) - 2006
- [j2]Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu:
Translation-invariant classification of non-stationary signals. Neurocomputing 69(7-9): 743-753 (2006) - [j1]Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu:
Kernel Basis Pursuit. Rev. d'Intelligence Artif. 20(6): 757-774 (2006) - 2005
- [c5]Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu:
Kernel Basis Pursuit. CAP 2005: 93-106 - [c4]Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu:
Kernel Basis Pursuit. ECML 2005: 146-157 - [c3]Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu:
Translation invariant classification of non-stationary signals. ESANN 2005: 473-478 - [c2]Alain Rakotomamonjy, Vincent Guigue, Grégory Mallet, Victor Alvarado:
Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances. ICANN (1) 2005: 45-50 - 2001
- [c1]Philippe Marin, André Meyer, Vincent Guigue:
Partition along Characteristic Edges of a Digitized Point Cloud. Shape Modeling International 2001: 326-334
Coauthor Index
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