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- affiliation: LIP6, Paris
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2020 – today
- 2022
[j72]Clément Rebuffel, Marco Roberti
, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere, Patrick Gallinari:
Controlling hallucinations at word level in data-to-text generation. Data Min. Knowl. Discov. 36(1): 318-354 (2022)- [j71]Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari:
Modelling spatiotemporal dynamics from Earth observation data with neural differential equations. Mach. Learn. 111(6): 2349-2380 (2022) - [i45]Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari:
Generalizing to New Physical Systems via Context-Informed Dynamics Model. CoRR abs/2202.01889 (2022) - [i44]Jingang Qu, Thibault Faney, Jean-Charles de Hemptinne, Soleiman Yousef, Patrick Gallinari:
PTFlash : A deep learning framework for isothermal two-phase equilibrium calculations. CoRR abs/2205.03090 (2022) - [i43]Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord:
Diverse Weight Averaging for Out-of-Distribution Generalization. CoRR abs/2205.09739 (2022) - 2021
- [j70]Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach:
Unsupervised domain adaptation with non-stochastic missing data. Data Min. Knowl. Discov. 35(6): 2714-2755 (2021) - [j69]Giovanni Bonetta, Marco Roberti, Rossella Cancelliere, Patrick Gallinari:
The Rare Word Issue in Natural Language Generation: A Character-Based Solution. Informatics 8(1): 20 (2021) - [c247]Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari:
Learning Dynamical Systems across Environments. AAAI Spring Symposium: MLPS 2021 - [c246]Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang, Patrick Gallinari:
QuestEval: Summarization Asks for Fact-based Evaluation. EMNLP (1) 2021: 6594-6604 - [c245]Clément Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, Patrick Gallinari:
Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation. EMNLP (1) 2021: 8029-8036 - [c244]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 - [c243]Victoriya Kashtanova, Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, Maxime Sermesant:
EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology. FIMH 2021: 482-492 - [c242]Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari:
PDE-Driven Spatiotemporal Disentanglement. ICLR 2021 - [c241]Yuan Yin, Vincent Le Guen, Jérémie Donà, Emmanuel de Bézenac, Ibrahim Ayed, Nicolas Thome, Patrick Gallinari:
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. ICLR 2021 - [c240]Manon Césaire, Lucas Schott, Hatem Hajri, Sylvain Lamprier, Patrick Gallinari:
Stochastic sparse adversarial attacks. ICTAI 2021: 1247-1254 - [c239]Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo:
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. ISCC 2021: 1-7 - [c238]Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari:
LEADS: Learning Dynamical Systems that Generalize Across Environments. NeurIPS 2021: 7561-7573 - [c237]Emmanuel de Bézenac, Ibrahim Ayed, Patrick Gallinari:
CycleGAN Through the Lens of (Dynamical) Optimal Transport. ECML/PKDD (2) 2021: 132-147 - [c236]Jérémie Donà, Patrick Gallinari:
Differentiable Feature Selection, A Reparameterization Approach. ECML/PKDD (3) 2021: 414-429 - [i42]Clément Rebuffel, Marco Roberti, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere, Patrick Gallinari:
Controlling Hallucinations at Word Level in Data-to-Text Generation. CoRR abs/2102.02810 (2021) - [i41]Thomas Scialom, Paul-Alexis Dray, Patrick Gallinari, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang:
SAFEval: Summarization Asks for Fact-based Evaluation. CoRR abs/2103.12693 (2021) - [i40]Clément Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, Patrick Gallinari:
Data-QuestEval: A Referenceless Metric for Data to Text Semantic Evaluation. CoRR abs/2104.07555 (2021) - [i39]Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari:
LEADS: Learning Dynamical Systems that Generalize Across Environments. CoRR abs/2106.04546 (2021) - [i38]Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
A Neural Tangent Kernel Perspective of GANs. CoRR abs/2106.05566 (2021) - [i37]Jérémie Donà, Patrick Gallinari:
Differentiable Feature Selection, a Reparameterization Approach. CoRR abs/2107.10030 (2021) - [i36]Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach:
Unsupervised domain adaptation with non-stochastic missing data. CoRR abs/2109.09505 (2021) - [i35]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) - [i34]Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bézenac, Patrick Gallinari:
Mapping conditional distributions for domain adaptation under generalized target shift. CoRR abs/2110.15057 (2021) - [i33]Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti:
Explainable Deep Image Classifiers for Skin Lesion Diagnosis. CoRR abs/2111.11863 (2021) - 2020
- [j68]Thi Phuong Thao Tran, Ahlame Douzal Chouakria, Saeed Varasteh Yazdi, Paul Honeine, Patrick Gallinari:
Interpretable time series kernel analytics by pre-image estimation. Artif. Intell. 286: 103342 (2020) - [j67]Yu Zhao, Anxiang Zhang, Huali Feng, Qing Li, Patrick Gallinari, Fuji Ren:
Knowledge graph entity typing via learning connecting embeddings. Knowl. Based Syst. 196: 105808 (2020) - [j66]Evangelos Moschos, Alexandre Stegner, Olivier Schwander, Patrick Gallinari:
Classification of Eddy Sea Surface Temperature Signatures Under Cloud Coverage. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3437-3447 (2020) - [c235]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 - [c234]Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
Capturing Entity Hierarchy in Data-to-Text Generative Models. CIRCLE 2020 - [c233]Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
A Hierarchical Model for Data-to-Text Generation. ECIR (1) 2020: 65-80 - [c232]Bruno Taillé, Vincent Guigue, Patrick Gallinari:
Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. ECIR (2) 2020: 383-391 - [c231]Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari:
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! EMNLP (1) 2020: 3689-3701 - [c230]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 - [c229]Charles Monzani, Martial Hue, Patrick Gallinari:
Transfert entre campagnes de Real-Time Bidding. EGC 2020: 269-276 - [c228]Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari:
Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations. ICASSP 2020: 3232-3236 - [c227]Evangelos Moschos, Olivier Schwander, Alexandre Stegner, Patrick Gallinari:
Deep-SST-Eddies: A Deep Learning Framework to Detect Oceanic Eddies in Sea Surface Temperature Images. ICASSP 2020: 4307-4311 - [c226]Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
Stochastic Latent Residual Video Prediction. ICML 2020: 3233-3246 - [c225]Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation. INLG 2020: 120-130 - [c224]Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, Patrick Gallinari:
What BERT Sees: Cross-Modal Transfer for Visual Question Generation. INLG 2020: 327-337 - [c223]Emmanuel de Bézenac, Syama Sundar Rangapuram, Konstantinos Benidis, Michael Bohlke-Schneider, Richard Kurle, Lorenzo Stella, Hilaf Hasson, Patrick Gallinari, Tim Januschowski:
Normalizing Kalman Filters for Multivariate Time Series Analysis. NeurIPS 2020 - [c222]Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari:
A Principle of Least Action for the Training of Neural Networks. ECML/PKDD (2) 2020: 101-117 - [i32]Bruno Taillé, Vincent Guigue, Patrick Gallinari:
Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. CoRR abs/2001.08053 (2020) - [i31]Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
Incorporating Visual Semantics into Sentence Representations within a Grounded Space. CoRR abs/2002.02734 (2020) - [i30]Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
Stochastic Latent Residual Video Prediction. CoRR abs/2002.09219 (2020) - [i29]Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, Patrick Gallinari:
BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations. CoRR abs/2002.10832 (2020) - [i28]Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari:
PDE-Driven Spatiotemporal Disentanglement. CoRR abs/2008.01352 (2020) - [i27]Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari:
A Principle of Least Action for the Training of Neural Networks. CoRR abs/2009.08372 (2020) - [i26]Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari:
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! CoRR abs/2009.10684 (2020) - [i25]Vincent Le Guen, Yuan Yin, Jérémie Donà, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Thome, Patrick Gallinari:
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. CoRR abs/2010.04456 (2020) - [i24]Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation. CoRR abs/2010.10866 (2020) - [i23]Patrick Bordes, Eloi Zablocki, Benjamin Piwowarski, Patrick Gallinari:
Transductive Zero-Shot Learning using Cross-Modal CycleGAN. CoRR abs/2011.06850 (2020) - [i22]Hatem Hajri, Manon Césaire, Théo Combey, Sylvain Lamprier, Patrick Gallinari:
Stochastic sparse adversarial attacks. CoRR abs/2011.12423 (2020)
2010 – 2019
- 2019
- [j65]Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari:
Contextual bandits with hidden contexts: a focused data capture from social media streams. Data Min. Knowl. Discov. 33(6): 1853-1893 (2019) - [j64]Yu Zhao, Huali Feng, Patrick Gallinari:
Embedding Learning with Triple Trustiness on Noisy Knowledge Graph. Entropy 21(11): 1083 (2019) - [j63]Marco Botta, Rossella Cancelliere, Leo Ghignone, Fabio Tango, Patrick Gallinari, Clara Luison:
Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training. Knowl. Inf. Syst. 60(3): 1549-1564 (2019) - [j62]Edouard Delasalles, Ali Ziat, Ludovic Denoyer, Patrick Gallinari:
Spatio-temporal neural networks for space-time data modeling and relation discovery. Knowl. Inf. Syst. 61(3): 1241-1267 (2019) - [c221]Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
Un modèle multimodal d'apprentissage de représentations de phrases qui préserve la sémantique visuelle. CORIA 2019 - [c220]Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
Incorporating Visual Semantics into Sentence Representations within a Grounded Space. EMNLP/IJCNLP (1) 2019: 696-707 - [c219]Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, Maxime Sermesant:
EP-Net: Learning Cardiac Electrophysiology Models for Physiology-Based Constraints in Data-Driven Predictions. FIMH 2019: 55-63 - [c218]Arthur Pajot, Emmanuel de Bézenac, Patrick Gallinari:
Unsupervised Adversarial Image Reconstruction. ICLR (Poster) 2019 - [c217]Eloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
Context-Aware Zero-Shot Learning for Object Recognition. ICML 2019: 7292-7303 - [c216]Marco Roberti, Giovanni Bonetta, Rossella Cancelliere, Patrick Gallinari:
Copy Mechanism and Tailored Training for Character-Based Data-to-Text Generation. ECML/PKDD (2) 2019: 648-664 - [i21]Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Julien Brajard, Patrick Gallinari:
Learning Dynamical Systems from Partial Observations. CoRR abs/1902.11136 (2019) - [i20]Marco Roberti, Giovanni Bonetta, Rossella Cancelliere, Patrick Gallinari:
Copy mechanism and tailored training for character-based data-to-text generation. CoRR abs/1904.11838 (2019) - [i19]Eloi Zablocki, Patrick Bordes, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari:
Context-Aware Zero-Shot Learning for Object Recognition. CoRR abs/1904.12638 (2019) - [i18]Karan Aggarwal, Matthieu Kirchmeyer, Pranjul Yadav, S. Sathiya Keerthi, Patrick Gallinari:
Regression with Conditional GAN. CoRR abs/1905.12868 (2019) - [i17]Emmanuel de Bézenac, Ibrahim Ayed, Patrick Gallinari:
Optimal Unsupervised Domain Translation. CoRR abs/1906.01292 (2019) - [i16]Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
A Hierarchical Model for Data-to-Text Generation. CoRR abs/1912.10011 (2019) - [i15]Arthur Pajot, Emmanuel de Bézenac, Patrick Gallinari:
Unsupervised Adversarial Image Inpainting. CoRR abs/1912.12164 (2019) - 2018
- [j61]Alejandro Lopez Rincon, Alberto Paolo Tonda, Mohamed Elati, Olivier Schwander, Benjamin Piwowarski, Patrick Gallinari:
Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification. Appl. Soft Comput. 65: 91-100 (2018) - [j60]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Détection de sources de diffusion par apprentissage de représentations distribuées. Document Numérique 21(3): 11-31 (2018) - [j59]Lin Qiu, Sheng Gao, Qinjie Lyu, Jun Guo, Patrick Gallinari:
A novel non-Gaussian embedding based model for recommender systems. Neurocomputing 278: 144-152 (2018) - [j58]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) - [j57]Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari:
Profile-Based Bandit with Unknown Profiles. J. Mach. Learn. Res. 19: 53:1-53:40 (2018) - [j56]Wenjie Zheng, Aurélien Bellet, Patrick Gallinari:
A distributed Frank-Wolfe framework for learning low-rank matrices with the trace norm. Mach. Learn. 107(8-10): 1457-1475 (2018) - [j55]Ludovic Dos Santos, Benjamin Piwowarski, Ludovic Denoyer, Patrick Gallinari:
Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks. ACM Trans. Knowl. Discov. Data 12(5): 62:1-62:33 (2018) - [c215]Eloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari:
Learning Multi-Modal Word Representation Grounded in Visual Context. AAAI 2018: 5626-5633 - [c214]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 - [c213]Hadrien Titeux, Benjamin Piwowarski, Patrick Gallinari:
Représentations Gaussiennes pour le Filtrage Collaboratif. CORIA 2018 - [c212]Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari:
Regularize and explicit collaborative filtering with textual attention. ESANN 2018 - [c211]Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari:
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge. ICLR (Poster) 2018 - [c210]Saeed Varasteh Yazdi, Ahlame Douzal Chouakria, Patrick Gallinari, Manuel Moussallam:
Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream Analysis. ECML/PKDD (1) 2018: 356-372 - [c209]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 - [i14]Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari:
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. CoRR abs/1804.08562 (2018) - 2017
- [j54]Jianfei Zhang, Shengrui Wang, Lifei Chen, Patrick Gallinari:
Multiple Bayesian discriminant functions for high-dimensional massive data classification. Data Min. Knowl. Discov. 31(2): 465-501 (2017) - [j53]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
A Novel Embedding Model for Relation Prediction in Recommendation Systems. IEICE Trans. Inf. Syst. 100-D(6): 1242-1250 (2017) - [j52]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
Zero-Shot Embedding for Unseen Entities in Knowledge Graph. IEICE Trans. Inf. Syst. 100-D(7): 1440-1447 (2017) - [j51]Sheng Gao, Huacan Pang, Patrick Gallinari, Jun Guo, Nei Kato:
A Novel Embedding Method for Information Diffusion Prediction in Social Network Big Data. IEEE Trans. Ind. Informatics 13(4): 2097-2105 (2017) - [c208]Eloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
LIP6@CLEF2017: Multi-Modal Spatial Role Labeling using Word Embeddings. CLEF (Working Notes) 2017 - [c207]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Apprentissage de représentation pour la détection de source dans les réseaux sociaux. CORIA 2017: 235-250 - [c206]Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari:
Passé, présent, futurs : induction de carrières professionnelles à partir de CV. CORIA 2017: 281-296 - [c205]Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari:
Anomaly detection and characterization in smart card logs using NMF and Tweets. ESANN 2017 - [c204]Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari:
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. ICDM 2017: 705-714 - [c203]Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari:
Variational Thompson Sampling for Relational Recurrent Bandits. ECML/PKDD (2) 2017: 405-421 - [c202]Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari:
Gaussian Embeddings for Collaborative Filtering. SIGIR 2017: 1065-1068 - [i13]Eloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari:
Learning Multi-Modal Word Representation Grounded in Visual Context. CoRR abs/1711.03483 (2017) - [i12]Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari:
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge. CoRR abs/1711.07970 (2017) - [i11]Wenjie Zheng, Aurélien Bellet, Patrick Gallinari:
A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm. CoRR abs/1712.07495 (2017) - 2016
- [j50]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base. Computación y Sistemas 20(3): 459-466 (2016) - [j49]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Collecte ciblée à partir de flux de données en ligne dans les médias sociaux. Une approche de bandit contextuel. Document Numérique 19(2-3): 11-30 (2016) - [j48]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Apprentissage de représentations pour la modélisation de processus de diffusion dans les réseaux sociaux. Document Numérique 19(2-3): 31-52 (2016) - [j47]Luca Rubini, Rossella Cancelliere, Patrick Gallinari, Andrea Grosso:
Local search and pseudoinversion: an hybrid approach to neural network training. Knowl. Inf. Syst. 48(2): 493-503 (2016) - [j46]Sylvain Lamprier, Simon Bourigault, Patrick Gallinari:
Influence learning for cascade diffusion models: focus on partial orders of infections. Soc. Netw. Anal. Min. 6(1): 93:1-93:16 (2016) - [c201]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Bandit contextuel pour la capture de données temps réel sur les médias sociaux. CORIA-CIFED 2016: 57-72 - [c200]Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari:
Recommandation et analyse de sentiments dans un espace latent textuel. CORIA-CIFED 2016: 73-88 - [c199]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Apprentissage de représentations probabilistes pour la prédiction de diffusions d'informations sur les réseaux sociaux. CORIA-CIFED 2016: 89-104 - [c198]Zeljko Kraljevic, Nicolas Baskiotis, Benjamin Piwowarski, Patrick Gallinari:
Représentation temporelle des mots : application au clustering de micro-blogs. CORIA-CIFED 2016: 531-544 - [c197]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach. ICWSM 2016: 131-140 - [c196]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 - [c195]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Learning Distributed Representations of Users for Source Detection in Online Social Networks. ECML/PKDD (2) 2016: 265-281 - [c194]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Linear Bandits in Unknown Environments. ECML/PKDD (2) 2016: 282-298 - [c193]Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari:
Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings. ECML/PKDD (2) 2016: 606-622 - [c192]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model. WSDM 2016: 573-582 - 2015
- [j45]George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, Ioannis Partalas, Matthias Zschunke, Michael R. Alvers, Dirk Weissenborn, Anastasia Krithara, Sergios Petridis, Dimitris Polychronopoulos, Yannis Almirantis, John Pavlopoulos, Nicolas Baskiotis, Patrick Gallinari, Thierry Artières, Axel-Cyrille Ngonga Ngomo, Norman Heino, Éric Gaussier, Liliana Barrio-Alvers, Michael Schroeder, Ion Androutsopoulos, Georgios Paliouras:
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition. BMC Bioinform. 16: 138:1-138:28 (2015) - [j44]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
Knowledge base completion by learning pairwise-interaction differentiated embeddings. Data Min. Knowl. Discov. 29(5): 1486-1504 (2015) - [j43]Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier:
Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux. Document Numérique 18(2-3): 39-58 (2015) - [j42]Rossella Cancelliere, Mario Gai, Patrick Gallinari, Luca Rubini:
OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training. Neural Networks 71: 76-87 (2015) - [c191]Sylvain Lamprier, Simon Bourigault, Patrick Gallinari:
Extracting Diffusion Channels from Real-World Social Data: a Delay-Agnostic Learning of Transmission Probabilities. ASONAM 2015: 178-185 - [c190]