Ludovic Denoyer

Peter Dolog, Ludovic Denoyer, Patrick Gallinari, 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).

Restructuration automatique de documents dans les corpus semi-structurés hétérogènes

Ludovic Denoyer, Patrick Gallinari, Guillaume Wisniewski, 2005, EGC.

Apprentissage de conversion de documents semi-structurés à partir d'exemples

Ludovic Denoyer, Patrick Gallinari, Francis Maes, 2008, CORIA.

The Wikipedia XML Corpus

Ludovic Denoyer, Patrick Gallinari, 2006, INEX.

Budgeted Hierarchical Reinforcement Learning

Ludovic Denoyer, Aurélia Léon, Ludovic Denoyer, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media

Ludovic Denoyer, Sylvain Lamprier, Patrick Gallinari, 2015, ICWSM.

Un modèle de mixture de modèles génératifs pour les documents structurés multimédias. Application à la classification de documents XML et HTML

Ludovic Denoyer, Patrick Gallinari, 2004, Document Numérique.

Report on INEX 2008

Andrew Trotman, Gabriella Kazai, Ludovic Denoyer, 2009, SIGF.

Representation Learning for cold-start recommendation pdf

Ludovic Denoyer, Thierry Artières, Gabriella Contardo, 2014, ICLR.

PROCEEDINGS OF THE GRAPH LABELLING WORKSHOP AND WEB SPAM CHALLENGE

Brian D. Davison, Ludovic Denoyer, Patrick Gallinari, 2007 .

Unsupervised Question Answering by Cloze Translation pdf

Ludovic Denoyer, Sebastian Riedel, Patrick Lewis, 2019, ACL.

Sequentially Generated Instance-Dependent Image Representations for Classification pdf

Matthieu Cord, Ludovic Denoyer, Nicolas Thome, 2014, ICLR.

Predicting information diffusion on social networks with partial knowledge

Ludovic Denoyer, Patrick Gallinari, Anis Najar, 2012, WWW.

Apprentissage de l'évolution langagière dans des communautés d'auteurs

Ludovic Denoyer, Sylvain Lamprier, Edouard Delasalles, 2018, CORIA.

Report on the XML mining track at INEX 2005 and INEX 2006: categorization and clustering of XML documents

Ludovic Denoyer, Patrick Gallinari, P. Gallinari, 2007, SIGF.

Temporal link prediction by integrating content and structure information

Ludovic Denoyer, Patrick Gallinari, Sheng Gao, 2011, CIKM '11.

Sequential Action Selection and Active Sensing for Budgeted Localization in Robot Navigation

Ludovic Denoyer, Mehdi Khamassi, Benoît Girard, 2018, Int. J. Semantic Comput..

Modèle probabiliste pour l'extraction de structures dans les documents semistructurés - Application aux documents Web

Ludovic Denoyer, Patrick Gallinari, Guillaume Wisniewski, 2006, CORIA.

Multi-View Data Generation Without View Supervision pdf

Ludovic Denoyer, Mickaël Chen, Thierry Artières, 2018, ICLR.

Report on the XML mining track at INEX 2007 categorization and clustering of XML documents

Ludovic Denoyer, Patrick Gallinari, 2008, SIGF.

Stochastic Adaptive Neural Architecture Search for Keyword Spotting

Ludovic Denoyer, Olivier Schwander, Tom Véniat, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Joint prediction of road-traffic and parking occupancy over a city with representation learning

Ludovic Denoyer, Bertrand Leroy, Nicolas Baskiotis, 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

Semi-Structured Document Classification

Ludovic Denoyer, Ludovic Denoyer, 2009, Encyclopedia of Data Warehousing and Mining.

Un modèle statistique pour la classification de documents structurés

Ludovic Denoyer, Patrick Gallinari, Huyen-Trang Vu, 2003, EGC.

Corpus-Based Structure Mapping of XML Document Corpora: A Reinforcement Learning Based Model

Ludovic Denoyer, Patrick Gallinari, Francis Maes, 2012, Modeling, Learning, and Processing of Text Technological Data Structures.

Web spam challenge 2008

Ludovic Denoyer, Kumar Chellapilla, Carlos Castillo, 2008, AIRWeb 2008.

Learning social network embeddings for predicting information diffusion

Ludovic Denoyer, Sylvain Lamprier, Patrick Gallinari, 2014, WSDM.

Probabilistic Model for Structured Document Mapping

Ludovic Denoyer, Patrick Gallinari, Guillaume Wisniewski, 2007, MLDM.

Structured multimedia document classification

Ludovic Denoyer, Patrick Gallinari, Jean-Noël Vittaut, 2003, DocEng '03.

A Belief Networks-Based Generative Model for Structured Documents. An Application to the XML Categorization

Ludovic Denoyer, Patrick Gallinari, P. Gallinari, 2003, MLDM.

Apprentissage et inférence statistique dans les bases de documents structurés : application aux corpus de documents textuels

Ludovic Denoyer, L. Denoyer, 2004 .

Unsupervised Object Segmentation by Redrawing

Ludovic Denoyer, Mickaël Chen, Thierry Artières, 2019, NeurIPS.

Web spam challenge track ii

Brian D. Davison, Ludovic Denoyer, Patrick Gallinari, 2007 .

Probabilistic Latent Tensor Factorization model for link pattern prediction

Ludovic Denoyer, Patrick Gallinari, Sheng Gao, 2012, 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content.

The XML Wikipedia Corpus

Ludovic Denoyer, Patrick Gallinari, 2006 .

Sequential Cost-Sensitive Feature Acquisition

Ludovic Denoyer, Thierry Artières, Gabriella Contardo, 2016, IDA.

Recurrent Neural Networks for Adaptive Feature Acquisition

Ludovic Denoyer, Thierry Artières, Gabriella Contardo, 2016, ICONIP.

Concept Matching for Low-Resource Classification pdf

Ludovic Denoyer, Fabio Petroni, Vassilis Plachouras, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

Learning Information Spread in Content Networks pdf

Ludovic Denoyer, Sylvain Lamprier, Patrick Gallinari, 2014, ICLR.

Efficient Continual Learning with Modular Networks and Task-Driven Priors pdf

Ludovic Denoyer, Marc'Aurelio Ranzato, Tom Veniat, 2020, ArXiv.

Sequential Action Selection for Budgeted Localization in Robots

Ludovic Denoyer, Mehdi Khamassi, Benoît Girard, 2017, 2017 First IEEE International Conference on Robotic Computing (IRC).

A Ranking Based Model for Automatic Image Annotation in a Social Network

Ludovic Denoyer, Patrick Gallinari, P. Gallinari, 2010, ICWSM.

Web Spam Challenge

Brian D. Davison, Patrick Gallinari, Ludovic Denoyer, 2007 .

Modèle probabiliste pour l'extraction de structures dans les documents web

Ludovic Denoyer, Guillaume Wisniewski, Francis Maes, 2007, Document Numérique.

Un modèle de mixture de modèles génératifs pour les documents structurés multimédias

Ludovic Denoyer, Patrick Gallinari, 2004 .

Using Belief Networks and Fisher Kernels for Structured Document Classification

Ludovic Denoyer, Patrick Gallinari, 2003, PKDD.

Classification automatique de documents structurés. Application au corpus d'arbres étiquetés de type XML

Ludovic Denoyer, Patrick Gallinari, Guillaume Wisniewski, 2005, CORIA.

Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization pdf

Ludovic Denoyer, Alessandro Lazaric, Nicolas Usunier, 2020, ArXiv.

Predicting Information Diffusion in Social Networks Using Content and User's Profiles

Ludovic Denoyer, Patrick Gallinari, Éric Gaussier, 2013, ECIR.

Reinforced Decision Trees pdf

Ludovic Denoyer, Aurélia Léon, Ludovic Denoyer, 2015, EWRL 2015.

Apprentissage des schémas de propagation dans les multi-graphes

Ludovic Denoyer, Patrick Gallinari, Yann Jacob, 2011, CORIA.

Dynamic Neural Language Models

Ludovic Denoyer, Sylvain Lamprier, Edouard Delasalles, 2019, ICONIP.

Overview of the INEX 2008 XML Mining Track

Ludovic Denoyer, Patrick Gallinari, 2008, INEX.

Soft Token Matching for Interpretable Low-Resource Classification

Ludovic Denoyer, Vassilis Plachouras, Federico Errica, 2019 .

Lecture Séquentielle de Documents pour la Classification

Ludovic Denoyer, Patrick Gallinari, Gabriel Dulac-Arnold, 2012, CORIA.

A Meta-Learning Approach to One-Step Active-Learning pdf

Ludovic Denoyer, Thierry Artières, Gabriella Contardo, 2017, AutoML@PKDD/ECML.

Multiple-Attribute Text Style Transfer pdf

Guillaume Lample, Sandeep Subramanian, Ludovic Denoyer, 2018, ArXiv.

Learning Time-Efficient Deep Architectures with Budgeted Super Networks pdf

Ludovic Denoyer, Tom Veniat, Ludovic Denoyer, 2017, ArXiv.

Modèle de compréhension du besoin en information pour la recherche d'information conversationnelle

Ludovic Denoyer, Laure Soulier, Wafa Aissa, 2019, CORIA.

Binary Stochastic Representations for Large Multi-class Classification pdf

Ludovic Denoyer, Nicolas Baskiotis, Thomas Gerald, 2017, ICONIP.

Apprentissage automatique de la propagation des étiquettes dans les réseaux sociaux multirelationnels

Ludovic Denoyer, Patrick Gallinari, Yann Jacob, 2012, Document Numérique.

Learning Dynamic Author Representations with Temporal Language Models

Ludovic Denoyer, Sylvain Lamprier, Edouard Delasalles, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Simulated Iterative Classification A New Learning Procedure for Graph Labeling

Ludovic Denoyer, Patrick Gallinari, Francis Maes, 2009, ECML/PKDD.

Applications of Reinforcement Learning to Structured Prediction

Ludovic Denoyer, Patrick Gallinari, Francis Maes, 2008, EWRL.

Graph Anonymization Using Machine Learning

Ludovic Denoyer, Patrick Gallinari, Maria Laura Maag, 2014, 2014 IEEE 28th International Conference on Advanced Information Networking and Applications.

Probabilistic Model for Structured Document Mapping Application to Automatic HTML to XML Conversion

Ludovic Denoyer, Patrick Gallinari, Guillaume Wisniewski, 2007 .

Xml mining challenge at inex 2005

Ludovic Denoyer, Patrick Gallinari, Anna-Marie Vercoustre, 2006 .

Prédiction de liens temporels en intégrant les informations de contenu et de structure

Ludovic Denoyer, Patrick Gallinari, Sheng Gao, 2012, Ingénierie des Systèmes d Inf..

UPMC/LIP6 at ImageCLEFannotation2009: Large Scale Visual Concept Detection and Annotation

Ludovic Denoyer, Patrick Gallinari, Sabrina Tollari, 2009, CLEF.

Classification and annotation in social corpora using multiple relations

Ludovic Denoyer, Patrick Gallinari, Yann Jacob, 2011, CIKM '11.

Overview of the INEX 2009 XML Mining Track: Clustering and Classification of XML Documents

Richi Nayak, Ludovic Denoyer, Shlomo Geva, 2009, INEX.

XML Structure Mapping

Ludovic Denoyer, Patrick Gallinari, Francis Maes, 2006, INEX.

Phrase-Based & Neural Unsupervised Machine Translation pdf

Guillaume Lample, Ludovic Denoyer, Marc'Aurelio Ranzato, 2018, EMNLP.

MADSPAM Consortium at the ECML/PKDD Discovery Challenge 2010

Ludovic Denoyer, Artem Sokolov, Tanguy Urvoy, 2010 .

EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction pdf

Ludovic Denoyer, Diane Bouchacourt, Ludovic Denoyer, 2019, ArXiv.

Datum-Wise Classification: A Sequential Approach to Sparsity pdf

Ludovic Denoyer, Patrick Gallinari, Gabriel Dulac-Arnold, 2011, ECML/PKDD.

Report on the xml mining classification track at inex 2009

Ludovic Denoyer, Patrick Gallinari, 2009 .

Iterative Annotation of Multi-relational Social Networks

Ludovic Denoyer, Patrick Gallinari, Stéphane Peters, 2010, 2010 International Conference on Advances in Social Networks Analysis and Mining.

Word Translation Without Parallel Data pdf

Guillaume Lample, Ludovic Denoyer, Marc'Aurelio Ranzato, 2017, ICLR.

Report on INEX 2009

Richi Nayak, Andrew Trotman, Gabriella Kazai, 2010, SIGF.

Deep Sequential Neural Network pdf

Ludovic Denoyer, Patrick Gallinari, 2014, NIPS 2014.

XML document mining challenge

Patrick Gallinari, Ludovic Denoyer, 2005 .

Learning latent representations of nodes for classifying in heterogeneous social networks

Ludovic Denoyer, Patrick Gallinari, Yann Jacob, 2014, WSDM.

Modèles d'Ordonnancement pour l'Annotation Automatique d'Images dans les Réseaux Sociaux

Ludovic Denoyer, Patrick Gallinari, 2010, CORIA.

Adversarial learning for modeling human motion

Ludovic Denoyer, Qi Wang, Thierry Artières, 2018, The Visual Computer.

Latent Factor BlockModel for Modelling Relational Data

Ludovic Denoyer, Jun Guo, Patrick Gallinari, 2013, ECIR.

Learning States Representations in POMDP pdf

Ludovic Denoyer, Patrick Gallinari, Thierry Artières, 2014, ICLR.

Spatio-temporal neural networks for space-time data modeling and relation discovery

Ludovic Denoyer, Patrick Gallinari, Edouard Delasalles, 2019, Knowledge and Information Systems.

Learning Time/Memory-Efficient Deep Architectures with Budgeted Super Networks

Ludovic Denoyer, Tom Veniat, Ludovic Denoyer, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux

Ludovic Denoyer, Sylvain Lamprier, Patrick Gallinari, 2015, CORIA.

Machine Learning for Semi-structured Multimedia Documents: Application to Pornographic Filtering and Thematic Categorization

Ludovic Denoyer, Patrick Gallinari, 2008, Machine Learning Techniques for Multimedia.

Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks

Ludovic Denoyer, Ludovic Dos Santos, Benjamin Piwowarski, 2018, ACM Trans. Knowl. Discov. Data.

Iterative Multi-label Multi-relational Classification Algorithm for complex social networks

Ludovic Denoyer, Patrick Gallinari, Yann Jacob, 2011, Social Network Analysis and Mining.

Classification dans les graphes hétérogènes basée sur une représentation latente des noeuds

Ludovic Denoyer, Patrick Gallinari, Yann Jacob, 2013, CORIA.

A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems pdf

Ludovic Denoyer, Laure Soulier, Wafa Aissa, 2018, SCAI@EMNLP.

Link prediction via latent factor BlockModel

Ludovic Denoyer, Patrick Gallinari, Sheng Gao, 2012, WWW.

Options Discovery with Budgeted Reinforcement Learning pdf

Ludovic Denoyer, Aurélia Léon, Ludovic Denoyer, 2016, ArXiv.

Link Pattern Prediction with tensor decomposition in multi-relational networks

Ludovic Denoyer, Patrick Gallinari, Sheng Gao, 2011, 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Time series prediction & generation from disentangled latent factors: new opportunities for smart cities

Ludovic Denoyer, Vincent Guigue, Raphael Puget, 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).

The Wikipedia XML corpus

Ludovic Denoyer, Patrick Gallinari, 2006, SIGF.

Stochatic Adaptive Neural Architecture Search

Ludovic Denoyer, Olivier Schwander, Tom Veniat, 2019 .

Modeling Relational Data via Latent Factor Blockmodel pdf

Ludovic Denoyer, Patrick Gallinari, Sheng Gao, 2012, ArXiv.

Bayesian network model for semi-structured document classification

Ludovic Denoyer, Patrick Gallinari, P. Gallinari, 2004, Inf. Process. Manag..

Transferring Style in Motion Capture Sequences with Adversarial Learning

Ludovic Denoyer, Qi Wang, Mickaël Chen, 2018, ESANN.

Car-Traffic Forecasting: A Representation Learning Approach

Ludovic Denoyer, Nicolas Baskiotis, Ali Ziat, 2015, MUD@ICML.

State of the Art of User Simulation approaches for conversational information retrieval

Ludovic Denoyer, Laure Soulier, Pierre Erbacher, 2022, 2201.03435.

Deep dynamic neural networks for temporal language modeling in author communities

Ludovic Denoyer, Sylvain Lamprier, Edouard Delasalles, 2021, Knowl. Inf. Syst..

Learning a subspace of policies for online adaptation in Reinforcement Learning pdf

Ludovic Denoyer, Laure Soulier, Jean-Baptiste Gaya, 2021, ArXiv.

SaLinA: Sequential Learning of Agents pdf

Ludovic Denoyer, Pierre-Alexandre Kamienny, Jean-Baptiste Gaya, 2021, ArXiv.

Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching pdf

Ludovic Denoyer, Alessandro Lazaric, Jean Tarbouriech, 2021, ICLR.

On Anytime Learning at Macroscale pdf

Ludovic Denoyer, Marc'Aurelio Ranzato, Myle Ott, 2021, ArXiv.

Tensor decomposition model for link prediction in multi-relational networks

Ludovic Denoyer, Patrick Gallinari, Sheng Gao, 2010, 2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content.