Ludovic Denoyer
Publications
Publications
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Hierarchical Subspaces of Policies for Continual Offline Reinforcement LearningMCDC Workshop at ICLR 2025, Apr 2025, Singapore, Singapore |
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Efficient Active Imitation Learning with Random Network DistillationICLR, Apr 2025, Singapore, Singapore |
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State of the Art of User Simulation approaches for conversational information retrievalCSR-Sim4IR 2021 Causality in Search and Recommendation and Simulation of Information Retrieval Evaluation 2021, Jul 2021, Online, Canada |
Time Series Prediction using Disentangled Latent FactorsESANN 2020 - 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2020, Bruges, Belgium |
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Unsupervised Object Segmentation by RedrawingAdvances in Neural Information Processing Systems 32 (NIPS 2019), Dec 2019, Vancouver, Canada. pp.12705-12716 |
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STOCHASTIC ADAPTIVE NEURAL ARCHITECTURE SEARCH FOR KEYWORD SPOTTINGICASSP 2019 - International Conference on Acoustics, Speech, and Signal Processing, May 2019, Brighton, United Kingdom |
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Large Memory Layers with Product KeysNeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada |
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Modèle de compréhension du besoin en information pour la RI conversationnelleCORIA 2019 - 16ème COnférence en Recherche d’Information et Applications, Mar 2019, Lyon, France |
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Learning Dynamic Author Representations with Temporal Language Models2019 IEEE International Conference on Data Mining (ICDM), Nov 2019, Beijing, China. pp.120-129, ⟨10.1109/ICDM.2019.00022⟩ |
Dynamic Neural Language ModelsICONIP 2019 - 26th International Conference on Neural Information Processing, Dec 2019, Sydney, Australia. pp.282-294, ⟨10.1007/978-3-030-36718-3_24⟩ |
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Transferring Style in Motion Capture Sequences with Adversarial LearningESANN, Apr 2018, Bruges, Belgium |
Apprentissage de l'évolution langagière dans des communautés d'auteurs15ème COnférence en Recherche d'Informations et Applications - CORIA 2018, May 2018, Rennes, France. ⟨10.24348/coria.2018.paper15⟩ |
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Multi-View Data Generation Without View Supervision6th International Conference on Learning Representations (ICLR 2018), Apr 2018, Vancouver, Canada |
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A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational SystemsSCAI 2018 : 2nd edition of the workshop on Search-Oriented Conversational AI, Oct 2018, Bruxelles, Belgium. pp.33 - 39 |
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Apprentissage stochastique de représentation binaire pour la classification multi-classe dans un grand nombre de catégoriesConférence sur l’Apprentissage automatique 2018, Jun 2018, Rouen, France |
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Fader Networks: Manipulating Images by Sliding Attributes31st Conference on Neural Information Processing Systems (NIPS 2017), Dec 2017, Long Beach, CA, United States. pp.5969-5978 |
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A Meta-Learning Approach to One-Step Active-LearningInternational Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms, Sep 2017, Skopje, Macedonia. pp.28-40 |
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Multi-view Generative Adversarial NetworksECML PKDD 2017, Sep 2017, Skopje, Macedonia. pp.175-188, ⟨10.1007/978-3-319-71246-8_11⟩ |
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Sequential Action Selection for Budgeted Localization in RobotsIEEE Robotic Computing 2017, IEEE, Apr 2017, Taichung, Taiwan. pp.97 - 100, ⟨10.1109/IRC.2017.19⟩ |
Fader Networks: Generating Image Variations by Sliding Attribute Values31st Conference on Neural Information Processing Systems (NIPS 2017), Dec 2017, Long Beach, CA, United States. pp.5969-5978 |
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Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery2017 IEEE International Conference on Data Mining (ICDM), Nov 2017, La Nouvelle Orléans, LA, United States. pp.705-714, ⟨10.1109/ICDM.2017.80⟩ |
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Recurrent Neural Networks for Adaptive Feature Acquisition23rd International Conference on Neural Information Processing (ICONIP 2016), Oct 2016, Kyoto, Japan. pp.591-599, ⟨10.1007/978-3-319-46675-0_65⟩ |
Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-SeriesEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN, 2016, Unknown, Belgium |
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Sequential Cost-Sensitive Feature AcquisitionIDA 2016, 2016, Unknown, Unknown Region |
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Joint prediction of road-traffic and parking occupancy over a city with representation learning19th IEEE International Conference on Intelligent Transportation Systems, 2016, Rio de Janeiro, Brazil. ⟨10.1109/ITSC.2016.7795634⟩ |
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Policy-gradient methods for Decision TreesESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2016, Unknown, Belgium |
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Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux.CORIA 2015 - Conférence en Recherche d'Infomations et Applications, Mar 2015, Paris, France. pp.7-22 |
Car-traffic forecasting: A representation learning approachWorkshop MUD, Mining Urban Data 201, 2015, Unknown, Unknown Region |
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WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social MediaNinth International Conference on Web and Social Media, ICWSM 2015, May 2015, Oxford, United Kingdom. pp.130-139 |
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Reinforced Decision TreesEuropean Workshop on Reinforcement Learning - EWRL, 2015, Unknown, Unknown Region |
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Apprentissage de représentation pour la diffusion d'Information dans les réseaux sociauxCOnférence en Recherche d'Information et Applications 2014, CORIA 2014, Mar 2014, Nancy, France. pp.155-170 |
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Sequentially Generated Instance-Dependent Image Representations for ClassificationInternational Conference on Learning Representations, ICLR 2014, Apr 2014, Banff, Canada |
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Learning latent representations of nodes for classifying in heterogeneous social networksThe 7th ACM international conference on Web search and data mining, Feb 2014, New York City, United States. pp.373--382, ⟨10.1145/2556195.2556225⟩ |
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Deep Sequential Neural NetworksEWRL 2015 - Workshop Deep Learning NIPS 2014, 2014, Unknown, Unknown Region |
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Learning social network embeddings for predicting information diffusionThe 7th ACM international conference on Web search and data mining, Feb 2014, New York, United States. pp.393-402, ⟨10.1145/2556195.2556216⟩ |
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Graph Anonymization using Machine Learning2014 IEEE 28th International Conference on Advanced Information Networking and Applications, May 2014, Victoria, Canada. pp.1111-1118, ⟨10.1109/AINA.2014.20⟩ |
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Latent factor blockmodel for modelling relational data35th European Conference on IR Research, ECIR 2013, Mar 2013, Moscou, Russia. pp.447-458, ⟨10.1007/978-3-642-36973-5_38⟩ |
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Classification dans les graphes hétérogénes basée sur une représentation latente des noeudsCORIA 2013, Apr 2013, Neuchâtel, Suisse. pp.85-100 |
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Predicting Information Diffusion in Social Networks using Content and User's Profiles35th European Conference on IR Research, ECIR 2013, Mar 2013, Moscou, Russia. pp.74-85, ⟨10.1007/978-3-642-36973-5_7⟩ |
Choosing which message to publish on social networks: A Contextual bandit approachIEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013, Aug 2013, Niagara Falls, Ontario, Canada. pp.620-627 |
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Predicting information diffusion on social networks with partial knowledgeWWW'12 - The 21st International Conference on World Wide Web, Apr 2012, Lyon, France. pp.1197-1204, ⟨10.1145/2187980.2188261⟩ |
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Apprentissage par renforcement rapide pour des grands ensembles d'actions en utilisant des codes correcteurs d'erreurJournées Francophones sur la planification, la décision et l'apprentissage pour le contrôle des systèmes - JFPDA 2012, May 2012, Villers-lès-Nancy, France. 12 p |
Classification Localement Parcimonieuse par Méthodes SéquentiellesCAP 2012 - Conférence Francophone sur l'Apprentissage Automatique, May 2012, Nancy, France |
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Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP FactorizationEuropean Conference on Machine Learning, Sep 2012, Bristol, United Kingdom. pp.180-194, ⟨10.1007/978-3-642-33486-3_12⟩ |
Link Prediction via Latent Factor BlockmodelWWW'12 - The 21st International Conference on World Wide Web, Apr 2012, Lyon, France. pp.507-508, ⟨10.1145/2187980.2188100⟩ |
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Lecture Séquentielle de Documents pour la ClassificationCORIA, Mar 2012, Bordeaux, France. pp.245-259 |
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Classification and Annotation in Social Corpora using Multiple RelationsThe 20th ACM international conference on Information and knowledge management CIKM'11, Oct 2011, Glasgow, United Kingdom. pp.1215-1220, ⟨10.1145/2063576.2063752⟩ |
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Text Classification: A Sequential Reading Approach33rd European Conference on Information Retrieval (ECIR 2011), Apr 2011, Dublin, Ireland. pp.411-423, ⟨10.1007/978-3-642-20161-5_41⟩ |
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Datum-wise classification. A sequential Approach to sparsityECML PKDD 2011 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2011, Athens, Greece. pp.375-390, ⟨10.1007/978-3-642-23780-5_34⟩ |
Apprentissage des schemas de propagation dans les multi-graphesCOnférence en Recherche d'Infomations et Applications - CORIA 2011, Mar 2011, Avignon, France. pp.159-174 |
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Prédiction de Liens Temporels en Intégrant les Informations de Contenu et de StructureSeconde conférence sur les Modèles et l′Analyse des Réseaux : Approches Mathématiques et Informatique, Oct 2011, Grenoble, France. pp.1-14 |
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Temporal Link Prediction by Integrating Content and Structure InformationThe 20th ACM international conference on Information and knowledge management, CIKM'11, Oct 2011, Glasgow, United Kingdom. pp.1169-1174, ⟨10.1145/2063576.2063744⟩ |
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Link pattern prediction with tensor decomposition in multi-relational networksCIDM 2011 - IEEE Symposium on Computational Intelligence and Data Mining, Apr 2011, Paris, France. pp.333-340, ⟨10.1109/CIDM.2011.5949306⟩ |
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Iterative annotation of multi-relational social networksAdvances in Social Networks Analysis and Mining (ASONAM), 2010 International Conference on, 2010, Unknown, Unknown Region. pp.96--103 |
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A Ranking based Model for Automatic Annotation in a Social NetworkThe Fourth International AAAI Conference on Weblogs and Social Media, ICWSM 2010, May 2010, Washington, DC, United States. pp.231-234 |
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Modèles d'Ordonnancement pour l'Annotation Automatique d'Images dans les Réseaux SociauxCORIA 2010, Mar 2010, Sousse, Tunisie |
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Prédiction de Motifs Relationnels par Décomposition Tensorielle dans les Réseaux SociauxWorkshop Reiso 2010, May 2010, Marseille, France. pp.51-58 |
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MADSPAM Consortium at the ECML/PKDD Discovery Challenge 2010 : 1st place for the English quality taskECML/PKDD Discovery Challenge, Sep 2010, Barcelone, Spain |
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Overview of the INEX 2009 XML Mining Track: Clustering and Classification of XML Documents8th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2009, Dec 2009, Brisbane, Australia. pp.366-378, ⟨10.1007/978-3-642-14556-8_36⟩ |
UPMC/LIP6 at ImageCLEFannotation 2009: Large Scale Visual Concept Detection and AnnotationCLEF working notes 2009, Sep 2009, Corfu, Greece |
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SICA : Simulated Iterative Classification - A new larning method for graph labellingECML PKDD 2009, Sep 2009, Bled, Slovenia. pp.47-62, ⟨10.1007/978-3-642-04174-7_4⟩ |
Report on the xml mining classification track at inex 2009INitiative for the Evaluation of XML Retrieval 2009 Workshop Preproceedings (INEX 2009), 2009, Unknown, Unknown Region. pp.339--343 |
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Web spam challenge 20084th International Workshop on Adversarial Information Retrieval on the Web (AIRWeb), Apr 2008, Beijing, China |
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Applications of Reinforcement Learning to Structured PredictionEuropean Workshop on Reinforcement Learning, Jun 2008, Villeneuve d’Ascq, France. pp.205-219, ⟨10.1007/978-3-540-89722-4_16⟩ |
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Apprentissage de conversion de documents semi-structures a partir d’exemplesCORIA 2008 - Conférence en Recherche d'Informations et Applications, Mar 2008, Tregastel, France. pp.181-196 |
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The Wikipedia XML CorpusAdvances in XML Information Retrieval and Evaluation: Fifth Workshop of the INitiative for the Evaluation of XML Retrieval (INEX'06), Dec 2006, Dagstuhl, Germany. pp.12-19, ⟨10.1007/978-3-540-73888-6_2⟩ |
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Report on the XML Mining Track at INEX 2005 and INEX 2006, Categorization and Clustering of XML Documents5th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2006, Dec 2006, Dagstuhl, Germany. pp.432-443, ⟨10.1007/978-3-540-73888-6_41⟩ |
Shared Corpora Working Group ReportThe LAW, Linguistic Annotation Workshop, Jun 2007, Prague, Czech Republic. pp.184-190 |
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Sequence Labelling with Reinforcement Learning and Ranking Algorithms18th European Conference on Machine Learning, ECML 2007, Sep 2007, Warsaw, Poland. pp.648-657, ⟨10.1007/978-3-540-74958-5_64⟩ |
Web spam challenge track iiECML/PKDD Graph Labelling Workshop, Sep 2007, Warsaw, Poland |
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Probabilistic Model for Structured Document Mapping5th International Conference on Machine Learning and Data Mining for Pattern Recognition (MLDM'07'), Jul 2007, Leizig, Germany. pp.854-867, ⟨10.1007/978-3-540-73499-4_64⟩ |
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XML Structure Mapping, Application to the PASCAL/INEX 2006 XML Document Mining TrackAdvances in XML Information Retrieval and Evaluation: Fifth Workshop of the INitiative for the Evaluation of XML Retrieval (INEX'06), Dec 2006, Dagstuhl, Germany. pp.540-551, ⟨10.1007/978-3-540-73888-6_49⟩ |
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Modèle probabiliste pour l'extraction de structures dans les documents semi-structurés: Application aux documents Web3eme Conference en Recherche d'Information et Applications (CORIA'06), Mar 2006, Lyon, France. pp.169-180 |
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Stochastic models for document restructurationECML'05 Workshop on Relationnal Machine Learning, Oct 2005, Porto, Portugal |
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Classification automatique de structures arborescentes à l’aide du noyau de Fisher: Application aux documents XML6ème Congrès européen de science des systèmes, Sep 2005, Paris, France |
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XML document mining challengeAdvances in XML Information Retrieval and Evaluation, 5th International Workshop of the Initiative for the Evaluation of XML Retrieval (INEX06), 2005, Unknown, Unknown Region |
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Classification automatique de documents structurés. Application au corpus d’arbres étiquetés de type XMLCORIA 2005 - 2ème Conférence en Recherche d'Informations et Applications, Mar 2005, Grenoble, France. pp.167-184 |
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Restructuration automatique de documents dans les corpus semi structurés hétérogènesExtraction et Gestion de Connaissances (EGC'05), Jan 2005, Paris, France. pp.227-238 |
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Document structure matching for heterogeneous corporaSIGIR 2004 workshop on XML and Information Retrieval, Jul 2004, Sheffield, United Kingdom |
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Structured Multimedia Document ClassificationACM Document Engeneering, Nov 2003, Grenoble, France. pp.153-160, ⟨10.1145/958220.958249⟩ |
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A belief networks-based generative model for structured documents. An application to the XML categorizationMLDM 2003 - Third International Conference on Machine Learning and Data Mining in Pattern Recognition, Jul 2003, Leipzig, Germany. pp.328-342, ⟨10.1007/3-540-45065-3_29⟩ |
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Un modèle statistique pour la classification de documents structurésJournées francophones d'Extraction et de Gestion des Connaissances (EGC 2003), Jan 2003, Lyon, France |
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Using belief networks and Fisher kernels for structured document classificationPKDD 2003 - 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Sep 2003, Cavtat-Dubrovnik, Croatia. pp.120-131, ⟨10.1007/978-3-540-39804-2_13⟩ |
Un modèle pour la recherche d’information sur des documents structurés6èmes Journées internationales d'Analyse statistique des Données Textuelles (JADT 2002), Mar 2002, Saint-Malo, France |
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HMM-based passage models for document classification and rankingECIR'01 - 23rd European Colloquium on Information Retrieval Research, Apr 2001, Darmstadt, Germany. pp.126-135 |
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Learning States Representations in POMDPInternational Conference on Learning Representations, ICLR 2014, Apr 2014, Banff, Canada. 2014 |
Learning Information Spread in Content NetworksICLR 2014 - International Conference on Learning Representations, Apr 2014, Banff, Canada. pp.abs/1312.6169, 2014, CoRR |
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Representation Learning for cold-start recommendationICLR, Apr 2014, Banff, Canada. 2014 |
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Deep Sequential Neural NetworkDeep Learning and Representation Learning Workshop, NIPS 2014, Dec 2014, Montreal, Canada |
Corpus-Based Structure Mapping of XML Document Corpora: A Reinforcement Learning Based ModelModeling, Learning, and Processing of Text Technological Data Structures, 370, Springer Berlin/Heidelberg, pp.249-266, 2012, Studies in Computational Intelligence, 978-3-642-22612-0. ⟨10.1007/978-3-642-22613-7_13⟩ |
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Machine Learning for Semi-Structured Multimedia Documents : Application to pornographic filtering and thematic categorizationMachine Learning Techniques for Multimedia Content, Springer, pp.227-247, 2008, Cognitive Technologies, 978-3-540-75170-0. ⟨10.1007/978-3-540-75171-7_10⟩ |
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Mining XML DocumentsP. Poncelet, F. Masseglia, M. Teisseire. Data Mining Patterns: New Methods and Applications, Information Science Reference, pp.198-219, 2007, ⟨10.4018/978-1-59904-162-9.ch009⟩ |
Semi Structured Document ClassificationEncyclopedia Of Data Warehousing And Mining, Information Science, 2004, 9781591405573 |
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Multi-View Data Generation Without View Supervision2018 |
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A Meta-Learning Approach to One-Step Active Learning2018 |
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Modeling Relational Data via Latent Factor Blockmodel2012 |