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ORCIDPatrick Gallinari
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- affiliation: LIP6, Paris
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2020 – today
- 2025
[c273]Lise Le Boudec, Emmanuel de Bézenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin, Patrick Gallinari:
Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods. ICLR 2025- [c272]Song Duong, Florian Le Bronnec, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari:
SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation. ICLR 2025 - [i70]Song Duong, Florian Le Bronnec, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari:
SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation. CoRR abs/2502.13674 (2025) - [i69]Ismaël Zighed, Nicolas Thome, Patrick Gallinari, Taraneh Sayadi:
UP-ROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows. CoRR abs/2503.23236 (2025) - 2024
- [j74]Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, Patrick Gallinari, Vincent Guigue:
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. Trans. Mach. Learn. Res. 2024 (2024) - [c271]Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari:
LOCOST: State-Space Models for Long Document Abstractive Summarization. EACL (1) 2024: 1144-1159 - [c270]Armand Kassaï Koupaï, Jorge Mifsut Benet, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari:
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning. NeurIPS 2024 - [c269]Louis Serrano, Thomas X. Wang, Etienne Le Naour, Jean-Noël Vittaut, Patrick Gallinari:
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields. NeurIPS 2024 - [c268]Florian Le Bronnec, Song Duong, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari:
LOCOST: Modèles Espace-État pour le Résumé Abstractif de Documents Longs. TALN (2) 2024: 11 - [i68]Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari:
LOCOST: State-Space Models for Long Document Abstractive Summarization. CoRR abs/2401.17919 (2024) - [i67]Mouadh Yagoubi, Milad Leyli-Abadi, David Danan, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Asma Farjallah, Marc Schoenauer, Patrick Gallinari:
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design). CoRR abs/2403.01623 (2024) - [i66]Louis Serrano, Thomas X. Wang, Etienne Le Naour, Jean-Noël Vittaut, Patrick Gallinari:
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields. CoRR abs/2406.02176 (2024) - [i65]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:
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design. CoRR abs/2407.01641 (2024) - [i64]João Maria Janeiro, Benjamin Piwowarski, Patrick Gallinari, Loïc Barrault:
MEXMA: Token-level objectives improve sentence representations. CoRR abs/2409.12737 (2024) - [i63]Louis Serrano, Armand Kassaï Koupaï, Thomas X. Wang, Pierre Erbacher, Patrick Gallinari:
Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs. CoRR abs/2410.03437 (2024) - [i62]Zineddine Tighidet, Andrea Mogini, Jiali Mei, Benjamin Piwowarski, Patrick Gallinari:
Probing Language Models on Their Knowledge Source. CoRR abs/2410.05817 (2024) - [i61]Lise Le Boudec, Emmanuel de Bézenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin, Patrick Gallinari:
Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods. CoRR abs/2410.06820 (2024) - [i60]Armand Kassaï Koupaï, Jorge Mifsut Benet, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari:
GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning. CoRR abs/2410.23889 (2024) - 2023
- [j73]Hatem Hajri, Manon Césaire, Lucas Schott, Sylvain Lamprier, Patrick Gallinari:
Neural Adversarial Attacks with Random Noises. Int. J. Artif. Intell. Tools 32(5): 2360010:1-2360010:22 (2023) - [c267]Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari:
Learning from Multiple Sources for Data-to-Text and Text-to-Data. AISTATS 2023: 3733-3753 - [c266]Thomas X. Wang, Patrick Gallinari:
Handling unstructured data for operator learning using implicit neural representations. Tiny Papers @ ICLR 2023 - [c265]Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari:
Continuous PDE Dynamics Forecasting with Implicit Neural Representations. ICLR 2023 - [c264]Craig Thomson, Clément Rebuffel, Ehud Reiter
, Laure Soulier, Somayajulu Sripada, Patrick Gallinari:
Enhancing factualness and controllability of Data-to-Text Generation via data Views and constraints. INLG 2023: 221-236 - [c263]Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari:
Module-wise Training of Neural Networks via the Minimizing Movement Scheme. NeurIPS 2023 - [c262]Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X. Wang, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari:
Operator Learning with Neural Fields: Tackling PDEs on General Geometries. NeurIPS 2023 - [c261]Skander Karkar, Patrick Gallinari, Alain Rakotomamonjy:
Adversarial Sample Detection Through Neural Network Transport Dynamics. ECML/PKDD (1) 2023: 164-181 - [c260]Clarine Vongpaseut, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari:
Evaluating the Generalization Property of Prefix-based Methods for Data-to-text Generation. CORIA-TALN (2) 2023: 73-81 - [i59]Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo:
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. CoRR abs/2302.03033 (2023) - [i58]Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari:
Learning from Multiple Sources for Data-to-Text and Text-to-Data. CoRR abs/2302.11269 (2023) - [i57]Léon Migus, Julien Salomon, Patrick Gallinari:
Stability of implicit neural networks for long-term forecasting in dynamical systems. CoRR abs/2305.17155 (2023) - [i56]Skander Karkar, Patrick Gallinari, Alain Rakotomamonjy:
Adversarial Sample Detection Through Neural Network Transport Dynamics. CoRR abs/2306.04252 (2023) - [i55]Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, Patrick Gallinari, Vincent Guigue:
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. CoRR abs/2306.05880 (2023) - [i54]Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X. Wang, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari:
Operator Learning with Neural Fields: Tackling PDEs on General Geometries. CoRR abs/2306.07266 (2023) - [i53]Louis Serrano, Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari:
INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations. CoRR abs/2307.13538 (2023) - [i52]Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari:
Module-wise Training of Neural Networks via the Minimizing Movement Scheme. CoRR abs/2309.17357 (2023) - 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) - [c259]Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo:
Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers. HHAI 2022: 258-260 - [c258]Jérémie Donà, Marie Déchelle, Patrick Gallinari, Marina Levy:
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction. ICLR 2022 - [c257]Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bézenac, Patrick Gallinari:
Mapping conditional distributions for domain adaptation under generalized target shift. ICLR 2022 - [c256]Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
A Neural Tangent Kernel Perspective of GANs. ICML 2022: 6660-6704 - [c255]Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari:
Generalizing to New Physical Systems via Context-Informed Dynamics Model. ICML 2022: 11283-11301 - [c254]Victoriya Kashtanova, Ibrahim Ayed, Andony Arrieula, Mark Potse, Patrick Gallinari, Maxime Sermesant:
Deep Learning for Model Correction in Cardiac Electrophysiological Imaging. MIDL 2022: 665-675 - [c253]Florent Bonnet, Jocelyn Ahmed Mazari, Paola Cinnella, Patrick Gallinari:
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions. NeurIPS 2022 - [c252]Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord:
Diverse Weight Averaging for Out-of-Distribution Generalization. NeurIPS 2022 - [c251]Victoriya Kashtanova, Mihaela Pop, Ibrahim Ayed, Patrick Gallinari, Maxime Sermesant:
APHYN-EP: Physics-Based Deep Learning Framework to Learn and Forecast Cardiac Electrophysiology Dynamics. STACOM@MICCAI 2022: 190-199 - [c250]Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari:
Multi-Scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators. TAG-ML 2022: 332-340 - [i51]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) - [i50]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) - [i49]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) - [i48]Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari:
Multi-scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators. CoRR abs/2206.14687 (2022) - [i47]Florent Bonnet, Jocelyn Ahmed Mazari, Thibaut Munzer, Pierre Yser, Patrick Gallinari:
An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations. CoRR abs/2206.14709 (2022) - [i46]Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari:
Continuous PDE Dynamics Forecasting with Implicit Neural Representations. CoRR abs/2209.14855 (2022) - [i45]Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari:
Module-wise Training of Residual Networks via the Minimizing Movement Scheme. CoRR abs/2210.00949 (2022) - [i44]Jingang Qu, Thibault Faney, Ze Wang, Patrick Gallinari, Soleiman Yousef, Jean-Charles de Hemptinne:
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization. CoRR abs/2211.08253 (2022) - [i43]Florent Bonnet, Jocelyn Ahmed Mazari, Paola Cinnella, Patrick Gallinari:
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions. CoRR abs/2212.07564 (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) - [c249]Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari:
Learning Dynamical Systems across Environments. AAAI Spring Symposium: MLPS 2021 - [c248]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 - [c247]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 - [c246]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 - [c245]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 - [c244]Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari:
PDE-Driven Spatiotemporal Disentanglement. ICLR 2021 - [c243]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 - [c242]Manon Césaire, Lucas Schott, Hatem Hajri, Sylvain Lamprier, Patrick Gallinari:
Stochastic sparse adversarial attacks. ICTAI 2021: 1247-1254 - [c241]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 - [c240]Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari:
LEADS: Learning Dynamical Systems that Generalize Across Environments. NeurIPS 2021: 7561-7573 - [c239]Emmanuel de Bézenac, Ibrahim Ayed, Patrick Gallinari:
CycleGAN Through the Lens of (Dynamical) Optimal Transport. ECML/PKDD (2) 2021: 132-147 - [c238]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) - [c237]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 - [c236]Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
Capturing Entity Hierarchy in Data-to-Text Generative Models. CIRCLE 2020 - [c235]Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
A Hierarchical Model for Data-to-Text Generation. ECIR (1) 2020: 65-80 - [c234]Bruno Taillé, Vincent Guigue, Patrick Gallinari:
Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. ECIR (2) 2020: 383-391 - [c233]Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari:
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! EMNLP (1) 2020: 3689-3701 - [c232]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 - [c231]Charles Monzani, Martial Hue, Patrick Gallinari:
Transfert entre campagnes de Real-Time Bidding. EGC 2020: 269-276 - [c230]Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari:
Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations. ICASSP 2020: 3232-3236 - [c229]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 - [c228]Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
Stochastic Latent Residual Video Prediction. ICML 2020: 3233-3246 - [c227]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 - [c226]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 - [c225]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 - [c224]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) - [c223]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 - [c222]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 - [c221]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 - [c220]Arthur Pajot, Emmanuel de Bézenac, Patrick Gallinari:
Unsupervised Adversarial Image Reconstruction. ICLR (Poster) 2019 - [c219]Eloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
Context-Aware Zero-Shot Learning for Object Recognition. ICML 2019: 7292-7303 - [c218]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) - [c217]Eloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari:
Learning Multi-Modal Word Representation Grounded in Visual Context. AAAI 2018: 5626-5633 - [c216]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 - [c215]Hadrien Titeux, Benjamin Piwowarski, Patrick Gallinari:
Représentations Gaussiennes pour le Filtrage Collaboratif. CORIA 2018 - [c214]Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari:
Regularize and explicit collaborative filtering with textual attention. ESANN 2018 - [c213]Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari:
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge. ICLR (Poster) 2018 - [c212]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 - [c211]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) - [c210]Eloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
LIP6@CLEF2017: Multi-Modal Spatial Role Labeling using Word Embeddings. CLEF (Working Notes) 2017 - [c209]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Apprentissage de représentation pour la détection de source dans les réseaux sociaux. CORIA 2017: 235-250 - [c208]Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari:
Passé, présent, futurs : induction de carrières professionnelles à partir de CV. CORIA 2017: 281-296 - [c207]Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari:
Anomaly detection and characterization in smart card logs using NMF and Tweets. ESANN 2017 - [c206]Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari:
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. ICDM 2017: 705-714 - [c205]Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari:
Variational Thompson Sampling for Relational Recurrent Bandits. ECML/PKDD (2) 2017: 405-421 - [c204]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) - [c203]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Bandit contextuel pour la capture de données temps réel sur les médias sociaux. CORIA-CIFED 2016: 57-72 - [c202]Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari:
Recommandation et analyse de sentiments dans un espace latent textuel. CORIA-CIFED 2016: 73-88 - [c201]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 - [c200]Zeljko Kraljevic, Nicolas Baskiotis, Benjamin Piwowarski, Patrick Gallinari:
Représentation temporelle des mots : application au clustering de micro-blogs. CORIA-CIFED 2016: 531-544 - [c199]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach. ICWSM 2016: 131-140 - [c198]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 - [c197]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Learning Distributed Representations of Users for Source Detection in Online Social Networks. ECML/PKDD (2) 2016: 265-281 - [c196]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Linear Bandits in Unknown Environments. ECML/PKDD (2) 2016: 282-298 - [c195]Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari:
Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings. ECML/PKDD (2) 2016: 606-622 - [c194]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) - [c193]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 - [c192]Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari:
Leveraging Rating Behavior to Predict Negative Social Ties. ASONAM 2015: 623-628 - [c191]Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari:
Graph Based Method Approach to the ImageCLEF2015 Task1 - Image Annotation. CLEF (Working Notes) 2015 - [c190]Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier:
Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux. CORIA 2015: 7-22 - [c189]Mickaël Poussevin, Vincent Guigue, Patrick Gallinari:
Extraction d'un vocabulaire de surprise par mélange de filtrage collaboratif et d'analyse de sentiments. CORIA 2015: 123-138 - [c188]Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari:
Polarité des jugements et des interactions pour le filtrage collaboratif et la prédiction de liens sociaux. CORIA 2015: 139-154 - [c187]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Policies for Contextual Bandit Problems with Count Payoffs. ICTAI 2015: 542-549 - [c186]Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier:
WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media. ICWSM 2015: 130-139 - [c185]Mickaël Poussevin, Vincent Guigue, Patrick Gallinari:
Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. CBRecSys@RecSys 2015: 34-41 - [c184]Élie Guàrdia-Sebaoun, Vincent Guigue, Patrick Gallinari:
Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems. RecSys 2015: 281-284 - [i10]Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis, Thierry Artières, George Paliouras, Éric Gaussier, Ion Androutsopoulos, Massih-Reza Amini, Patrick Gallinari:
LSHTC: A Benchmark for Large-Scale Text Classification. CoRR abs/1503.08581 (2015) - [i9]Rossella Cancelliere, R. Deluca, Mario Gai, Patrick Gallinari, Luca Rubini:
An analysis of numerical issues in neural training by pseudoinversion. CoRR abs/1508.06092 (2015) - [i8]Rossella Cancelliere, Mario Gai, Patrick Gallinari, Luca Rubini:
OCReP: An Optimally Conditioned Regularization for Pseudoinversion Based Neural Training. CoRR abs/1508.06095 (2015) - 2014
- [c183]Luca Rubini, Rossella Cancelliere, Patrick Gallinari, Andrea Grosso, Antonino Raiti:
Computational Experience with Pseudoinversion-Based Training of Neural Networks Using Random Projection Matrices. AIMSA 2014: 236-245 - [c182]Maria Laura Maag, Ludovic Denoyer, Patrick Gallinari:
Graph Anonymization Using Machine Learning. AINA 2014: 1111-1118 - [c181]Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari:
Filtrage collaboratif et intégration de la polarité des jugements. CORIA-CIFED 2014: 11-26 - [c180]Mickaël Poussevin, Élie Guàrdia-Sebaoun, Vincent Guigue, Patrick Gallinari:
Recommandation par combinaison de filtrage collaboratif et d'analyse de sentiments. CORIA-CIFED 2014: 27-42 - [c179]Simon Bourigault, Cédric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari:
Apprentissage de représentation pour la diffusion d'Information dans les réseaux sociaux. CORIA-CIFED 2014: 155-170 - [c178]Mickaël Poussevin, Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari:
Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization. MSM/MUSE/SenseML 2014: 147-164 - [c177]Debora Nozza, Daniele Maccagnola, Vincent Guigue, Enza Messina, Patrick Gallinari:
A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks. SEFM Workshops 2014: 201-213 - [c176]Yann Jacob, Ludovic Denoyer, Patrick Gallinari:
Learning latent representations of nodes for classifying in heterogeneous social networks. WSDM 2014: 373-382 - [c175]Simon Bourigault, Cédric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari:
Learning social network embeddings for predicting information diffusion. WSDM 2014: 393-402 - [c174]Ioannis Partalas, Massih-Reza Amini, Ion Androutsopoulos, Thierry Artières, Patrick Gallinari, Éric Gaussier, Georgios Paliouras:
Web-scale classification: web classification in the big data era. WSDM 2014: 687-688 - [c173]Gabriella Contardo, Ludovic Denoyer, Thierry Artières, Patrick Gallinari:
Learning States Representations in POMDP. ICLR (Workshop Poster) 2014 - [c172]Gabriel Dulac-Arnold, Ludovic Denoyer, Nicolas Thome, Matthieu Cord, Patrick Gallinari:
Sequentially Generated Instance-Dependent Image Representations for Classification. ICLR 2014 - [c171]Cédric Lagnier, Simon Bourigault, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari:
Learning Information Spread in Content Networks. ICLR (Workshop Poster) 2014 - [i7]Ludovic Denoyer, Patrick Gallinari:
Deep Sequential Neural Network. CoRR abs/1410.0510 (2014) - [i6]Mickaël Poussevin, Vincent Guigue, Patrick Gallinari:
Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. CoRR abs/1412.5448 (2014) - 2013
- [j41]Stefania Rubrichi, Silvana Quaglini, Alex Spengler, Paola Russo, Patrick Gallinari:
A system for the extraction and representation of summary of product characteristics content. Artif. Intell. Medicine 57(2): 145-154 (2013) - [j40]Clément Calauzènes, Nicolas Usunier, Patrick Gallinari:
Calibration and regret bounds for order-preserving surrogate losses in learning to rank. Mach. Learn. 93(2-3): 227-260 (2013) - [j39]Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari, Zhanyu Ma, Jun Guo:
A Cross-Domain Recommendation Model for Cyber-Physical Systems. IEEE Trans. Emerg. Top. Comput. 1(2): 384-393 (2013) - [c170]Ricardo Lage, Ludovic Denoyer, Patrick Gallinari, Peter Dolog:
Choosing which message to publish on social networks: a contextual bandit approach. ASONAM 2013: 620-627 - [c169]Yann Jacob, Ludovic Denoyer, Patrick Gallinari:
Classification dans les graphes hétérogènes basée sur une représentation latente des noeuds. CORIA 2013: 85-100 - [c168]Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari:
Classification de Sentiments Multi-Domaines et Passage à l'Echelle. CORIA 2013: 117-124 - [c167]Cédric Lagnier, Ludovic Denoyer, Éric Gaussier, Patrick Gallinari:
Predicting Information Diffusion in Social Networks Using Content and User's Profiles. ECIR 2013: 74-85 - [c166]Sheng Gao, Ludovic Denoyer, Patrick Gallinari, Jun Guo:
Latent Factor BlockModel for Modelling Relational Data. ECIR 2013: 447-458 - [c165]Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari:
Multiview semi-supervised ranking for automatic image annotation. ACM Multimedia 2013: 513-516 - [c164]Moustapha Cissé, Nicolas Usunier, Thierry Artières, Patrick Gallinari:
Robust Bloom Filters for Large MultiLabel Classification Tasks. NIPS 2013: 1851-1859 - [c163]Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari, Jun Guo:
Cross-Domain Recommendation via Cluster-Level Latent Factor Model. ECML/PKDD (2) 2013: 161-176 - [c162]Élie Guàrdia-Sebaoun, Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari:
Cross-media sentiment classification and application to box-office forecasting. OAIR 2013: 201-208 - 2012
- [j38]Yann Jacob, Ludovic Denoyer, Patrick Gallinari:
Apprentissage automatique de la propagation des étiquettes dans les réseaux sociaux multirelationnels. Document Numérique 15(1): 79-99 (2012) - [j37]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Prédiction de liens temporels en intégrant les informations de contenu et de structure. Ingénierie des Systèmes d Inf. 17(6): 75-90 (2012) - [j36]Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
Sequential approaches for learning datum-wise sparse representations. Mach. Learn. 89(1-2): 87-122 (2012) - [j35]David Buffoni, Sabrina Tollari, Patrick Gallinari:
A Learning to Rank framework applied to text-image retrieval. Multim. Tools Appl. 60(1): 161-180 (2012) - [j34]Stéphane Peters, Yann Jacob, Ludovic Denoyer, Patrick Gallinari:
Iterative Multi-label Multi-relational Classification Algorithm for complex social networks. Soc. Netw. Anal. Min. 2(1): 17-29 (2012) - [c161]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:
BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text 2012 - [c160]Gabriel Dulac-Arnold, Ludovic Denoyer, Patrick Gallinari:
Lecture Séquentielle de Documents pour la Classification. CORIA 2012: 245-259 - [c159]Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari:
Représentations et régularisations pour la classification de sentiments. CORIA 2012: 285-300 - [c158]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Probabilistic Latent Tensor Factorization model for link pattern prediction. IC-NIDC 2012: 549-553 - [c157]Rossella Cancelliere, Mario Gai, Thierry Artières, Patrick Gallinari:
Matrix Pseudoinversion for Image Neural Processing. ICONIP (5) 2012: 116-125 - [c156]Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari:
Coping with the Document Frequency Bias in Sentiment Classification. ICWSM 2012 - [c155]Clément Calauzènes, Nicolas Usunier, Patrick Gallinari:
"On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking". NIPS 2012: 197-205 - [c154]Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization. ECML/PKDD (2) 2012: 180-194 - [c153]Moustapha Cissé, Thierry Artières, Patrick Gallinari:
Learning Compact Class Codes for Fast Inference in Large Multi Class Classification. ECML/PKDD (1) 2012: 506-520 - [c152]Bruno Pradel, Nicolas Usunier, Patrick Gallinari:
Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics. RecSys 2012: 147-154 - [c151]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Link prediction via latent factor BlockModel. WWW (Companion Volume) 2012: 507-508 - [c150]Anis Najar, Ludovic Denoyer, Patrick Gallinari:
Predicting information diffusion on social networks with partial knowledge. WWW (Companion Volume) 2012: 1197-1204 - [p3]Massih-Reza Amini, David Buffoni, Patrick Gallinari, Tuong-Vinh Truong, Nicolas Usunier:
Learnable Ranking Models for Automatic Text Summarization and Information Retrieval. Textual Information Access: Statistical Models 2012: 33-58 - [p2]Francis Maes, Ludovic Denoyer, Patrick Gallinari:
Corpus-Based Structure Mapping of XML Document Corpora: A Reinforcement Learning Based Model. Modeling, Learning, and Processing of Text Technological Data Structures 2012: 249-266 - [i5]Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
Fast Reinforcement Learning with Large Action Sets using Error-Correcting Output Codes for MDP Factorization. CoRR abs/1203.0203 (2012) - [i4]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Modeling Relational Data via Latent Factor Blockmodel. CoRR abs/1204.2581 (2012) - [i3]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks. CoRR abs/1204.2588 (2012) - 2011
- [c149]Stefania Rubrichi, Silvana Quaglini, Alex Spengler, Patrick Gallinari:
Extracting Information from Summary of Product Characteristics for Improving Drugs Prescription Safety. AIME 2011: 327-337 - [c148]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Link Pattern Prediction with tensor decomposition in multi-relational networks. CIDM 2011: 333-340 - [c147]Sheng Gao, Ludovic Denoyer, Patrick Gallinari:
Temporal link prediction by integrating content and structure information. CIKM 2011: 1169-1174 - [c146]Yann Jacob, Ludovic Denoyer, Patrick Gallinari:
Classification and annotation in social corpora using multiple relations. CIKM 2011: 1215-1220 - [c145]Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari:
Réseau de neurones profond et SVM pour la classification des sentiments. CORIA 2011: 121-133 - [c144]Yann Jacob, Ludovic Denoyer, Patrick Gallinari:
Apprentissage des schémas de propagation dans les multi-graphes. CORIA 2011: 159-174 - [c143]Gabriel Dulac-Arnold, Ludovic Denoyer, Patrick Gallinari:
Text Classification: A Sequential Reading Approach. ECIR 2011: 411-423 - [c142]David Buffoni, Sabrina Tollari, Patrick Gallinari:
The Importance of the Depth for Text-Image Selection Strategy in Learning-To-Rank. ECIR 2011: 743-746 - [c141]David Buffoni, Clément Calauzènes, Patrick Gallinari, Nicolas Usunier:
Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision. ICML 2011: 825-832 - [c140]Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
Datum-Wise Classification: A Sequential Approach to Sparsity. ECML/PKDD (1) 2011: 375-390 - [i2]Gabriel Dulac-Arnold, Ludovic Denoyer, Patrick Gallinari:
Text Classification: A Sequential Reading Approach. CoRR abs/1107.1322 (2011) - [i1]Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
Datum-Wise Classification: A Sequential Approach to Sparsity. CoRR abs/1108.5668 (2011) - 2010
- [j33]Mohand Boughanem, Patrick Gallinari:
Éditorial. Document Numérique 13(1): 7-8 (2010) - [j32]Young-Min Kim, Jean-François Pessiot, Massih-Reza Amini, Patrick Gallinari:
Apprentissage d'un espace de concepts de mots pour une nouvelle représentation des données textuelles. Document Numérique 13(1): 63-82 (2010) - [j31]Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, Patrick Gallinari:
Exploitation du contenu visuel pour améliorer la recherche textuelle d'images en ligne. Document Numérique 13(1): 187-209 (2010) - [j30]Jean-François Pessiot, Young-Min Kim, Massih-Reza Amini, Patrick Gallinari:
Improving document clustering in a learned concept space. Inf. Process. Manag. 46(2): 180-192 (2010) - [j29]Antoine Bordes, Léon Bottou, Patrick Gallinari, Jonathan D. Chang, S. Alex Smith:
Erratum: SGDQN is Less Careful than Expected. J. Mach. Learn. Res. 11: 2229-2240 (2010) - [j28]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:
Report on INEX 2009. SIGIR Forum 44(1): 38-57 (2010) - [c139]Stéphane Peters, Ludovic Denoyer, Patrick Gallinari:
Iterative Annotation of Multi-relational Social Networks. ASONAM 2010: 96-103 - [c138]Ali Fakeri-Tabrizi, Sabrina Tollari, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
UPMC/LIP6 at ImageCLEFannotation 2010. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c137]David Buffoni, Nicolas Usunier, Patrick Gallinari:
Apprentissage de fonctions d'ordonnancement par classification de paires ordonnées et pondérées (OWPC). CORIA 2010: 67-82 - [c136]Ludovic Denoyer, Patrick Gallinari:
Modèles d'Ordonnancement pour l'Annotation Automatique d'Images dans les Réseaux Sociaux. CORIA 2010: 115-129 - [c135]Alex Spengler, Patrick Gallinari:
Document structure meets page layout: loopy random fields for web news content extraction. ACM Symposium on Document Engineering 2010: 151-160 - [c134]Ludovic Denoyer, Patrick Gallinari:
A Ranking Based Model for Automatic Image Annotation in a Social Network. ICWSM 2010 - [c133]David Buffoni, Nicolas Usunier, Patrick Gallinari:
LIP6 at INEX'10: OWPC for Ad Hoc Track. INEX 2010: 54-62 - [c132]Alex Spengler, Antoine Bordes, Patrick Gallinari:
A comparison of discriminative classifiers for web news content extraction. RIAO 2010: 172-175 - [c131]Young-Min Kim, Massih-Reza Amini, Cyril Goutte, Patrick Gallinari:
Multi-view clustering of multilingual documents. SIGIR 2010: 821-822 - [c130]Stefania Rubrichi, Alex Spengler, Patrick Gallinari, Silvana Quaglini:
Preventing adverse drug events by extracting information from drug fact sheets. Semantic Mining in Biomedicine 2010
2000 – 2009
- 2009
- [j27]Antoine Bordes, Léon Bottou, Patrick Gallinari:
SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent. J. Mach. Learn. Res. 10: 1737-1754 (2009) - [j26]Francis Maes, Ludovic Denoyer, Patrick Gallinari:
Structured prediction with reinforcement learning. Mach. Learn. 77(2-3): 271-301 (2009) - [j25]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:
Report on INEX 2008. SIGIR Forum 43(1): 17-36 (2009) - [c129]Alex Spengler, Patrick Gallinari:
Learning to Extract Content from News Webpages. AINA Workshops 2009: 709-714 - [c128]Ali Fakeri-Tabrizi, Sabrina Tollari, Ludovic Denoyer, Patrick Gallinari:
UPMC/LIP6 at ImageCLEFannotation2009: Large Scale Visual Concept Detection and Annotation. CLEF (Working Notes) 2009 - [c127]Ali Fakeri-Tabrizi, Sabrina Tollari, Nicolas Usunier, Patrick Gallinari:
Improving Image Annotation in Imbalanced Classification Problems with Ranking SVM. CLEF (2) 2009: 291-294 - [c126]Hervé Glotin, Ali Fakeri-Tabrizi, Philippe Mulhem, Marin Ferecatu, Z. Zhao, Sabrina Tollari, Georges Quénot, Hichem Sahbi, Emilie Dumont, Patrick Gallinari:
Comparison of Various AVEIR Visual Concept Detectors with an Index of Carefulness. CLEF (Working Notes) 2009 - [c125]Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, Patrick Gallinari:
Utilisation de concepts visuels et de la diversité visuelle pour améliorer la recherche d'images. CORIA 2009: 83-98 - [c124]Sabrina Tollari, Marcin Detyniecki, Christophe Marsala, Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari:
Exploiting Visual Concepts to Improve Text-Based Image Retrieval. ECIR 2009: 701-705 - [c123]Tuong-Vinh Truong, Massih-Reza Amini, Patrick Gallinari:
A self-training method for learning to rank with unlabeled data. ESANN 2009 - [c122]Anh Phuc Trinh, David Buffoni, Patrick Gallinari:
Probabilistic Multi-classifier by SVM from voting rule to voting features. EGC 2009: 433-434 - [c121]Nicolas Usunier, David Buffoni, Patrick Gallinari:
Ranking with ordered weighted pairwise classification. ICML 2009: 1057-1064 - [c120]David Buffoni, Nicolas Usunier, Patrick Gallinari:
LIP6 at INEX'09: OWPC for Ad Hoc Track. INEX 2009: 59-69 - [c119]Richi Nayak, Christopher M. De Vries, Sangeetha Kutty, Shlomo Geva, Ludovic Denoyer, Patrick Gallinari:
Overview of the INEX 2009 XML Mining Track: Clustering and Classification of XML Documents. INEX 2009: 366-378 - [c118]Francis Maes, Stéphane Peters, Ludovic Denoyer, Patrick Gallinari:
Simulated Iterative Classification A New Learning Procedure for Graph Labeling. ECML/PKDD (2) 2009: 47-62 - 2008
- [j24]Ludovic Denoyer, Patrick Gallinari:
Report on the XML mining track at INEX 2007 categorization and clustering of XML documents. SIGIR Forum 42(1): 22-28 (2008) - [c117]Young-Min Kim, Jean-François Pessiot, Massih-Reza Amini, Patrick Gallinari:
An extension of PLSA for document clustering. CIKM 2008: 1345-1346 - [c116]Ali Fakeri-Tabrizi, Massih-Reza Amini, Sabrina Tollari, Patrick Gallinari:
UPMC/LIP6 at ImageCLEF's WikipediaMM: An Image-Annotation Model for an Image Search-Engine. CLEF (Working Notes) 2008 - [c115]Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari:
UPMC/LIP6 at ImageCLEFphoto 2008: on the Exploitation of Visual Concepts (VCDT). CLEF (Working Notes) 2008 - [c114]Sabrina Tollari, Marcin Detyniecki, Marin Ferecatu, Hervé Glotin, Philippe Mulhem, Massih-Reza Amini, Ali Fakeri-Tabrizi, Patrick Gallinari, Hichem Sahbi, Zhong-Qiu Zhao:
Consortium AVEIR at ImageCLEFphoto 2008: on the Fusion of Runs. CLEF (Working Notes) 2008 - [c113]Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, Patrick Gallinari:
Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval. CLEF 2008: 577-584 - [c112]Sabrina Tollari, Philippe Mulhem, Marin Ferecatu, Hervé Glotin, Marcin Detyniecki, Patrick Gallinari, Hichem Sahbi, Zhong-Qiu Zhao:
A Comparative Study of Diversity Methods for Hybrid Text and Image Retrieval Approaches. CLEF 2008: 585-592 - [c111]Huyen-Trang Vu, Patrick Gallinari:
Analyse de la robustesse des algorithmes de méta-recherche discriminante. CORIA 2008: 87-102 - [c110]Young-Min Kim, Jean-François Pessiot, Massih-Reza Amini, Patrick Gallinari:
Apprentissage d'un espace de concepts de mots pour une nouvelle représentation des données textuelles. CORIA 2008: 119-134 - [c109]Francis Maes, Ludovic Denoyer, Patrick Gallinari:
Apprentissage de conversion de documents semi-structurés à partir d'exemples. CORIA 2008: 181-196 - [c108]Jean-François Pessiot, Young-Min Kim, Massih-Reza Amini, Nicolas Usunier, Patrick Gallinari:
Une méthode contextuelle d'extension de requête avec des groupements de mots pour le résumé automatique. CORIA 2008: 289-304 - [c107]Marc-Ismaël Akodjènou-Jeannin, Patrick Gallinari:
Efficient Data Clustering by Local Density Approximation. ECAI 2008: 767-768 - [c106]Francis Maes, Ludovic Denoyer, Patrick Gallinari:
Applications of Reinforcement Learning to Structured Prediction. EWRL 2008: 205-219 - [c105]Marc-Ismaël Akodjènou-Jeannin, Kavé Salamatian, Patrick Gallinari:
Clustering en haute dimension par accumulation de clusterings locaux. EGC 2008: 253-264 - [c104]Guillaume Wisniewski, Patrick Gallinari:
Experimental Evaluation of the Value of Structure: How to Efficiently Exploit Interdependencies in Sequence Labeling. ICDM 2008: 1097-1102 - [c103]Ludovic Denoyer, Patrick Gallinari:
Overview of the INEX 2008 XML Mining Track. INEX 2008: 401-411 - [c102]Lilia Mesrob, Benoît Magnin, Olivier Colliot, Marie Sarazin, Valérie Hahn-Barma, Bruno Dubois, Patrick Gallinari, Stéphane Lehéricy, Serge Kinkingnéhun, Habib Benali:
Identification of Atrophy Patterns in Alzheimer's Disease Based on SVM Feature Selection and Anatomical Parcellation. MIAR 2008: 124-132 - [p1]Ludovic Denoyer, Patrick Gallinari:
Machine Learning for Semi-structured Multimedia Documents: Application to Pornographic Filtering and Thematic Categorization. Machine Learning Techniques for Multimedia 2008: 227-247 - 2007
- [j23]Thierry Artières, Sanparith Marukatat, Patrick Gallinari:
Online Handwritten Shape Recognition Using Segmental Hidden Markov Models. IEEE Trans. Pattern Anal. Mach. Intell. 29(2): 205-217 (2007) - [j22]Ludovic Denoyer, Patrick Gallinari:
Report on the XML mining track at INEX 2005 and INEX 2006: categorization and clustering of XML documents. SIGIR Forum 41(1): 79-90 (2007) - [j21]Benjamin Piwowarski, Patrick Gallinari, Georges Dupret:
Precision recall with user modeling (PRUM): Application to structured information retrieval. ACM Trans. Inf. Syst. 25(1): 1 (2007) - [c101]Jean-François Pessiot, Tuong-Vinh Truong, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Filtrage Collaboratif avec un Algorithme d'Ordonnancement. CORIA 2007: 165-180 - [c100]Francis Maes, Ludovic Denoyer, Patrick Gallinari:
Sequence Labeling with Reinforcement Learning and Ranking Algorithms. ECML 2007: 648-657 - [c99]Guillaume Wisniewski, Patrick Gallinari:
Ré-ordonnancement pour l'apprentissage de transformations de documents HTML. EGC 2007: 727-738 - [c98]Jean-François Pessiot, Tuong-Vinh Truong, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Learning to Rank for Collaborative Filtering. ICEIS (2) 2007: 145-151 - [c97]Antoine Bordes, Léon Bottou, Patrick Gallinari, Jason Weston:
Solving multiclass support vector machines with LaRank. ICML 2007: 89-96 - [c96]Guillaume Wisniewski, Francis Maes, Ludovic Denoyer, Patrick Gallinari:
Probabilistic Model for Structured Document Mapping. MLDM 2007: 854-867 - [c95]Guillaume Wisniewski, Patrick Gallinari:
Relaxation Labeling for Selecting and Exploiting Efficiently Non-local Dependencies in Sequence Labeling. PKDD 2007: 312-323 - [c94]Marc-Ismaël Akodjènou-Jeannin, Kavé Salamatian, Patrick Gallinari:
Flexible Grid-Based Clustering. PKDD 2007: 350-357 - [c93]Guillaume Wisniewski, Patrick Gallinari:
From Layout to Semantic: a Reranking Model for Mapping Web Documents to Mediated XML Representations. RIAO 2007: 433-448 - 2006
- [j20]Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Résumé automatique de texte avec un algorithme d'ordonnancement. Ingénierie des Systèmes d Inf. 11(2): 71-91 (2006) - [j19]Ludovic Denoyer, Patrick Gallinari:
The Wikipedia XML corpus. SIGIR Forum 40(1): 64-69 (2006) - [c92]Patrick Gallinari, Jean-Noël Vittaut:
Apprentissage d'ordonnancements en recherche d'information structurée. CORIA 2006: 17-28 - [c91]Huyen-Trang Vu, Patrick Gallinari:
Apprentissage statistique pour la constitution des corpus d'évaluation. CORIA 2006: 85-96 - [c90]Guillaume Wisniewski, Ludovic Denoyer, Francis Maes, Patrick Gallinari:
Modèle probabiliste pour l'extraction de structures dans les documents semistructurés - Application aux documents Web. CORIA 2006: 169-180 - [c89]Jean-François Pessiot, Tuong-Vinh Truong, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Factorisation en matrices non négatives pour le filtrage collaboratif. CORIA 2006: 315-326 - [c88]Jean-Noël Vittaut, Patrick Gallinari:
Machine Learning Ranking for Structured Information Retrieval. ECIR 2006: 338-349 - [c87]Massih-Reza Amini, Nicolas Usunier, François Laviolette, Alexandre Lacasse, Patrick Gallinari:
A Selective Sampling Strategy for Label Ranking. ECML 2006: 18-29 - [c86]Ludovic Denoyer, Patrick Gallinari:
The Wikipedia XML Corpus. INEX 2006: 12-19 - [c85]Jean-Noël Vittaut, Patrick Gallinari:
Supervised and Semi-supervised Machine Learning Ranking. INEX 2006: 213-222 - [c84]Ludovic Denoyer, Patrick Gallinari, Anne-Marie Vercoustre:
Report on the XML Mining Track at INEX 2005 and INEX 2006. INEX 2006: 432-443 - [c83]Francis Maes, Ludovic Denoyer, Patrick Gallinari:
XML Structure Mapping. INEX 2006: 540-551 - [c82]Huyen-Trang Vu, Patrick Gallinari:
A Machine Learning based Approach to Evaluating Retrieval Systems. HLT-NAACL 2006 - 2005
- [j18]Benjamin Piwowarski, Patrick Gallinari:
A Bayesian Framework for XML Information Retrieval: Searching and Learning with the INEX Collection. Inf. Retr. 8(4): 655-681 (2005) - [j17]Massih-Reza Amini, Patrick Gallinari:
Semi-supervised learning with an imperfect supervisor. Knowl. Inf. Syst. 8(4): 385-413 (2005) - [c81]Huyen-Trang Vu, Patrick Gallinari:
On Effectiveness Measures and Relevance Functions in Ranking INEX Systems. AIRS 2005: 312-327 - [c80]Massih-Reza Amini, Anastasios Tombros, Nicolas Usunier, Mounia Lalmas, Patrick Gallinari:
Learning to summarise XML documents using content and structure. CIKM 2005: 297-298 - [c79]Huyen-Trang Vu, Patrick Gallinari:
Using RankBoost to compare retrieval systems. CIKM 2005: 309-310 - [c78]Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Résumé automatique de texte avec un algorithme d'ordonnancement. CORIA 2005: 25-40 - [c77]Guillaume Wisniewski, Ludovic Denoyer, Patrick Gallinari:
Classification automatique de documents structurés. Application au corpus d'arbres étiquetés de type XML. CORIA 2005: 167-184 - [c76]Massih-Reza Amini, Nicolas Usunier, Patrick Gallinari:
Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms. ECIR 2005: 142-156 - [c75]Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Combinaison de fonctions de préférence par boosting pour la recherche de passages dans les systèmes de question/réponse. EGC 2005: 1-6 - [c74]Hermine Njike Fotzo, Thierry Artières, Patrick Gallinari, Julien Blanchard, Guillaume Letellier:
Apprentissage d'une hiérarchie de concepts pour la conception de modèles de domaine d'hypermédias. EGC (Ateliers) 2005: 125-130 - [c73]Trinh Minh Tri Do, Thierry Artières, Patrick Gallinari:
Sélection de modèles par des méthodes à noyaux pour la classification de données séquentielles. EGC 2005: 165-176 - [c72]Guillaume Wisniewski, Ludovic Denoyer, Patrick Gallinari:
Restructuration automatique de documents dans les corpus semi-structurés hétérogènes. EGC 2005: 227-238 - [c71]Julien Blanchard, Bertrand Petitjean, Thierry Artières, Patrick Gallinari:
Un système d'aide à la navigation dans des hypermédias. EGC 2005: 281-292 - [c70]Hermine Njike Fotzo, Thierry Artières, Patrick Gallinari, Julien Blanchard, Guillaume Letellier:
Automatic learning of domain model for personalized hypermedia applications. IJCAI 2005: 1624-1625 - [c69]Jean-Noël Vittaut, Patrick Gallinari:
Machine Learning Ranking and INEX'05. INEX 2005: 336-343 - [c68]Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Generalization error bounds for classifiers trained with interdependent data. NIPS 2005: 1369-1376 - 2004
- [j16]Ludovic Denoyer, Patrick Gallinari:
Un modèle de mixture de modèles génératifs pour les documents structurés multimédias. Application à la classification de documents XML et HTML. Document Numérique 8(3): 35-54 (2004) - [j15]Ludovic Denoyer, Patrick Gallinari:
Bayesian network model for semi-structured document classification. Inf. Process. Manag. 40(5): 807-827 (2004) - [c67]Hermine Njike Fotzo, Patrick Gallinari:
Apprentissage de Relations entre Concepts - Génération Automatique d'une Structuration Hiérarchique à partir de Corpus. CORIA 2004: 57-74 - [c66]Jean-François Pessiot, Marc Caillet, Massih-Reza Amini, Patrick Gallinari:
Apprentissage non-supervisé pour la segmentation automatique de textes. CORIA 2004: 213-228 - [c65]Henri Binsztok, Thierry Artières, Patrick Gallinari:
A Model-Based Approach to Sequence Clustering. ECAI 2004: 420-424 - [c64]Hermine Njike Fotzo, Patrick Gallinari:
Information Access via Topic Hierarchies and Thematic Annotations from Document Collections. ICEIS (2) 2004: 69-76 - [c63]Hermine Njike Fotzo, Patrick Gallinari:
Information Access via Topic Hierarchies and Thematic Annotations from Document Collections. ICEIS (Selected Papers) 2004: 143-150 - [c62]Sanparith Marukatat, Thierry Artières, Patrick Gallinari:
A generic approach for on-line handwriting recognition. IWFHR 2004: 401-406 - [c61]Jean-Noël Vittaut, Benjamin Piwowarski, Patrick Gallinari:
An Algebra for Structured Queries in Bayesian Networks. INEX 2004: 100-112 - [c60]Hermine Njike Fotzo, Patrick Gallinari:
Learning "Generalization/Specialization" Relations between Concepts - Application for Automatically Building Thematic Document Hierarchies. RIAO 2004: 143-155 - [c59]Marc Caillet, Jean-François Pessiot, Massih-Reza Amini, Patrick Gallinari:
Unsupervised Learning with Term Clustering for Thematic Segmentation of Texts. RIAO 2004: 648-657 - [c58]Benjamin Piwowarski, Patrick Gallinari:
An Algebra for Probabilistic XML Retrieval. TDM 2004: 65-72 - 2003
- [j14]Thierry Artières, Nadji Gauthier, Patrick Gallinari, Bernadette Dorizzi:
A Hidden Markov Models combination framework for handwriting recognition. Int. J. Document Anal. Recognit. 5(4): 233-243 (2003) - [j13]Abdel Bellili, Michel Gilloux, Patrick Gallinari:
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. 5(4): 244-252 (2003) - [c57]Ludovic Denoyer, Jean-Noël Vittaut, Patrick Gallinari, Sylvie Brunessaux, Stephan Brunessaux:
Structured multimedia document classification. ACM Symposium on Document Engineering 2003: 153-160 - [c56]Huyen-Trang Vu, Ludovic Denoyer, Patrick Gallinari:
Un modèle statistique pour la classification de documents structurés. EGC 2003: 233-246 - [c55]Hermine Njike Fotzo, Patrick Gallinari, Nathalie Lagunas:
Génération automatique d'une structure hiérarchique de concepts et de documents à partir de corpus. EGC 2003: 331-342 - [c54]Sylvain Bidel, Laurent Lemoine, Frédéric Piat, Thierry Artières, Patrick Gallinari:
Apprentissage de comportements utilisateurs de produits hypermédias. EGC 2003: 423-436 - [c53]Patrick Gallinari, Sylvain Bidel, Laurent Lemoine, Frédéric Piat, Thierry Artières:
Classification and Tracking of Hypermedia Navigation Patterns. ICANN 2003: 891-900 - [c52]Sanparith Marukatat, Rudy Sicard, Thierry Artières, Patrick Gallinari:
A Flexible Recognition Engine for Complex On-line Handwritten Character Recognition. ICDAR 2003: 1048-1052 - [c51]Massih-Reza Amini, Patrick Gallinari:
Semi-Supervised Learning with Explicit Misclassification Modeling. IJCAI 2003: 555-560 - [c50]Benjamin Piwowarski, Huyen-Trang Vu, Patrick Gallinari:
Bayesian Networks and INEX'03. INEX 2003: 33-37 - [c49]Benjamin Piwowarski, Patrick Gallinari:
Expected Ratio of Relevant Units: A Measure for Structured Information Retrieval. INEX 2003: 158-166 - [c48]Ludovic Denoyer, Patrick Gallinari:
A Belief Networks-Based Generative Model for Structured Documents. An Application to the XML Categorization. MLDM 2003: 328-342 - [c47]Benjamin Piwowarski, Patrick Gallinari:
A Machine Learning Model for Information Retrieval with Structured Documents. MLDM 2003: 425-438 - [c46]Ludovic Denoyer, Patrick Gallinari:
Using Belief Networks and Fisher Kernels for Structured Document Classification. PKDD 2003: 120-131 - [c45]Frédéric Kerloch, Thierry Paquet, Patrick Gallinari:
Using Structure For Information Extraction In Html Documents. PRIS 2003: 173-178 - 2002
- [c44]Massih-Reza Amini, Patrick Gallinari:
Semi Supervised Logistic Regression. ECAI 2002: 390-394 - [c43]Jean-Noël Vittaut, Massih-Reza Amini, Patrick Gallinari:
Learning Classification with Both Labeled and Unlabeled Data. ECML 2002: 468-479 - [c42]Sanparith Marukatat, Thierry Artières, Patrick Gallinari, Bernadette Dorizzi:
Rejection measures for handwriting sentence recognition. IWFHR 2002: 24-29 - [c41]Thierry Artières, Patrick Gallinari:
Stroke level HMMs for on-line handwriting recognition. IWFHR 2002: 227-232 - [c40]Haifeng Li, Thierry Artières, Patrick Gallinari:
Data Driven Design of an ANN/HMM System for On-line Unconstrained Handwritten Character Recognition. ICMI 2002: 149-154 - [c39]Haifeng Li, Thierry Artières, Patrick Gallinari:
State Sharing in a Hybrid Neuro-Markovian On-Line Handwriting Recognition System through a Simple Hierarchical Clustering Algorithm. ICMI 2002: 203-210 - [c38]Benjamin Piwowarski, Georges-Etienne Faure, Patrick Gallinari:
Bayesian Networks and INEX. INEX Workshop 2002: 149-154 - [c37]Massih-Reza Amini, Patrick Gallinari:
The use of unlabeled data to improve supervised learning for text summarization. SIGIR 2002: 105-112 - 2001
- [j12]Sonia Garcia-Salicetti, Bernadette Dorizzi, Patrick Gallinari, Zsolt Wimmer:
Maximum mutual information training for an online neural predictive handwritten word recognition system. Int. J. Document Anal. Recognit. 4(1): 56-68 (2001) - [j11]Philippe Leray, Patrick Gallinari:
De l'utilisation d'OBD pour la sélection de variables dans les perceptrons multicouches. Rev. d'Intelligence Artif. 15(3-4): 373-391 (2001) - [c36]Massih-Reza Amini, Patrick Gallinari:
Learning for Text Summarization Using Labeled and Unlabeled Sentences. ICANN 2001: 1177-1184 - [c35]Abdel Bellili, Michel Gilloux, Patrick Gallinari:
An Hybrid MLP-SVM Handwritten Digit Recognizer. ICDAR 2001: 28-33 - [c34]Nadji Gauthier, Thierry Artières, Patrick Gallinari, Bernadette Dorizzi:
Strategies for Combining On-line and Off-line Information in an On-line Handwriting Recognition System. ICDAR 2001: 412-416 - [c33]Sanparith Marukatat, Thierry Artières, Patrick Gallinari, Bernadette Dorizzi:
Sentence Recognition through Hybrid Neuro-Markovian Modeling. ICDAR 2001: 731-737 - [c32]Massih-Reza Amini, Patrick Gallinari:
Automatic Text Summarization Using Unsupervised and Semi-supervised Learning. PKDD 2001: 16-28 - [c31]Thomas Draier, Patrick Gallinari:
Characterizing Sequences of User Actions for Access Logs Analysis. User Modeling 2001: 228-230 - 2000
- [c30]Thierry Artières, J.-M. Marchand, Patrick Gallinari, Bernadette Dorizzi:
Multi-Modal Segmental Models for On-Line Handwriting Recognition. ICPR 2000: 2247-2250 - [c29]Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinari:
Learning for Sequence Extraction Tasks. RIAO 2000: 476-490
1990 – 1999
- 1999
- [j10]Yann Guermeur, Christophe Geourjon, Patrick Gallinari, Gilbert Deléage:
Improved performance in protein secondary structure prediction by inhomogeneous score combination. Bioinform. 15(5): 413-421 (1999) - [j9]Patrick Gallinari, Tautvydas Cibas:
Practical complexity control in multilayer perceptrons. Signal Process. 74(1): 29-46 (1999) - [c28]Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinari:
Sequence Models for Automatic Highlighting and Surface Information Extraction. BCS-IRSG Annual Colloquium on IR Research 1999 - [c27]Zsolt Wimmer, Bernadette Dorizzi, Patrick Gallinari:
Dictionary Preselection in a Neuro-Markovian Word Recognition System. ICDAR 1999: 539-542 - 1998
- [j8]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:
Twelve Numerical, Symbolic and Hybrid Supervised Classification Methods. Int. J. Pattern Recognit. Artif. Intell. 12(4): 517-571 (1998) - [j7]Hugo Zaragoza, Patrick Gallinari, R. Curtelin, F. Leglaye:
Multiple multivariate regression and global sequence optimization: : An application to large-scale models of radiation intensity. Signal Process. 64(3): 371-382 (1998) - [c26]Hugo Zaragoza, Patrick Gallinari:
Coupled Hierarchical IR and Stochastic Models for Surface Information Extraction. BCS-IRSG Annual Colloquium on IR Research 1998 - 1997
- [j6]Abdelmoumène Toudeft, Patrick Gallinari:
Neural and adaptive controllers for a non-minimum phase varying time-delay system. Artif. Intell. Eng. 11(4): 431-439 (1997) - [c25]Zsolt Wimmer, Sonia Garcia-Salicetti, Bernadette Dorizzi, Patrick Gallinari:
Off-Line Cursive Word Recognition with a Hybrid Neural-HMM System. BSDIA 1997: 249-260 - [c24]Yann Guermeur, Florence d'Alché-Buc, Patrick Gallinari:
Optimal Linear Regression on Classifier Outputs. ICANN 1997: 481-486 - [c23]Hugo Zaragoza, Patrick Gallinari:
Multiple Multivariate Regression and Global Optimization in a Large Scale Thermodynamical Application. ICANN 1997: 861-866 - [c22]Abdelmoumène Toudeft, Patrick Gallinari:
Distal Learning for Inverse Modeling of Dynamical Systems. ICANNGA 1997: 592-596 - [c21]Patrick Gallinari:
Predictive Models for Sequence Modelling, Application to Speech and Character Recognition. Summer School on Neural Networks 1997: 418-434 - 1996
- [j5]Tautvydas Cibas, Françoise Fogelman-Soulié, Patrick Gallinari, Sarunas Raudys:
Variable selection with neural networks. Neurocomputing 12(2-3): 223-248 (1996) - [c20]Philippe Leray, Patrick Gallinari, Elisabeth Didelet:
Diagnosis Tools for Telecommunication Network Traffic Management. ICANN 1996: 209-214 - [c19]Yann Guermeur, Patrick Gallinari:
Combining Statistical Models for Protein Secondary Structure Prediction. ICANN 1996: 599-604 - [c18]Sonia Garcia-Salicetti, Patrick Gallinari, Bernadette Dorizzi, Zsolt Wimmer, Stéphane Gentric:
From characters to words: dynamical segmentation and predictive neural networks. ICASSP 1996: 3442-3445 - [c17]Sonia Garcia-Salicetti, Bernadette Dorizzi, Patrick Gallinari, Zsolt Wimmer:
Adaptive discrimination in an HMM-based neural predictive system for on-line word recognition. ICPR 1996: 515-519 - 1995
- [j4]Younès Bennani, Patrick Gallinari:
Neural networks for discrimination and modelization of speakers. Speech Commun. 17(1-2): 159-175 (1995) - [c16]Abdelhamid Mellouk, Patrick Gallinari:
Global discrimination for neural predictive systems based on N-best algorithm. ICASSP 1995: 465-468 - [c15]Sonia Garcia-Salicetti, Patrick Gallinari, Bernadette Dorizzi, Abdelhamid Mellouk, D. Fanchon:
A neural predictive approach for on-line cursive script recognition. ICASSP 1995: 3463-3466 - [c14]Sonia Garcia-Salicetti, Bernadette Dorizzi, Patrick Gallinari, Abdelhamid Mellouk, D. Fanchon:
A hidden Markov model extension of a neural predictive system for on-line character recognition. ICDAR 1995: 50-53 - [c13]Thierry Artières, Patrick Gallinari:
Multi-state predictive neural networks for text-independent speaker recognition. EUROSPEECH 1995: 633-636 - [c12]Adelaide Stevenur, Patrick Gallinari:
Integrating heuristic preferences into a neural understanding system. EUROSPEECH 1995: 1215-1218 - 1994
- [c11]Abdelhamid Mellouk, Patrick Gallinari:
Discriminative training for improved neural prediction systems. ICASSP (1) 1994: 233-236 - 1993
- [c10]Abdelhamid Mellouk, Patrick Gallinari:
A discriminative neural prediction system for speech recognition. ICASSP (1) 1993: 533-536 - [c9]Abdelhamid Mellouk, Patrick Gallinari, F. Rauscher:
Prediction and discrimination in neural networks for continuous speech recognition. EUROSPEECH 1993: 1603-1606 - [c8]Thierry Artières, Patrick Gallinari:
Neural models for extracting speaker characteristics in speech modelization systems. EUROSPEECH 1993: 2263-2266 - 1992
- [c7]Xavier Driancourt, Patrick Gallinari:
A speech recognizer optimally combining learning vector quantization, dynamic programming and multi-layer perceptron. ICASSP 1992: 609-612 - 1991
- [j3]Patrick Gallinari, Sylvie Thiria, Fouad Badran, Françoise Fogelman-Soulié:
On the relations between discriminant analysis and multilayer perceptrons. Neural Networks 4(3): 349-360 (1991) - [c6]Younès Bennani, Nasser Chaourar, Patrick Gallinari, Abdelhamid Mellouk:
Validation of neural net architectures on speech recognition tasks. ICASSP 1991: 97-100 - [c5]Younès Bennani, Patrick Gallinari:
On the use of TDNN-extracted features information in talker identification. ICASSP 1991: 385-388 - 1990
- [j2]Khalid Choukri, S. Soudoplatoff, A. Wallyn, Frédéric Bimbot, H. Valbret, Patrick Gallinari, Younès Bennani, A. Varga, Manfred Immendörfer, T. Michaux:
Speech processing and recognition using integrated neurocomputing techniques (Esprit Basic Research Action 3228: SPRINT). Neurocomputing 2(2): 71-78 (1990) - [c4]Younès Bennani, Françoise Fogelman-Soulié, Patrick Gallinari:
A connectionist approach for automatic speaker identification. ICASSP 1990: 265-268 - [c3]Michel de Bollivier, Patrick Gallinari, Sylvie Thiria:
Cooperation of neural nets for robust classification. IJCNN 1990: 113-120 - [c2]Léon Bottou, Patrick Gallinari:
A Framework for the Cooperation of Learning Algorithms. NIPS 1990: 781-788
1980 – 1989
- 1988
- [j1]Patrick Gallinari, Sylvie Thiria, Françoise Fogelman-Soulié:
Comparing neural networks and data analysis. Neural Networks 1(Supplement-1): 24-25 (1988) - [c1]Patrick Gallinari, Sylvie Thiria, Françoise Fogelman:
Multilayer perceptrons and data analysis. ICNN 1988: 391-399
Coauthor Index
[j62] [j55] [i14] [c206] [j43] [c190] [c186] [c182] [c179] [c176] [c175] [c173] [c172] [c171] [i7] [c170] [c169] [c167] [c166] [j38] [j37] [j36] [j34] [c160] [c158] [c154] [c151] [c150] [p2] [i5] [i4] [i3] [c148] [c147] [c146] [c144] [c143] [c140] [i2] [i1] [j28] [c139] [c136] [c134] [j26] [j25] [c128] [c119] [c118] [j24] [c109] [c106] [c103] [p1] [j22] [c100] [c96] [j19] [c90] [c86] [c84] [c83] [c77] [c72] [j16] [j15] [c57] [c56] [c48] [c46]
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