Patrick Gallinari

431 papers A* 33A 32B 22C 8Misc 10Journal 150Unranked 173

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Context Copying Modulation: The Role of Entropy Neurons in Managing Parametric and Contextual Knowledge Conflicts. EMNLP (Findings) Zineddine Tighidet, Andrea Mogini, Hédi Ben-Younes, Jiali Mei, Patrick Gallinari, Benjamin Piwowarski
2025	J	`jnl`	Context Copying Modulation: The Role of Entropy Neurons in Managing Parametric and Contextual Knowledge Conflicts. CoRR Zineddine Tighidet, Andrea Mogini, Hédi Ben-Younes, Jiali Mei, Patrick Gallinari, Benjamin Piwowarski
2025	J	`jnl`	ENMA: Tokenwise Autoregression for Generative Neural PDE Operators. CoRR Armand Kassaï Koupaï, Lise Le Boudec, Louis Serrano, Patrick Gallinari
2025	J	`jnl`	Efficient Generative Transformer Operators For Million-Point PDEs. CoRR Armand Kassaï Koupaï, Lise Le Boudec, Patrick Gallinari
2025	J	`jnl`	Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning. Int. J. Data Sci. Anal. Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti
2025	—	`conf`	Learning Cardiac Electrophysiology with Graph Neural Networks for Fast Data-Driven Personalised Predictions. FIMH (1) Maëlis Morier, Jesus Jairo Rodríguez Padilla, Patrick Gallinari, Maxime Sermesant
2025	J	`jnl`	Learning Physically Consistent Lagrangian Control Models Without Acceleration Measurements. CoRR Ibrahim Laiche, Mokrane Boudaoud, Patrick Gallinari, Pascal Morin
2025	A*	`conf`	Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods. ICLR Lise Le Boudec, Emmanuel de Bézenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin, Patrick Gallinari
2025	—	`conf`	MEXMA: Token-level objectives improve sentence representations. ACL (1) João Maria Janeiro, Benjamin Piwowarski, Patrick Gallinari, Loïc Barrault
2025	A*	`conf`	Mixture of Languages: Improved Multilingual Encoders Through Language Grouping. EMNLP João Maria Janeiro, Belen Alastruey, Francisco Massa, Maha Elbayad, Benjamin Piwowarski, Patrick Gallinari, Loïc Barrault
2025	J	`jnl`	NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models. CoRR Mouadh Yagoubi, Yasser Dahou, Billel Mokeddem, Younes Belkada, Phuc H. Le-Khac, Basma El Amel Boussaha, Réda Alami, Jingwei Zuo, Damiano Marsili, Mugariya Farooq, Mounia Lalmas, Georgia Gkioxari, Patrick Gallinari, Philip Torr, Hakim Hacid
2025	A*	`conf`	SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation. ICLR Song Duong, Florian Le Bronnec, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
2025	J	`jnl`	SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation. CoRR Song Duong, Florian Le Bronnec, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
2025	J	`jnl`	UP-ROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows. CoRR Ismaël Zighed, Nicolas Thome, Patrick Gallinari, Taraneh Sayadi
2025	A*	`conf`	Zebra: In-Context Generative Pretraining for Solving Parametric PDEs. ICML Louis Serrano, Armand Kassaï Koupaï, Thomas X. Wang, Pierre Erbacher, Patrick Gallinari
2024	A*	`conf`	AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields. NeurIPS Louis Serrano, Thomas X. Wang, Etienne Le Naour, Jean-Noël Vittaut, Patrick Gallinari
2024	J	`jnl`	AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields. CoRR Louis Serrano, Thomas X. Wang, Etienne Le Naour, Jean-Noël Vittaut, Patrick Gallinari
2024	A*	`conf`	Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning. NeurIPS Armand Kassaï Koupaï, Jorge Mifsut Benet, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari
2024	J	`jnl`	GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning. CoRR Armand Kassaï Koupaï, Jorge Mifsut Benet, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari
2024	—	`conf`	LOCOST: Modèles Espace-État pour le Résumé Abstractif de Documents Longs. TALN (2) Florian Le Bronnec, Song Duong, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
2024	—	`conf`	LOCOST: State-Space Models for Long Document Abstractive Summarization. EACL (1) Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
2024	J	`jnl`	LOCOST: State-Space Models for Long Document Abstractive Summarization. CoRR Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari
2024	J	`jnl`	Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods. CoRR Lise Le Boudec, Emmanuel de Bézenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin, Patrick Gallinari
2024	J	`jnl`	MEXMA: Token-level objectives improve sentence representations. CoRR João Maria Janeiro, Benjamin Piwowarski, Patrick Gallinari, Loïc Barrault
2024	J	`jnl`	ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design). CoRR Mouadh Yagoubi, Milad Leyli-Abadi, David Danan, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Asma Farjallah, Marc Schoenauer, Patrick Gallinari
2024	J	`jnl`	NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design. CoRR Mouadh Yagoubi, David Danan, Milad Leyli-Abadi, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Maroua Gmati, Asma Farjallah, Paola Cinnella, Patrick Gallinari, Marc Schoenauer
2024	J	`jnl`	Probing Language Models on Their Knowledge Source. CoRR Zineddine Tighidet, Andrea Mogini, Jiali Mei, Benjamin Piwowarski, Patrick Gallinari
2024	J	`jnl`	Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. Trans. Mach. Learn. Res. Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, Patrick Gallinari, Vincent Guigue
2024	J	`jnl`	Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs. CoRR Louis Serrano, Armand Kassaï Koupaï, Thomas X. Wang, Pierre Erbacher, Patrick Gallinari
2023	—	`conf`	Adversarial Sample Detection Through Neural Network Transport Dynamics. ECML/PKDD (1) Skander Karkar, Patrick Gallinari, Alain Rakotomamonjy
2023	J	`jnl`	Adversarial Sample Detection Through Neural Network Transport Dynamics. CoRR Skander Karkar, Patrick Gallinari, Alain Rakotomamonjy
2023	A*	`conf`	Continuous PDE Dynamics Forecasting with Implicit Neural Representations. ICLR Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari
2023	B	`conf`	Enhancing factualness and controllability of Data-to-Text Generation via data Views and constraints. INLG Craig Thomson, Clément Rebuffel, Ehud Reiter, Laure Soulier, Somayajulu Sripada, Patrick Gallinari
2023	—	`conf`	Evaluating the Generalization Property of Prefix-based Methods for Data-to-text Generation. CORIA-TALN (2) Clarine Vongpaseut, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari
2023	J	`jnl`	Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. CoRR Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo
2023	—	`conf`	Handling unstructured data for operator learning using implicit neural representations. Tiny Papers @ ICLR Thomas X. Wang, Patrick Gallinari
2023	J	`jnl`	INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations. CoRR Louis Serrano, Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari
2023	A	`conf`	Learning from Multiple Sources for Data-to-Text and Text-to-Data. AISTATS Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari
2023	J	`jnl`	Learning from Multiple Sources for Data-to-Text and Text-to-Data. CoRR Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari
2023	A*	`conf`	Module-wise Training of Neural Networks via the Minimizing Movement Scheme. NeurIPS Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari
2023	J	`jnl`	Module-wise Training of Neural Networks via the Minimizing Movement Scheme. CoRR Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari
2023	J	`jnl`	Neural Adversarial Attacks with Random Noises. Int. J. Artif. Intell. Tools Hatem Hajri, Manon Césaire, Lucas Schott, Sylvain Lamprier, Patrick Gallinari
2023	A*	`conf`	Operator Learning with Neural Fields: Tackling PDEs on General Geometries. NeurIPS Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X. Wang, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari
2023	J	`jnl`	Operator Learning with Neural Fields: Tackling PDEs on General Geometries. CoRR Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X. Wang, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari
2023	J	`jnl`	Stability of implicit neural networks for long-term forecasting in dynamical systems. CoRR Léon Migus, Julien Salomon, Patrick Gallinari
2023	J	`jnl`	Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. CoRR Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, Patrick Gallinari, Vincent Guigue
2022	A*	`conf`	A Neural Tangent Kernel Perspective of GANs. ICML Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
2022	—	`conf`	APHYN-EP: Physics-Based Deep Learning Framework to Learn and Forecast Cardiac Electrophysiology Dynamics. STACOM@MICCAI Victoriya Kashtanova, Mihaela Pop, Ibrahim Ayed, Patrick Gallinari, Maxime Sermesant
2022	A*	`conf`	AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions. NeurIPS Florent Bonnet, Jocelyn Ahmed Mazari, Paola Cinnella, Patrick Gallinari
2022	J	`jnl`	AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions. CoRR Florent Bonnet, Jocelyn Ahmed Mazari, Paola Cinnella, Patrick Gallinari
2022	J	`jnl`	An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations. CoRR Florent Bonnet, Jocelyn Ahmed Mazari, Thibaut Munzer, Pierre Yser, Patrick Gallinari
2022	A*	`conf`	Constrained Physical-Statistics Models for Dynamical System Identification and Prediction. ICLR Jérémie Donà, Marie Déchelle, Patrick Gallinari, Marina Levy
2022	J	`jnl`	Continuous PDE Dynamics Forecasting with Implicit Neural Representations. CoRR Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari
2022	J	`jnl`	Controlling hallucinations at word level in data-to-text generation. Data Min. Knowl. Discov. Clément Rebuffel, Marco Roberti, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere, Patrick Gallinari
2022	—	`conf`	Deep Learning for Model Correction in Cardiac Electrophysiological Imaging. MIDL Victoriya Kashtanova, Ibrahim Ayed, Andony Arrieula, Mark Potse, Patrick Gallinari, Maxime Sermesant
2022	A*	`conf`	Diverse Weight Averaging for Out-of-Distribution Generalization. NeurIPS Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord
2022	J	`jnl`	Diverse Weight Averaging for Out-of-Distribution Generalization. CoRR Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord
2022	—	`conf`	Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers. HHAI Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo
2022	A*	`conf`	Generalizing to New Physical Systems via Context-Informed Dynamics Model. ICML Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari
2022	J	`jnl`	Generalizing to New Physical Systems via Context-Informed Dynamics Model. CoRR Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari
2022	J	`jnl`	HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization. CoRR Jingang Qu, Thibault Faney, Ze Wang, Patrick Gallinari, Soleiman Yousef, Jean-Charles de Hemptinne
2022	A*	`conf`	Mapping conditional distributions for domain adaptation under generalized target shift. ICLR Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bézenac, Patrick Gallinari
2022	J	`jnl`	Modelling spatiotemporal dynamics from Earth observation data with neural differential equations. Mach. Learn. Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari
2022	J	`jnl`	Module-wise Training of Residual Networks via the Minimizing Movement Scheme. CoRR Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari
2022	—	`conf`	Multi-Scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators. TAG-ML Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari
2022	J	`jnl`	Multi-scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators. CoRR Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari
2022	J	`jnl`	PTFlash : A deep learning framework for isothermal two-phase equilibrium calculations. CoRR Jingang Qu, Thibault Faney, Jean-Charles de Hemptinne, Soleiman Yousef, Patrick Gallinari
2021	J	`jnl`	A Neural Tangent Kernel Perspective of GANs. CoRR Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
2021	A*	`conf`	Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. ICLR Yuan Yin, Vincent Le Guen, Jérémie Donà, Emmanuel de Bézenac, Ibrahim Ayed, Nicolas Thome, Patrick Gallinari
2021	J	`jnl`	Controlling Hallucinations at Word Level in Data-to-Text Generation. CoRR Clément Rebuffel, Marco Roberti, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere, Patrick Gallinari
2021	—	`conf`	CycleGAN Through the Lens of (Dynamical) Optimal Transport. ECML/PKDD (2) Emmanuel de Bézenac, Ibrahim Ayed, Patrick Gallinari
2021	J	`jnl`	Data-QuestEval: A Referenceless Metric for Data to Text Semantic Evaluation. CoRR Clément Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, Patrick Gallinari
2021	—	`conf`	Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation. EMNLP (1) Clément Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, Patrick Gallinari
2021	—	`conf`	Differentiable Feature Selection, A Reparameterization Approach. ECML/PKDD (3) Jérémie Donà, Patrick Gallinari
2021	J	`jnl`	Differentiable Feature Selection, a Reparameterization Approach. CoRR Jérémie Donà, Patrick Gallinari
2021	—	`conf`	EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology. FIMH Victoriya Kashtanova, Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, Maxime Sermesant
2021	C	`conf`	Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. ISCC Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo
2021	J	`jnl`	Explainable Deep Image Classifiers for Skin Lesion Diagnosis. CoRR Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti
2021	A*	`conf`	LEADS: Learning Dynamical Systems that Generalize Across Environments. NeurIPS Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari
2021	J	`jnl`	LEADS: Learning Dynamical Systems that Generalize Across Environments. CoRR Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari
2021	—	`conf`	Learning Dynamical Systems across Environments. AAAI Spring Symposium: MLPS Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari
2021	J	`jnl`	Mapping conditional distributions for domain adaptation under generalized target shift. CoRR Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bézenac, Patrick Gallinari
2021	A*	`conf`	PDE-Driven Spatiotemporal Disentanglement. ICLR Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari
2021	—	`conf`	QuestEval: Summarization Asks for Fact-based Evaluation. EMNLP (1) Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang, Patrick Gallinari
2021	J	`jnl`	SAFEval: Summarization Asks for Fact-based Evaluation. CoRR Thomas Scialom, Paul-Alexis Dray, Patrick Gallinari, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang
2021	—	`conf`	Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. EMNLP (1) Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
2021	J	`jnl`	Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. CoRR Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
2021	B	`conf`	Stochastic sparse adversarial attacks. ICTAI Manon Césaire, Lucas Schott, Hatem Hajri, Sylvain Lamprier, Patrick Gallinari
2021	J	`jnl`	The Rare Word Issue in Natural Language Generation: A Character-Based Solution. Informatics Giovanni Bonetta, Marco Roberti, Rossella Cancelliere, Patrick Gallinari
2021	J	`jnl`	Unsupervised domain adaptation with non-stochastic missing data. CoRR Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach
2021	J	`jnl`	Unsupervised domain adaptation with non-stochastic missing data. Data Min. Knowl. Discov. Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach
2020	—	`conf`	A Hierarchical Model for Data-to-Text Generation. ECIR (1) Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari
2020	—	`conf`	A Principle of Least Action for the Training of Neural Networks. ECML/PKDD (2) Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari
2020	J	`jnl`	A Principle of Least Action for the Training of Neural Networks. CoRR Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari
2020	J	`jnl`	Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. CoRR Vincent Le Guen, Yuan Yin, Jérémie Donà, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Thome, Patrick Gallinari
2020	J	`jnl`	BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations. CoRR Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, Patrick Gallinari
2020	—	`conf`	Capturing Entity Hierarchy in Data-to-Text Generative Models. CIRCLE Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari
2020	J	`jnl`	Classification of Eddy Sea Surface Temperature Signatures Under Cloud Coverage. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Evangelos Moschos, Alexandre Stegner, Olivier Schwander, Patrick Gallinari
2020	—	`conf`	Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. ECIR (2) Bruno Taillé, Vincent Guigue, Patrick Gallinari
2020	J	`jnl`	Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. CoRR Bruno Taillé, Vincent Guigue, Patrick Gallinari
2020	Misc	`conf`	Deep-SST-Eddies: A Deep Learning Framework to Detect Oceanic Eddies in Sea Surface Temperature Images. ICASSP Evangelos Moschos, Olivier Schwander, Alexandre Stegner, Patrick Gallinari
2020	J	`jnl`	Incorporating Visual Semantics into Sentence Representations within a Grounded Space. CoRR Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari
2020	J	`jnl`	Interpretable time series kernel analytics by pre-image estimation. Artif. Intell. Thi Phuong Thao Tran, Ahlame Douzal Chouakria, Saeed Varasteh Yazdi, Paul Honeine, Patrick Gallinari
2020	J	`jnl`	Knowledge graph entity typing via learning connecting embeddings. Knowl. Based Syst. Yu Zhao, Anxiang Zhang, Huali Feng, Qing Li, Patrick Gallinari, Fuji Ren
2020	Misc	`conf`	Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations. ICASSP Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari
2020	—	`conf`	Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! EMNLP (1) Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
2020	J	`jnl`	Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! CoRR Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari
2020	A*	`conf`	Normalizing Kalman Filters for Multivariate Time Series Analysis. NeurIPS Emmanuel de Bézenac, Syama Sundar Rangapuram, Konstantinos Benidis, Michael Bohlke-Schneider, Richard Kurle, Lorenzo Stella, Hilaf Hasson, Patrick Gallinari, Tim Januschowski
2020	B	`conf`	PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation. INLG Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari
2020	J	`jnl`	PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation. CoRR Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari
2020	J	`jnl`	PDE-Driven Spatiotemporal Disentanglement. CoRR Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari
2020	—	`conf`	Resume: A Robust Framework for Professional Profile Learning & Evaluation. CIRCLE Clara Gainon de Forsan de Gabriac, Amina Djelloul, Constance Scherer, Vincent Guigue, Patrick Gallinari
2020	B	`conf`	Resume: A Robust Framework for Professional Profile Learning & Evaluation. ESANN Clara Gainon de Forsan de Gabriac, Constance Scherer, Amina Djelloul, Vincent Guigue, Patrick Gallinari
2020	A*	`conf`	Stochastic Latent Residual Video Prediction. ICML Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
2020	J	`jnl`	Stochastic Latent Residual Video Prediction. CoRR Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
2020	J	`jnl`	Stochastic sparse adversarial attacks. CoRR Hatem Hajri, Manon Césaire, Théo Combey, Sylvain Lamprier, Patrick Gallinari
2020	J	`jnl`	Transductive Zero-Shot Learning using Cross-Modal CycleGAN. CoRR Patrick Bordes, Eloi Zablocki, Benjamin Piwowarski, Patrick Gallinari
2020	—	`conf`	Transfert entre campagnes de Real-Time Bidding. EGC Charles Monzani, Martial Hue, Patrick Gallinari
2020	B	`conf`	What BERT Sees: Cross-Modal Transfer for Visual Question Generation. INLG Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, Patrick Gallinari
2019	J	`jnl`	A Hierarchical Model for Data-to-Text Generation. CoRR Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari
2019	A*	`conf`	Context-Aware Zero-Shot Learning for Object Recognition. ICML Eloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari
2019	J	`jnl`	Context-Aware Zero-Shot Learning for Object Recognition. CoRR Eloi Zablocki, Patrick Bordes, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari
2019	J	`jnl`	Contextual bandits with hidden contexts: a focused data capture from social media streams. Data Min. Knowl. Discov. Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari
2019	—	`conf`	Copy Mechanism and Tailored Training for Character-Based Data-to-Text Generation. ECML/PKDD (2) Marco Roberti, Giovanni Bonetta, Rossella Cancelliere, Patrick Gallinari
2019	J	`jnl`	Copy mechanism and tailored training for character-based data-to-text generation. CoRR Marco Roberti, Giovanni Bonetta, Rossella Cancelliere, Patrick Gallinari
2019	—	`conf`	EP-Net: Learning Cardiac Electrophysiology Models for Physiology-Based Constraints in Data-Driven Predictions. FIMH Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, Maxime Sermesant
2019	J	`jnl`	Embedding Learning with Triple Trustiness on Noisy Knowledge Graph. Entropy Yu Zhao, Huali Feng, Patrick Gallinari
2019	—	`conf`	Incorporating Visual Semantics into Sentence Representations within a Grounded Space. EMNLP/IJCNLP (1) Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari
2019	J	`jnl`	Learning Dynamical Systems from Partial Observations. CoRR Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Julien Brajard, Patrick Gallinari
2019	J	`jnl`	Optimal Unsupervised Domain Translation. CoRR Emmanuel de Bézenac, Ibrahim Ayed, Patrick Gallinari
2019	J	`jnl`	Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training. Knowl. Inf. Syst. Marco Botta, Rossella Cancelliere, Leo Ghignone, Fabio Tango, Patrick Gallinari, Clara Luison
2019	J	`jnl`	Regression with Conditional GAN. CoRR Karan Aggarwal, Matthieu Kirchmeyer, Pranjul Yadav, S. Sathiya Keerthi, Patrick Gallinari
2019	J	`jnl`	Spatio-temporal neural networks for space-time data modeling and relation discovery. Knowl. Inf. Syst. Edouard Delasalles, Ali Ziat, Ludovic Denoyer, Patrick Gallinari
2019	—	`conf`	Un modèle multimodal d'apprentissage de représentations de phrases qui préserve la sémantique visuelle. CORIA Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari
2019	J	`jnl`	Unsupervised Adversarial Image Inpainting. CoRR Arthur Pajot, Emmanuel de Bézenac, Patrick Gallinari
2019	—	`conf`	Unsupervised Adversarial Image Reconstruction. ICLR (Poster) Arthur Pajot, Emmanuel de Bézenac, Patrick Gallinari
2018	J	`jnl`	A distributed Frank-Wolfe framework for learning low-rank matrices with the trace norm. Mach. Learn. Wenjie Zheng, Aurélien Bellet, Patrick Gallinari
2018	J	`jnl`	A novel non-Gaussian embedding based model for recommender systems. Neurocomputing Lin Qiu, Sheng Gao, Qinjie Lyu, Jun Guo, Patrick Gallinari
2018	J	`jnl`	Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework. Neurocomputing Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari
2018	—	`conf`	DEFT 2018: Attention sélective pour classification de microblogs (DEFT 2018 : Selective Attention for Microblogging Classification ). CORIA-TALN-RJC (DeFT) Charles-Emmanuel Dias, Clara Gainon de Forsan de Gabriac, Patrick Gallinari, Vincent Guigue
2018	—	`conf`	Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge. ICLR (Poster) Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari
2018	J	`jnl`	Détection de sources de diffusion par apprentissage de représentations distribuées. Document Numérique Simon Bourigault, Sylvain Lamprier, Patrick Gallinari
2018	J	`jnl`	Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification. Appl. Soft Comput. Alejandro Lopez Rincon, Alberto Paolo Tonda, Mohamed Elati, Olivier Schwander, Benjamin Piwowarski, Patrick Gallinari
2018	A*	`conf`	Learning Multi-Modal Word Representation Grounded in Visual Context. AAAI Eloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari
2018	J	`jnl`	Profile-Based Bandit with Unknown Profiles. J. Mach. Learn. Res. Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari
2018	—	`conf`	RNN et modèle d'attention pour l'apprentissage de profils textuels personnalisés. CORIA Charles-Emmanuel Dias, Clara Gainon de Forsan de Gabriac, Vincent Guigue, Patrick Gallinari
2018	B	`conf`	Regularize and explicit collaborative filtering with textual attention. ESANN Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari
2018	J	`jnl`	Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks. ACM Trans. Knowl. Discov. Data Ludovic Dos Santos, Benjamin Piwowarski, Ludovic Denoyer, Patrick Gallinari
2018	—	`conf`	Représentations Gaussiennes pour le Filtrage Collaboratif. CORIA Hadrien Titeux, Benjamin Piwowarski, Patrick Gallinari
2018	J	`jnl`	Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. CoRR Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari
2018	—	`conf`	Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream Analysis. ECML/PKDD (1) Saeed Varasteh Yazdi, Ahlame Douzal Chouakria, Patrick Gallinari, Manuel Moussallam
2017	J	`jnl`	A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm. CoRR Wenjie Zheng, Aurélien Bellet, Patrick Gallinari
2017	J	`jnl`	A Novel Embedding Method for Information Diffusion Prediction in Social Network Big Data. IEEE Trans. Ind. Informatics Sheng Gao, Huacan Pang, Patrick Gallinari, Jun Guo, Nei Kato
2017	J	`jnl`	A Novel Embedding Model for Relation Prediction in Recommendation Systems. IEICE Trans. Inf. Syst. Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo
2017	B	`conf`	Anomaly detection and characterization in smart card logs using NMF and Tweets. ESANN Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari
2017	—	`conf`	Apprentissage de représentation pour la détection de source dans les réseaux sociaux. CORIA Simon Bourigault, Sylvain Lamprier, Patrick Gallinari
2017	J	`jnl`	Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge. CoRR Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari
2017	A*	`conf`	Gaussian Embeddings for Collaborative Filtering. SIGIR Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari
2017	—	`conf`	LIP6@CLEF2017: Multi-Modal Spatial Role Labeling using Word Embeddings. CLEF (Working Notes) Eloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari
2017	J	`jnl`	Learning Multi-Modal Word Representation Grounded in Visual Context. CoRR Eloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari
2017	J	`jnl`	Multiple Bayesian discriminant functions for high-dimensional massive data classification. Data Min. Knowl. Discov. Jianfei Zhang, Shengrui Wang, Lifei Chen, Patrick Gallinari
2017	—	`conf`	Passé, présent, futurs : induction de carrières professionnelles à partir de CV. CORIA Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari
2017	A*	`conf`	Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. ICDM Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari
2017	—	`conf`	Variational Thompson Sampling for Relational Recurrent Bandits. ECML/PKDD (2) Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari
2017	J	`jnl`	Zero-Shot Embedding for Unseen Entities in Knowledge Graph. IEICE Trans. Inf. Syst. Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo
2016	J	`jnl`	A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base. Computación y Sistemas Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo
2016	J	`jnl`	Apprentissage de représentations pour la modélisation de processus de diffusion dans les réseaux sociaux. Document Numérique Simon Bourigault, Sylvain Lamprier, Patrick Gallinari
2016	—	`conf`	Apprentissage de représentations probabilistes pour la prédiction de diffusions d'informations sur les réseaux sociaux. CORIA-CIFED Simon Bourigault, Sylvain Lamprier, Patrick Gallinari
2016	—	`conf`	Bandit contextuel pour la capture de données temps réel sur les médias sociaux. CORIA-CIFED Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari
2016	J	`jnl`	Collecte ciblée à partir de flux de données en ligne dans les médias sociaux. Une approche de bandit contextuel. Document Numérique Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari
2016	A	`conf`	Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach. ICWSM Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari
2016	J	`jnl`	Influence learning for cascade diffusion models: focus on partial orders of infections. Soc. Netw. Anal. Min. Sylvain Lamprier, Simon Bourigault, Patrick Gallinari
2016	—	`conf`	Learning Distributed Representations of Users for Source Detection in Online Social Networks. ECML/PKDD (2) Simon Bourigault, Sylvain Lamprier, Patrick Gallinari
2016	—	`conf`	Linear Bandits in Unknown Environments. ECML/PKDD (2) Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari
2016	J	`jnl`	Local search and pseudoinversion: an hybrid approach to neural network training. Knowl. Inf. Syst. Luca Rubini, Rossella Cancelliere, Patrick Gallinari, Andrea Grosso
2016	—	`conf`	Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings. ECML/PKDD (2) Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari
2016	—	`conf`	Recommandation et analyse de sentiments dans un espace latent textuel. CORIA-CIFED Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari
2016	A	`conf`	Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model. WSDM Simon Bourigault, Sylvain Lamprier, Patrick Gallinari
2016	—	`conf`	Représentation temporelle des mots : application au clustering de micro-blogs. CORIA-CIFED Zeljko Kraljevic, Nicolas Baskiotis, Benjamin Piwowarski, Patrick Gallinari
2016	—	`conf`	Smart card in public transportation: Designing a analysis system at the human scale. ITSC Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari
2015	J	`jnl`	An analysis of numerical issues in neural training by pseudoinversion. CoRR Rossella Cancelliere, R. Deluca, Mario Gai, Patrick Gallinari, Luca Rubini
2015	J	`jnl`	An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition. BMC Bioinform. 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
2015	—	`conf`	Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux. CORIA Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier
2015	J	`jnl`	Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux. Document Numérique Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier
2015	—	`conf`	Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. CBRecSys@RecSys Mickaël Poussevin, Vincent Guigue, Patrick Gallinari
2015	B	`conf`	Extracting Diffusion Channels from Real-World Social Data: a Delay-Agnostic Learning of Transmission Probabilities. ASONAM Sylvain Lamprier, Simon Bourigault, Patrick Gallinari
2015	—	`conf`	Extraction d'un vocabulaire de surprise par mélange de filtrage collaboratif et d'analyse de sentiments. CORIA Mickaël Poussevin, Vincent Guigue, Patrick Gallinari
2015	—	`conf`	Graph Based Method Approach to the ImageCLEF2015 Task1 - Image Annotation. CLEF (Working Notes) Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari
2015	J	`jnl`	Knowledge base completion by learning pairwise-interaction differentiated embeddings. Data Min. Knowl. Discov. Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo
2015	J	`jnl`	LSHTC: A Benchmark for Large-Scale Text Classification. CoRR Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis, Thierry Artières, George Paliouras, Éric Gaussier, Ion Androutsopoulos, Massih-Reza Amini, Patrick Gallinari
2015	A	`conf`	Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems. RecSys Élie Guàrdia-Sebaoun, Vincent Guigue, Patrick Gallinari
2015	B	`conf`	Leveraging Rating Behavior to Predict Negative Social Ties. ASONAM Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari
2015	J	`jnl`	OCReP: An Optimally Conditioned Regularization for Pseudoinversion Based Neural Training. CoRR Rossella Cancelliere, Mario Gai, Patrick Gallinari, Luca Rubini
2015	J	`jnl`	OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training. Neural Networks Rossella Cancelliere, Mario Gai, Patrick Gallinari, Luca Rubini
2015	—	`conf`	Polarité des jugements et des interactions pour le filtrage collaboratif et la prédiction de liens sociaux. CORIA Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari
2015	B	`conf`	Policies for Contextual Bandit Problems with Count Payoffs. ICTAI Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari
2015	A	`conf`	WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media. ICWSM Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier
2014	—	`conf`	A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks. SEFM Workshops Debora Nozza, Daniele Maccagnola, Vincent Guigue, Enza Messina, Patrick Gallinari
2014	—	`conf`	Apprentissage de représentation pour la diffusion d'Information dans les réseaux sociaux. CORIA-CIFED Simon Bourigault, Cédric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari
2014	Misc	`conf`	Computational Experience with Pseudoinversion-Based Training of Neural Networks Using Random Projection Matrices. AIMSA Luca Rubini, Rossella Cancelliere, Patrick Gallinari, Andrea Grosso, Antonino Raiti
2014	J	`jnl`	Deep Sequential Neural Network. CoRR Ludovic Denoyer, Patrick Gallinari
2014	J	`jnl`	Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. CoRR Mickaël Poussevin, Vincent Guigue, Patrick Gallinari
2014	—	`conf`	Filtrage collaboratif et intégration de la polarité des jugements. CORIA-CIFED Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari
2014	B	`conf`	Graph Anonymization Using Machine Learning. AINA Maria Laura Maag, Ludovic Denoyer, Patrick Gallinari
2014	—	`conf`	Learning Information Spread in Content Networks. ICLR (Workshop Poster) Cédric Lagnier, Simon Bourigault, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari
2014	—	`conf`	Learning States Representations in POMDP. ICLR (Workshop Poster) Gabriella Contardo, Ludovic Denoyer, Thierry Artières, Patrick Gallinari
2014	A	`conf`	Learning latent representations of nodes for classifying in heterogeneous social networks. WSDM Yann Jacob, Ludovic Denoyer, Patrick Gallinari
2014	A	`conf`	Learning social network embeddings for predicting information diffusion. WSDM Simon Bourigault, Cédric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari
2014	—	`conf`	Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization. MSM/MUSE/SenseML Mickaël Poussevin, Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari
2014	—	`conf`	Recommandation par combinaison de filtrage collaboratif et d'analyse de sentiments. CORIA-CIFED Mickaël Poussevin, Élie Guàrdia-Sebaoun, Vincent Guigue, Patrick Gallinari
2014	—	`conf`	Sequentially Generated Instance-Dependent Image Representations for Classification. ICLR Gabriel Dulac-Arnold, Ludovic Denoyer, Nicolas Thome, Matthieu Cord, Patrick Gallinari
2014	A	`conf`	Web-scale classification: web classification in the big data era. WSDM Ioannis Partalas, Massih-Reza Amini, Ion Androutsopoulos, Thierry Artières, Patrick Gallinari, Éric Gaussier, Georgios Paliouras
2013	J	`jnl`	A Cross-Domain Recommendation Model for Cyber-Physical Systems. IEEE Trans. Emerg. Top. Comput. Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari, Zhanyu Ma, Jun Guo
2013	J	`jnl`	A system for the extraction and representation of summary of product characteristics content. Artif. Intell. Medicine Stefania Rubrichi, Silvana Quaglini, Alex Spengler, Paola Russo, Patrick Gallinari
2013	J	`jnl`	Calibration and regret bounds for order-preserving surrogate losses in learning to rank. Mach. Learn. Clément Calauzènes, Nicolas Usunier, Patrick Gallinari
2013	B	`conf`	Choosing which message to publish on social networks: a contextual bandit approach. ASONAM Ricardo Lage, Ludovic Denoyer, Patrick Gallinari, Peter Dolog
2013	—	`conf`	Classification dans les graphes hétérogènes basée sur une représentation latente des noeuds. CORIA Yann Jacob, Ludovic Denoyer, Patrick Gallinari
2013	—	`conf`	Classification de Sentiments Multi-Domaines et Passage à l'Echelle. CORIA Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari
2013	—	`conf`	Cross-Domain Recommendation via Cluster-Level Latent Factor Model. ECML/PKDD (2) Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari, Jun Guo
2013	—	`conf`	Cross-media sentiment classification and application to box-office forecasting. OAIR Élie Guàrdia-Sebaoun, Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari
2013	A	`conf`	Latent Factor BlockModel for Modelling Relational Data. ECIR Sheng Gao, Ludovic Denoyer, Patrick Gallinari, Jun Guo
2013	A*	`conf`	Multiview semi-supervised ranking for automatic image annotation. ACM Multimedia Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari
2013	A	`conf`	Predicting Information Diffusion in Social Networks Using Content and User's Profiles. ECIR Cédric Lagnier, Ludovic Denoyer, Éric Gaussier, Patrick Gallinari
2013	—	`conf`	Robust Bloom Filters for Large MultiLabel Classification Tasks. NIPS Moustapha Cissé, Nicolas Usunier, Thierry Artières, Patrick Gallinari
2012	—	`conf`	"On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking". NIPS Clément Calauzènes, Nicolas Usunier, Patrick Gallinari
2012	J	`jnl`	A Learning to Rank framework applied to text-image retrieval. Multim. Tools Appl. David Buffoni, Sabrina Tollari, Patrick Gallinari
2012	J	`jnl`	Apprentissage automatique de la propagation des étiquettes dans les réseaux sociaux multirelationnels. Document Numérique Yann Jacob, Ludovic Denoyer, Patrick Gallinari
2012	—	`conf`	BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text George Tsatsaronis, Michael Schroeder, Georgios Paliouras, Yannis Almirantis, Ion Androutsopoulos, Éric Gaussier, Patrick Gallinari, Thierry Artières, Michael R. Alvers, Matthias Zschunke, Axel-Cyrille Ngonga Ngomo
2012	A	`conf`	Coping with the Document Frequency Bias in Sentiment Classification. ICWSM Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari
2012	—	`ch.`	Corpus-Based Structure Mapping of XML Document Corpora: A Reinforcement Learning Based Model. Modeling, Learning, and Processing of Text Technological Data Structures Francis Maes, Ludovic Denoyer, Patrick Gallinari
2012	—	`conf`	Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization. ECML/PKDD (2) Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
2012	J	`jnl`	Fast Reinforcement Learning with Large Action Sets using Error-Correcting Output Codes for MDP Factorization CoRR Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
2012	J	`jnl`	Iterative Multi-label Multi-relational Classification Algorithm for complex social networks. Soc. Netw. Anal. Min. Stéphane Peters, Yann Jacob, Ludovic Denoyer, Patrick Gallinari
2012	—	`ch.`	Learnable Ranking Models for Automatic Text Summarization and Information Retrieval. Textual Information Access: Statistical Models Massih-Reza Amini, David Buffoni, Patrick Gallinari, Tuong-Vinh Truong, Nicolas Usunier
2012	—	`conf`	Learning Compact Class Codes for Fast Inference in Large Multi Class Classification. ECML/PKDD (1) Moustapha Cissé, Thierry Artières, Patrick Gallinari
2012	—	`conf`	Lecture Séquentielle de Documents pour la Classification. CORIA Gabriel Dulac-Arnold, Ludovic Denoyer, Patrick Gallinari
2012	—	`conf`	Link prediction via latent factor BlockModel. WWW (Companion Volume) Sheng Gao, Ludovic Denoyer, Patrick Gallinari
2012	—	`conf`	Matrix Pseudoinversion for Image Neural Processing. ICONIP (5) Rossella Cancelliere, Mario Gai, Thierry Artières, Patrick Gallinari
2012	J	`jnl`	Modeling Relational Data via Latent Factor Blockmodel CoRR Sheng Gao, Ludovic Denoyer, Patrick Gallinari
2012	—	`conf`	Predicting information diffusion on social networks with partial knowledge. WWW (Companion Volume) Anis Najar, Ludovic Denoyer, Patrick Gallinari
2012	J	`jnl`	Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks CoRR Sheng Gao, Ludovic Denoyer, Patrick Gallinari
2012	—	`conf`	Probabilistic Latent Tensor Factorization model for link pattern prediction. IC-NIDC Sheng Gao, Ludovic Denoyer, Patrick Gallinari
2012	J	`jnl`	Prédiction de liens temporels en intégrant les informations de contenu et de structure. Ingénierie des Systèmes d Inf. Sheng Gao, Ludovic Denoyer, Patrick Gallinari
2012	A	`conf`	Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics. RecSys Bruno Pradel, Nicolas Usunier, Patrick Gallinari
2012	—	`conf`	Représentations et régularisations pour la classification de sentiments. CORIA Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari
2012	J	`jnl`	Sequential approaches for learning datum-wise sparse representations. Mach. Learn. Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
2011	—	`conf`	Apprentissage des schémas de propagation dans les multi-graphes. CORIA Yann Jacob, Ludovic Denoyer, Patrick Gallinari
2011	A	`conf`	Classification and annotation in social corpora using multiple relations. CIKM Yann Jacob, Ludovic Denoyer, Patrick Gallinari
2011	J	`jnl`	Datum-Wise Classification: A Sequential Approach to Sparsity CoRR Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
2011	—	`conf`	Datum-Wise Classification: A Sequential Approach to Sparsity. ECML/PKDD (1) Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
2011	B	`conf`	Extracting Information from Summary of Product Characteristics for Improving Drugs Prescription Safety. AIME Stefania Rubrichi, Silvana Quaglini, Alex Spengler, Patrick Gallinari
2011	A*	`conf`	Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision. ICML David Buffoni, Clément Calauzènes, Patrick Gallinari, Nicolas Usunier
2011	C	`conf`	Link Pattern Prediction with tensor decomposition in multi-relational networks. CIDM Sheng Gao, Ludovic Denoyer, Patrick Gallinari
2011	—	`conf`	Réseau de neurones profond et SVM pour la classification des sentiments. CORIA Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari
2011	A	`conf`	Temporal link prediction by integrating content and structure information. CIKM Sheng Gao, Ludovic Denoyer, Patrick Gallinari
2011	J	`jnl`	Text Classification: A Sequential Reading Approach CoRR Gabriel Dulac-Arnold, Ludovic Denoyer, Patrick Gallinari
2011	A	`conf`	Text Classification: A Sequential Reading Approach. ECIR Gabriel Dulac-Arnold, Ludovic Denoyer, Patrick Gallinari
2011	A	`conf`	The Importance of the Depth for Text-Image Selection Strategy in Learning-To-Rank. ECIR David Buffoni, Sabrina Tollari, Patrick Gallinari
2010	A	`conf`	A Ranking Based Model for Automatic Image Annotation in a Social Network. ICWSM Ludovic Denoyer, Patrick Gallinari
2010	—	`conf`	A comparison of discriminative classifiers for web news content extraction. RIAO Alex Spengler, Antoine Bordes, Patrick Gallinari
2010	J	`jnl`	Apprentissage d'un espace de concepts de mots pour une nouvelle représentation des données textuelles. Document Numérique Young-Min Kim, Jean-François Pessiot, Massih-Reza Amini, Patrick Gallinari
2010	—	`conf`	Apprentissage de fonctions d'ordonnancement par classification de paires ordonnées et pondérées (OWPC). CORIA David Buffoni, Nicolas Usunier, Patrick Gallinari
2010	B	`conf`	Document structure meets page layout: loopy random fields for web news content extraction. ACM Symposium on Document Engineering Alex Spengler, Patrick Gallinari
2010	J	`jnl`	Erratum: SGDQN is Less Careful than Expected. J. Mach. Learn. Res. Antoine Bordes, Léon Bottou, Patrick Gallinari, Jonathan D. Chang, S. Alex Smith
2010	J	`jnl`	Exploitation du contenu visuel pour améliorer la recherche textuelle d'images en ligne. Document Numérique Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, Patrick Gallinari
2010	J	`jnl`	Improving document clustering in a learned concept space. Inf. Process. Manag. Jean-François Pessiot, Young-Min Kim, Massih-Reza Amini, Patrick Gallinari
2010	B	`conf`	Iterative Annotation of Multi-relational Social Networks. ASONAM Stéphane Peters, Ludovic Denoyer, Patrick Gallinari
2010	—	`conf`	LIP6 at INEX'10: OWPC for Ad Hoc Track. INEX David Buffoni, Nicolas Usunier, Patrick Gallinari
2010	—	`conf`	Modèles d'Ordonnancement pour l'Annotation Automatique d'Images dans les Réseaux Sociaux. CORIA Ludovic Denoyer, Patrick Gallinari
2010	A*	`conf`	Multi-view clustering of multilingual documents. SIGIR Young-Min Kim, Massih-Reza Amini, Cyril Goutte, Patrick Gallinari
2010	—	`conf`	Preventing adverse drug events by extracting information from drug fact sheets. Semantic Mining in Biomedicine Stefania Rubrichi, Alex Spengler, Patrick Gallinari, Silvana Quaglini
2010	J	`jnl`	Report on INEX 2009. SIGIR Forum Thomas Beckers, Patrice Bellot, Gianluca Demartini, Ludovic Denoyer, Christopher M. De Vries, Antoine Doucet, Khairun Nisa Fachry, Norbert Fuhr, Patrick Gallinari, Shlomo Geva, Wei Chi Huang, Tereza Iofciu, Jaap Kamps, Gabriella Kazai, Marijn Koolen, Sangeetha Kutty, Monica Landoni, Miro Lehtonen, Véronique Moriceau, Richi Nayak, Ragnar Nordlie, Nils Pharo, Eric SanJuan, Ralf Schenkel, Xavier Tannier, Martin Theobald, James A. Thom, Andrew Trotman, Arjen P. de Vries
2010	—	`conf`	UPMC/LIP6 at ImageCLEFannotation 2010. CLEF (Notebook Papers/LABs/Workshops) Ali Fakeri-Tabrizi, Sabrina Tollari, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2010	J	`jnl`	Éditorial. Document Numérique Mohand Boughanem, Patrick Gallinari
2009	B	`conf`	A self-training method for learning to rank with unlabeled data. ESANN Tuong-Vinh Truong, Massih-Reza Amini, Patrick Gallinari
2009	—	`conf`	Comparison of Various AVEIR Visual Concept Detectors with an Index of Carefulness. CLEF (Working Notes) Hervé Glotin, Ali Fakeri-Tabrizi, Philippe Mulhem, Marin Ferecatu, Z. Zhao, Sabrina Tollari, Georges Quénot, Hichem Sahbi, Emilie Dumont, Patrick Gallinari
2009	A	`conf`	Exploiting Visual Concepts to Improve Text-Based Image Retrieval. ECIR Sabrina Tollari, Marcin Detyniecki, Christophe Marsala, Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari
2009	—	`conf`	Improving Image Annotation in Imbalanced Classification Problems with Ranking SVM. CLEF (2) Ali Fakeri-Tabrizi, Sabrina Tollari, Nicolas Usunier, Patrick Gallinari
2009	—	`conf`	LIP6 at INEX'09: OWPC for Ad Hoc Track. INEX David Buffoni, Nicolas Usunier, Patrick Gallinari
2009	—	`conf`	Learning to Extract Content from News Webpages. AINA Workshops Alex Spengler, Patrick Gallinari
2009	—	`conf`	Overview of the INEX 2009 XML Mining Track: Clustering and Classification of XML Documents. INEX Richi Nayak, Christopher M. De Vries, Sangeetha Kutty, Shlomo Geva, Ludovic Denoyer, Patrick Gallinari
2009	—	`conf`	Probabilistic Multi-classifier by SVM from voting rule to voting features. EGC Anh Phuc Trinh, David Buffoni, Patrick Gallinari
2009	A*	`conf`	Ranking with ordered weighted pairwise classification. ICML Nicolas Usunier, David Buffoni, Patrick Gallinari
2009	J	`jnl`	Report on INEX 2008. SIGIR Forum Gianluca Demartini, Ludovic Denoyer, Antoine Doucet, Khairun Nisa Fachry, Patrick Gallinari, Shlomo Geva, Darren Wei Che Huang, Tereza Iofciu, Jaap Kamps, Gabriella Kazai, Marijn Koolen, Monica Landoni, Ragnar Nordlie, Nils Pharo, Ralf Schenkel, Martin Theobald, Andrew Trotman, Arjen P. de Vries, Alan Woodley, Jianhan Zhu
2009	J	`jnl`	SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent. J. Mach. Learn. Res. Antoine Bordes, Léon Bottou, Patrick Gallinari
2009	—	`conf`	Simulated Iterative Classification A New Learning Procedure for Graph Labeling. ECML/PKDD (2) Francis Maes, Stéphane Peters, Ludovic Denoyer, Patrick Gallinari
2009	J	`jnl`	Structured prediction with reinforcement learning. Mach. Learn. Francis Maes, Ludovic Denoyer, Patrick Gallinari
2009	—	`conf`	UPMC/LIP6 at ImageCLEFannotation2009: Large Scale Visual Concept Detection and Annotation. CLEF (Working Notes) Ali Fakeri-Tabrizi, Sabrina Tollari, Ludovic Denoyer, Patrick Gallinari
2009	—	`conf`	Utilisation de concepts visuels et de la diversité visuelle pour améliorer la recherche d'images. CORIA Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, Patrick Gallinari
2008	—	`conf`	A Comparative Study of Diversity Methods for Hybrid Text and Image Retrieval Approaches. CLEF Sabrina Tollari, Philippe Mulhem, Marin Ferecatu, Hervé Glotin, Marcin Detyniecki, Patrick Gallinari, Hichem Sahbi, Zhong-Qiu Zhao
2008	A	`conf`	An extension of PLSA for document clustering. CIKM Young-Min Kim, Jean-François Pessiot, Massih-Reza Amini, Patrick Gallinari
2008	—	`conf`	Analyse de la robustesse des algorithmes de méta-recherche discriminante. CORIA Huyen-Trang Vu, Patrick Gallinari
2008	—	`conf`	Applications of Reinforcement Learning to Structured Prediction. EWRL Francis Maes, Ludovic Denoyer, Patrick Gallinari
2008	—	`conf`	Apprentissage d'un espace de concepts de mots pour une nouvelle représentation des données textuelles. CORIA Young-Min Kim, Jean-François Pessiot, Massih-Reza Amini, Patrick Gallinari
2008	—	`conf`	Apprentissage de conversion de documents semi-structurés à partir d'exemples. CORIA Francis Maes, Ludovic Denoyer, Patrick Gallinari
2008	—	`conf`	Clustering en haute dimension par accumulation de clusterings locaux. EGC Marc-Ismaël Akodjènou-Jeannin, Kavé Salamatian, Patrick Gallinari
2008	—	`conf`	Consortium AVEIR at ImageCLEFphoto 2008: on the Fusion of Runs. CLEF (Working Notes) Sabrina Tollari, Marcin Detyniecki, Marin Ferecatu, Hervé Glotin, Philippe Mulhem, Massih-Reza Amini, Ali Fakeri-Tabrizi, Patrick Gallinari, Hichem Sahbi, Zhong-Qiu Zhao
2008	A	`conf`	Efficient Data Clustering by Local Density Approximation. ECAI Marc-Ismaël Akodjènou-Jeannin, Patrick Gallinari
2008	A*	`conf`	Experimental Evaluation of the Value of Structure: How to Efficiently Exploit Interdependencies in Sequence Labeling. ICDM Guillaume Wisniewski, Patrick Gallinari
2008	—	`conf`	Identification of Atrophy Patterns in Alzheimer's Disease Based on SVM Feature Selection and Anatomical Parcellation. MIAR Lilia Mesrob, Benoît Magnin, Olivier Colliot, Marie Sarazin, Valérie Hahn-Barma, Bruno Dubois, Patrick Gallinari, Stéphane Lehéricy, Serge Kinkingnéhun, Habib Benali
2008	—	`ch.`	Machine Learning for Semi-structured Multimedia Documents: Application to Pornographic Filtering and Thematic Categorization. Machine Learning Techniques for Multimedia Ludovic Denoyer, Patrick Gallinari
2008	—	`conf`	Overview of the INEX 2008 XML Mining Track. INEX Ludovic Denoyer, Patrick Gallinari
2008	J	`jnl`	Report on the XML mining track at INEX 2007 categorization and clustering of XML documents. SIGIR Forum Ludovic Denoyer, Patrick Gallinari
2008	—	`conf`	UPMC/LIP6 at ImageCLEF's WikipediaMM: An Image-Annotation Model for an Image Search-Engine. CLEF (Working Notes) Ali Fakeri-Tabrizi, Massih-Reza Amini, Sabrina Tollari, Patrick Gallinari
2008	—	`conf`	UPMC/LIP6 at ImageCLEFphoto 2008: on the Exploitation of Visual Concepts (VCDT). CLEF (Working Notes) Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari
2008	—	`conf`	Une méthode contextuelle d'extension de requête avec des groupements de mots pour le résumé automatique. CORIA Jean-François Pessiot, Young-Min Kim, Massih-Reza Amini, Nicolas Usunier, Patrick Gallinari
2008	—	`conf`	Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval. CLEF Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, Patrick Gallinari
2007	—	`conf`	Filtrage Collaboratif avec un Algorithme d'Ordonnancement. CORIA Jean-François Pessiot, Tuong-Vinh Truong, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2007	—	`conf`	Flexible Grid-Based Clustering. PKDD Marc-Ismaël Akodjènou-Jeannin, Kavé Salamatian, Patrick Gallinari
2007	—	`conf`	From Layout to Semantic: a Reranking Model for Mapping Web Documents to Mediated XML Representations. RIAO Guillaume Wisniewski, Patrick Gallinari
2007	—	`conf`	Learning to Rank for Collaborative Filtering. ICEIS (2) Jean-François Pessiot, Tuong-Vinh Truong, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2007	J	`jnl`	Online Handwritten Shape Recognition Using Segmental Hidden Markov Models. IEEE Trans. Pattern Anal. Mach. Intell. Thierry Artières, Sanparith Marukatat, Patrick Gallinari
2007	J	`jnl`	Precision recall with user modeling (PRUM): Application to structured information retrieval. ACM Trans. Inf. Syst. Benjamin Piwowarski, Patrick Gallinari, Georges Dupret
2007	—	`conf`	Probabilistic Model for Structured Document Mapping. MLDM Guillaume Wisniewski, Francis Maes, Ludovic Denoyer, Patrick Gallinari
2007	—	`conf`	Relaxation Labeling for Selecting and Exploiting Efficiently Non-local Dependencies in Sequence Labeling. PKDD Guillaume Wisniewski, Patrick Gallinari
2007	J	`jnl`	Report on the XML mining track at INEX 2005 and INEX 2006: categorization and clustering of XML documents. SIGIR Forum Ludovic Denoyer, Patrick Gallinari
2007	—	`conf`	Ré-ordonnancement pour l'apprentissage de transformations de documents HTML. EGC Guillaume Wisniewski, Patrick Gallinari
2007	—	`conf`	Sequence Labeling with Reinforcement Learning and Ranking Algorithms. ECML Francis Maes, Ludovic Denoyer, Patrick Gallinari
2007	A*	`conf`	Solving multiclass support vector machines with LaRank. ICML Antoine Bordes, Léon Bottou, Patrick Gallinari, Jason Weston
2006	—	`conf`	A Machine Learning based Approach to Evaluating Retrieval Systems. HLT-NAACL Huyen-Trang Vu, Patrick Gallinari
2006	—	`conf`	A Selective Sampling Strategy for Label Ranking. ECML Massih-Reza Amini, Nicolas Usunier, François Laviolette, Alexandre Lacasse, Patrick Gallinari
2006	—	`conf`	Apprentissage d'ordonnancements en recherche d'information structurée. CORIA Patrick Gallinari, Jean-Noël Vittaut
2006	—	`conf`	Apprentissage statistique pour la constitution des corpus d'évaluation. CORIA Huyen-Trang Vu, Patrick Gallinari
2006	—	`conf`	Factorisation en matrices non négatives pour le filtrage collaboratif. CORIA Jean-François Pessiot, Tuong-Vinh Truong, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2006	A	`conf`	Machine Learning Ranking for Structured Information Retrieval. ECIR Jean-Noël Vittaut, Patrick Gallinari
2006	—	`conf`	Modèle probabiliste pour l'extraction de structures dans les documents semistructurés - Application aux documents Web. CORIA Guillaume Wisniewski, Ludovic Denoyer, Francis Maes, Patrick Gallinari
2006	—	`conf`	Report on the XML Mining Track at INEX 2005 and INEX 2006. INEX Ludovic Denoyer, Patrick Gallinari, Anne-Marie Vercoustre
2006	J	`jnl`	Résumé automatique de texte avec un algorithme d'ordonnancement. Ingénierie des Systèmes d Inf. Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2006	—	`conf`	Supervised and Semi-supervised Machine Learning Ranking. INEX Jean-Noël Vittaut, Patrick Gallinari
2006	—	`conf`	The Wikipedia XML Corpus. INEX Ludovic Denoyer, Patrick Gallinari
2006	J	`jnl`	The Wikipedia XML corpus. SIGIR Forum Ludovic Denoyer, Patrick Gallinari
2006	—	`conf`	XML Structure Mapping. INEX Francis Maes, Ludovic Denoyer, Patrick Gallinari
2005	J	`jnl`	A Bayesian Framework for XML Information Retrieval: Searching and Learning with the INEX Collection. Inf. Retr. Benjamin Piwowarski, Patrick Gallinari
2005	—	`conf`	Apprentissage d'une hiérarchie de concepts pour la conception de modèles de domaine d'hypermédias. EGC (Ateliers) Hermine Njike Fotzo, Thierry Artières, Patrick Gallinari, Julien Blanchard, Guillaume Letellier
2005	A	`conf`	Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms. ECIR Massih-Reza Amini, Nicolas Usunier, Patrick Gallinari
2005	A*	`conf`	Automatic learning of domain model for personalized hypermedia applications. IJCAI Hermine Njike Fotzo, Thierry Artières, Patrick Gallinari, Julien Blanchard, Guillaume Letellier
2005	—	`conf`	Classification automatique de documents structurés. Application au corpus d'arbres étiquetés de type XML. CORIA Guillaume Wisniewski, Ludovic Denoyer, Patrick Gallinari
2005	—	`conf`	Combinaison de fonctions de préférence par boosting pour la recherche de passages dans les systèmes de question/réponse. EGC Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2005	—	`conf`	Generalization error bounds for classifiers trained with interdependent data. NIPS Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2005	A	`conf`	Learning to summarise XML documents using content and structure. CIKM Massih-Reza Amini, Anastasios Tombros, Nicolas Usunier, Mounia Lalmas, Patrick Gallinari
2005	—	`conf`	Machine Learning Ranking and INEX'05. INEX Jean-Noël Vittaut, Patrick Gallinari
2005	—	`conf`	On Effectiveness Measures and Relevance Functions in Ranking INEX Systems. AIRS Huyen-Trang Vu, Patrick Gallinari
2005	—	`conf`	Restructuration automatique de documents dans les corpus semi-structurés hétérogènes. EGC Guillaume Wisniewski, Ludovic Denoyer, Patrick Gallinari
2005	—	`conf`	Résumé automatique de texte avec un algorithme d'ordonnancement. CORIA Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
2005	J	`jnl`	Semi-supervised learning with an imperfect supervisor. Knowl. Inf. Syst. Massih-Reza Amini, Patrick Gallinari
2005	—	`conf`	Sélection de modèles par des méthodes à noyaux pour la classification de données séquentielles. EGC Trinh Minh Tri Do, Thierry Artières, Patrick Gallinari
2005	—	`conf`	Un système d'aide à la navigation dans des hypermédias. EGC Julien Blanchard, Bertrand Petitjean, Thierry Artières, Patrick Gallinari
2005	A	`conf`	Using RankBoost to compare retrieval systems. CIKM Huyen-Trang Vu, Patrick Gallinari
2004	A	`conf`	A Model-Based Approach to Sequence Clustering. ECAI Henri Binsztok, Thierry Artières, Patrick Gallinari
2004	—	`conf`	A generic approach for on-line handwriting recognition. IWFHR Sanparith Marukatat, Thierry Artières, Patrick Gallinari
2004	—	`conf`	An Algebra for Probabilistic XML Retrieval. TDM Benjamin Piwowarski, Patrick Gallinari
2004	—	`conf`	An Algebra for Structured Queries in Bayesian Networks. INEX Jean-Noël Vittaut, Benjamin Piwowarski, Patrick Gallinari
2004	—	`conf`	Apprentissage de Relations entre Concepts - Génération Automatique d'une Structuration Hiérarchique à partir de Corpus. CORIA Hermine Njike Fotzo, Patrick Gallinari
2004	—	`conf`	Apprentissage non-supervisé pour la segmentation automatique de textes. CORIA Jean-François Pessiot, Marc Caillet, Massih-Reza Amini, Patrick Gallinari
2004	J	`jnl`	Bayesian network model for semi-structured document classification. Inf. Process. Manag. Ludovic Denoyer, Patrick Gallinari
2004	—	`conf`	Information Access via Topic Hierarchies and Thematic Annotations from Document Collections. ICEIS (2) Hermine Njike Fotzo, Patrick Gallinari
2004	—	`conf`	Information Access via Topic Hierarchies and Thematic Annotations from Document Collections. ICEIS (Selected Papers) Hermine Njike Fotzo, Patrick Gallinari
2004	—	`conf`	Learning "Generalization/Specialization" Relations between Concepts - Application for Automatically Building Thematic Document Hierarchies. RIAO Hermine Njike Fotzo, Patrick Gallinari
2004	J	`jnl`	Un modèle de mixture de modèles génératifs pour les documents structurés multimédias. Application à la classification de documents XML et HTML. Document Numérique Ludovic Denoyer, Patrick Gallinari
2004	—	`conf`	Unsupervised Learning with Term Clustering for Thematic Segmentation of Texts. RIAO Marc Caillet, Jean-François Pessiot, Massih-Reza Amini, Patrick Gallinari
2003	—	`conf`	A Belief Networks-Based Generative Model for Structured Documents. An Application to the XML Categorization. MLDM Ludovic Denoyer, Patrick Gallinari
2003	A	`conf`	A Flexible Recognition Engine for Complex On-line Handwritten Character Recognition. ICDAR Sanparith Marukatat, Rudy Sicard, Thierry Artières, Patrick Gallinari
2003	J	`jnl`	A Hidden Markov Models combination framework for handwriting recognition. Int. J. Document Anal. Recognit. Thierry Artières, Nadji Gauthier, Patrick Gallinari, Bernadette Dorizzi
2003	—	`conf`	A Machine Learning Model for Information Retrieval with Structured Documents. MLDM Benjamin Piwowarski, Patrick Gallinari
2003	J	`jnl`	An MLP-SVM combination architecture for offline handwritten digit recognition: Reduction of recognition errors by Support Vector Machines rejection mechanisms. Int. J. Document Anal. Recognit. Abdel Bellili, Michel Gilloux, Patrick Gallinari
2003	—	`conf`	Apprentissage de comportements utilisateurs de produits hypermédias. EGC Sylvain Bidel, Laurent Lemoine, Frédéric Piat, Thierry Artières, Patrick Gallinari
2003	—	`conf`	Bayesian Networks and INEX'03. INEX Benjamin Piwowarski, Huyen-Trang Vu, Patrick Gallinari
2003	C	`conf`	Classification and Tracking of Hypermedia Navigation Patterns. ICANN Patrick Gallinari, Sylvain Bidel, Laurent Lemoine, Frédéric Piat, Thierry Artières
2003	—	`conf`	Expected Ratio of Relevant Units: A Measure for Structured Information Retrieval. INEX Benjamin Piwowarski, Patrick Gallinari
2003	—	`conf`	Génération automatique d'une structure hiérarchique de concepts et de documents à partir de corpus. EGC Hermine Njike Fotzo, Patrick Gallinari, Nathalie Lagunas
2003	A*	`conf`	Semi-Supervised Learning with Explicit Misclassification Modeling. IJCAI Massih-Reza Amini, Patrick Gallinari
2003	B	`conf`	Structured multimedia document classification. ACM Symposium on Document Engineering Ludovic Denoyer, Jean-Noël Vittaut, Patrick Gallinari, Sylvie Brunessaux, Stephan Brunessaux
2003	—	`conf`	Un modèle statistique pour la classification de documents structurés. EGC Huyen-Trang Vu, Ludovic Denoyer, Patrick Gallinari
2003	—	`conf`	Using Belief Networks and Fisher Kernels for Structured Document Classification. PKDD Ludovic Denoyer, Patrick Gallinari
2003	—	`conf`	Using Structure For Information Extraction In Html Documents. PRIS Frédéric Kerloch, Thierry Paquet, Patrick Gallinari
2002	—	`conf`	Bayesian Networks and INEX. INEX Workshop Benjamin Piwowarski, Georges-Etienne Faure, Patrick Gallinari
2002	B	`conf`	Data Driven Design of an ANN/HMM System for On-line Unconstrained Handwritten Character Recognition. ICMI Haifeng Li, Thierry Artières, Patrick Gallinari
2002	—	`conf`	Learning Classification with Both Labeled and Unlabeled Data. ECML Jean-Noël Vittaut, Massih-Reza Amini, Patrick Gallinari
2002	—	`conf`	Rejection measures for handwriting sentence recognition. IWFHR Sanparith Marukatat, Thierry Artières, Patrick Gallinari, Bernadette Dorizzi
2002	A	`conf`	Semi Supervised Logistic Regression. ECAI Massih-Reza Amini, Patrick Gallinari
2002	B	`conf`	State Sharing in a Hybrid Neuro-Markovian On-Line Handwriting Recognition System through a Simple Hierarchical Clustering Algorithm. ICMI Haifeng Li, Thierry Artières, Patrick Gallinari
2002	—	`conf`	Stroke level HMMs for on-line handwriting recognition. IWFHR Thierry Artières, Patrick Gallinari
2002	A*	`conf`	The use of unlabeled data to improve supervised learning for text summarization. SIGIR Massih-Reza Amini, Patrick Gallinari
2001	A	`conf`	An Hybrid MLP-SVM Handwritten Digit Recognizer. ICDAR Abdel Bellili, Michel Gilloux, Patrick Gallinari
2001	—	`conf`	Automatic Text Summarization Using Unsupervised and Semi-supervised Learning. PKDD Massih-Reza Amini, Patrick Gallinari
2001	—	`conf`	Characterizing Sequences of User Actions for Access Logs Analysis. User Modeling Thomas Draier, Patrick Gallinari
2001	J	`jnl`	De l'utilisation d'OBD pour la sélection de variables dans les perceptrons multicouches. Rev. d'Intelligence Artif. Philippe Leray, Patrick Gallinari
2001	C	`conf`	Learning for Text Summarization Using Labeled and Unlabeled Sentences. ICANN Massih-Reza Amini, Patrick Gallinari
2001	J	`jnl`	Maximum mutual information training for an online neural predictive handwritten word recognition system. Int. J. Document Anal. Recognit. Sonia Garcia-Salicetti, Bernadette Dorizzi, Patrick Gallinari, Zsolt Wimmer
2001	A	`conf`	Sentence Recognition through Hybrid Neuro-Markovian Modeling. ICDAR Sanparith Marukatat, Thierry Artières, Patrick Gallinari, Bernadette Dorizzi
2001	A	`conf`	Strategies for Combining On-line and Off-line Information in an On-line Handwriting Recognition System. ICDAR Nadji Gauthier, Thierry Artières, Patrick Gallinari, Bernadette Dorizzi
2000	—	`conf`	Learning for Sequence Extraction Tasks. RIAO Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinari
2000	B	`conf`	Multi-Modal Segmental Models for On-Line Handwriting Recognition. ICPR Thierry Artières, J.-M. Marchand, Patrick Gallinari, Bernadette Dorizzi
1999	A	`conf`	Dictionary Preselection in a Neuro-Markovian Word Recognition System. ICDAR Zsolt Wimmer, Bernadette Dorizzi, Patrick Gallinari
1999	J	`jnl`	Improved performance in protein secondary structure prediction by inhomogeneous score combination. Bioinform. Yann Guermeur, Christophe Geourjon, Patrick Gallinari, Gilbert Deléage
1999	J	`jnl`	Practical complexity control in multilayer perceptrons. Signal Process. Patrick Gallinari, Tautvydas Cibas
1999	—	`conf`	Sequence Models for Automatic Highlighting and Surface Information Extraction. BCS-IRSG Annual Colloquium on IR Research Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinari
1998	—	`conf`	Coupled Hierarchical IR and Stochastic Models for Surface Information Extraction. BCS-IRSG Annual Colloquium on IR Research Hugo Zaragoza, Patrick Gallinari
1998	J	`jnl`	Multiple multivariate regression and global sequence optimization: : An application to large-scale models of radiation intensity. Signal Process. Hugo Zaragoza, Patrick Gallinari, R. Curtelin, F. Leglaye
1998	J	`jnl`	Twelve Numerical, Symbolic and Hybrid Supervised Classification Methods. Int. J. Pattern Recognit. Artif. Intell. Olivier Gascuel, Bernadette Bouchon-Meunier, Gilles Caraux, Patrick Gallinari, Alain Guénoche, Yann Guermeur, Yves Lechevallier, Christophe Marsala, Laurent Miclet, Jacques Nicolas, Richard Nock, Mohammed Ramdani, Michèle Sebag, Basavanneppa Tallur, Gilles Venturini, Patrick Vitte
1997	—	`conf`	Distal Learning for Inverse Modeling of Dynamical Systems. ICANNGA Abdelmoumène Toudeft, Patrick Gallinari
1997	C	`conf`	Multiple Multivariate Regression and Global Optimization in a Large Scale Thermodynamical Application. ICANN Hugo Zaragoza, Patrick Gallinari
1997	J	`jnl`	Neural and adaptive controllers for a non-minimum phase varying time-delay system. Artif. Intell. Eng. Abdelmoumène Toudeft, Patrick Gallinari
1997	—	`conf`	Off-Line Cursive Word Recognition with a Hybrid Neural-HMM System. BSDIA Zsolt Wimmer, Sonia Garcia-Salicetti, Bernadette Dorizzi, Patrick Gallinari
1997	C	`conf`	Optimal Linear Regression on Classifier Outputs. ICANN Yann Guermeur, Florence d'Alché-Buc, Patrick Gallinari
1997	—	`conf`	Predictive Models for Sequence Modelling, Application to Speech and Character Recognition. Summer School on Neural Networks Patrick Gallinari
1996	B	`conf`	Adaptive discrimination in an HMM-based neural predictive system for on-line word recognition. ICPR Sonia Garcia-Salicetti, Bernadette Dorizzi, Patrick Gallinari, Zsolt Wimmer
1996	C	`conf`	Combining Statistical Models for Protein Secondary Structure Prediction. ICANN Yann Guermeur, Patrick Gallinari
1996	C	`conf`	Diagnosis Tools for Telecommunication Network Traffic Management. ICANN Philippe Leray, Patrick Gallinari, Elisabeth Didelet
1996	Misc	`conf`	From characters to words: dynamical segmentation and predictive neural networks. ICASSP Sonia Garcia-Salicetti, Patrick Gallinari, Bernadette Dorizzi, Zsolt Wimmer, Stéphane Gentric
1996	J	`jnl`	Variable selection with neural networks. Neurocomputing Tautvydas Cibas, Françoise Fogelman-Soulié, Patrick Gallinari, Sarunas Raudys
1995	A	`conf`	A hidden Markov model extension of a neural predictive system for on-line character recognition. ICDAR Sonia Garcia-Salicetti, Bernadette Dorizzi, Patrick Gallinari, Abdelhamid Mellouk, D. Fanchon
1995	Misc	`conf`	A neural predictive approach for on-line cursive script recognition. ICASSP Sonia Garcia-Salicetti, Patrick Gallinari, Bernadette Dorizzi, Abdelhamid Mellouk, D. Fanchon
1995	Misc	`conf`	Global discrimination for neural predictive systems based on N-best algorithm. ICASSP Abdelhamid Mellouk, Patrick Gallinari
1995	—	`conf`	Integrating heuristic preferences into a neural understanding system. EUROSPEECH Adelaide Stevenur, Patrick Gallinari
1995	—	`conf`	Multi-state predictive neural networks for text-independent speaker recognition. EUROSPEECH Thierry Artières, Patrick Gallinari
1995	J	`jnl`	Neural networks for discrimination and modelization of speakers. Speech Commun. Younès Bennani, Patrick Gallinari
1994	—	`conf`	Discriminative training for improved neural prediction systems. ICASSP (1) Abdelhamid Mellouk, Patrick Gallinari
1993	—	`conf`	A discriminative neural prediction system for speech recognition. ICASSP (1) Abdelhamid Mellouk, Patrick Gallinari
1993	—	`conf`	Neural models for extracting speaker characteristics in speech modelization systems. EUROSPEECH Thierry Artières, Patrick Gallinari
1993	—	`conf`	Prediction and discrimination in neural networks for continuous speech recognition. EUROSPEECH Abdelhamid Mellouk, Patrick Gallinari, F. Rauscher
1992	Misc	`conf`	A speech recognizer optimally combining learning vector quantization, dynamic programming and multi-layer perceptron. ICASSP Xavier Driancourt, Patrick Gallinari
1991	J	`jnl`	On the relations between discriminant analysis and multilayer perceptrons. Neural Networks Patrick Gallinari, Sylvie Thiria, Fouad Badran, Françoise Fogelman-Soulié
1991	Misc	`conf`	On the use of TDNN-extracted features information in talker identification. ICASSP Younès Bennani, Patrick Gallinari
1991	Misc	`conf`	Validation of neural net architectures on speech recognition tasks. ICASSP Younès Bennani, Nasser Chaourar, Patrick Gallinari, Abdelhamid Mellouk
1990	—	`conf`	A Framework for the Cooperation of Learning Algorithms. NIPS Léon Bottou, Patrick Gallinari
1990	Misc	`conf`	A connectionist approach for automatic speaker identification. ICASSP Younès Bennani, Françoise Fogelman-Soulié, Patrick Gallinari
1990	B	`conf`	Cooperation of neural nets for robust classification. IJCNN Michel de Bollivier, Patrick Gallinari, Sylvie Thiria
1990	J	`jnl`	Speech processing and recognition using integrated neurocomputing techniques (Esprit Basic Research Action 3228: SPRINT). Neurocomputing Khalid Choukri, S. Soudoplatoff, A. Wallyn, Frédéric Bimbot, H. Valbret, Patrick Gallinari, Younès Bennani, A. Varga, Manfred Immendörfer, T. Michaux
1988	J	`jnl`	Comparing neural networks and data analysis. Neural Networks Patrick Gallinari, Sylvie Thiria, Françoise Fogelman-Soulié
1988	—	`conf`	Multilayer perceptrons and data analysis. ICNN Patrick Gallinari, Sylvie Thiria, Françoise Fogelman