Nombre de documents

178

CV de Olivier Pietquin


Article dans une revue19 documents

  • Timothé Collet, Olivier Pietquin. Optimism in Active Learning. Computational Intelligence and Neuroscience, Hindawi Publishing Corporation, 2015. <hal-01225798>
  • Edouard Klein, Bilal Piot, Matthieu Geist, Olivier Pietquin. Classification structurée pour l'apprentissage par renforcement inverse. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2013, 27 (2), pp.155-169. <10.3166/ria.27.155-169>. <hal-00869723>
  • Matthieu Geist, Olivier Pietquin. Algorithmic Survey of Parametric Value Function Approximation. IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2013, 24 (6), pp.845-867. <10.1109/TNNLS.2013.2247418>. <hal-00869725>
  • Olivier Pietquin, Helen Hastie. A survey on metrics for the evaluation of user simulations. Knowledge Engineering Review, Cambridge University Press (CUP), 2013, 28 (1), pp.59-73. <10.1017/S0269888912000343>. <hal-00771654>
  • Mark Eilers, Claus Möbus, Fabio Tango, Olivier Pietquin. The learning of longitudinal human driving behavior and driver assistance strategies. Transportation Research Part F: Traffic Psychology and Behaviour, Elsevier, 2013, 21, pp.295-314. <http://www.sciencedirect.com/science/article/pii/S136984781300096X>. <10.1016/j.trf.2013.09.021>. <hal-01068038>
  • Lucie Daubigney, Matthieu Geist, Senthilkumar Chandramohan, Olivier Pietquin. A Comprehensive Reinforcement Learning Framework for Dialogue Management Optimisation. IEEE Journal of Selected Topcis in Signal Processing, 2012, 6 (8), pp.891-902. <10.1109/JSTSP.2012.2229257>. <hal-00771646>
  • Jason Williams, Kai Yu, Brahim Chaïb-Draa, Oliver Lemon, Roberto Pieraccini, et al.. Introduction to the Issue on Advances in Spoken Dialogue Systems and Mobile Interface. IEEE Journal of Selected Topics in Signal Processing, IEEE, 2012, 6 (8), pp.889-890. <10.1109/JSTSP.2012.2234401>. <hal-00784330>
  • Olivier Lemon, Olivier Pietquin. Introduction to special issue on machine learning for adaptivity in spoken dialogue systems. ACM Transactions on Speech and Language Processing, 2011, 7 (3), pp.Article N°3. <10.1145/1966407.1966408>. <hal-00598375>
  • Béatrice Chevaillier, Damien Mandry, Jean-Luc Collette, Michel Claudon, Marie-Agnès Galloy, et al.. Functional Segmentation of Renal DCE-MRI Sequences Using Vector Quantization Algorithms. Neural Processing Letters, Springer Verlag, 2011, 34 (1), pp.71-85. <10.1007/s11063-011-9184-y>. <hal-00598278>
  • Olivier Pietquin, Matthieu Geist, Senthilkumar Chandramohan, Hervé Frezza-Buet. Sample-Efficient Batch Reinforcement Learning for Dialogue Management Optimization. ACM - Transactions on Speech and Language Processing, Association for Computing Machinery, 2011, 7 (3), pp.art. 7 (1-21). <10.1145/1966407.1966412>. <hal-00617517>
  • Matthieu Geist, Olivier Pietquin, Gabriel Fricout. Différences temporelles de Kalman: Cas déterministe. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2010, 24 (4), pp.423-443. <10.3166/ria.24.423-443>. <hal-00512093>
  • Brice Fernandez, Julien Oster, Maélène Lohézic, Damien Mandry, Olivier Pietquin, et al.. Adaptive Black Blood Fast Spin Echo for End-Systolic Rest Cardiac Imaging. Magnetic Resonance in Medicine, Wiley, 2010, 64 (6), pp.1760-1771. <10.1002/mrm.22566>. <hal-00545837>
  • Julien Oster, Olivier Pietquin, Michel Kraemer, Jacques Felblinger. Nonlinear Bayesian Filtering for Denoising of Electrocardiograms Acquired in a Magnetic Resonance Environment. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2010, 57 (7), pp.1628-1638. <10.1109/TBME.2010.2046324>. <hal-00545845>
  • Matthieu Geist, Olivier Pietquin. Kalman Temporal Differences. Journal of Artificial Intelligence Research, Association for the Advancement of Artificial Intelligence, 2010, 39, pp.483-532. <hal-00858687>
  • Brice Fernandez, Julien Oster, Maélène Lohézic, Damien Mandry, Olivier Pietquin, et al.. Adaptive black blood fast spin echo for end-systolic rest cardiac imaging.. Magnetic Resonance in Medicine, Wiley, 2010, 64 (6), pp.1760-71. <10.1002/mrm.22566>. <inserm-00605433>
  • Matthieu Geist, Olivier Pietquin, Gabriel Fricout. From Supervised to Reinforcement Learning: a Kernel-based Bayesian Filtering Framework. International Journal On Advances in Software, IARIA, 2009, 2 (1), pp.101-116. <hal-00429891>
  • Julien Oster, Olivier Pietquin, Roger Abächerli, Michel Kraemer, Jacques Felblinger. Independent component analysis-based artefact reduction: application to the electrocardiogram for improved magnetic resonance imaging triggering. Physiological Measurement, IOP Publishing, 2009, 30 (12), pp.1381-1397. <10.1088/0967-3334/30/12/007>. <hal-00436524>
  • Julien Oster, Olivier Pietquin, Roger Abächerli, Michel Kraemer, Jacques Felblinger. Independent component analysis-based artefact reduction: application to the electrocardiogram for improved magnetic resonance imaging triggering.. Physiological Measurement, IOP Publishing, 2009, 30 (12), pp.1381-97. <10.1088/0967-3334/30/12/007>. <inserm-00605764>
  • Olivier Pietquin, Thierry Dutoit. A probabilistic framework for dialog simulation and optimal strategy learning. IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2006, 14 (2), pp.589-599. <10.1109/TSA.2005.855836>. <hal-00207952>

Communication dans un congrès142 documents

  • Julien Pérolat, Bilal Piot, Bruno Scherrer, Olivier Pietquin. On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games. 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016), May 2016, Cadiz, Spain. Proceedings of the International Conference on Artificial Intelligences and Statistics. <http://www.aistats.org/>. <hal-01291495>
  • Alexandre Bérard, Olivier Pietquin, Laurent Besacier, Christophe Servan. Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation. NIPS Workshop on end-to-end learning for speech and audio processing, Dec 2016, Barcelona, Spain. 2016. <hal-01408086>
  • Hadrien Glaude, Olivier Pietquin. PAC learning of Probabilistic Automaton based on the Method of Moments. International Conference on Machine Learning (ICML 2016), Jun 2016, New York, United States. <hal-01406889>
  • Layla El Asri, Romain Laroche, Olivier Pietquin. Compact and Interpretable Dialogue State Representation with Genetic Sparse Distributed Memory. 7th International Workshop on Spoken Dialogue Systems (IWSDS 2016), Jan 2016, Saariselka, Finland. <http://www.iwsds.org/>. <hal-01406873>
  • Layla El Asri, Bilal Piot, Matthieu Geist, Romain Laroche, Olivier Pietquin. Score-based Inverse Reinforcement Learning. International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), May 2016, Singapore, Singapore. <http://sis.smu.edu.sg/aamas2016>. <hal-01406886>
  • Merwan Barlier, Romain Laroche, Olivier Pietquin. A Stochastic Model for Computer-Aided Human-Human Dialogue. Interspeech 2016, Sep 2016, San Francisco, United States. 2016, pp.2051 - 2055, 2016, <http://www.interspeech2016.org/>. <hal-01406894>
  • Merwan Barlier, Romain Laroche, Olivier Pietquin. Learning Dialogue Dynamics with the Method of Moments. Workshop on Spoken Language Technologie (SLT 2016), Dec 2016, San Diego, United States. <http://www.slt2016.org/>. <hal-01406904>
  • Alexandre Bérard, Christophe Servan, Olivier Pietquin, Laurent Besacier. MultiVec: a Multilingual and Multilevel Representation Learning Toolkit for NLP. The 10th edition of the Language Resources and Evaluation Conference (LREC), May 2016, Portoroz, Slovenia. 2016, <http://lrec2016.lrec-conf.org/en/>. <hal-01335930>
  • Julien Pérolat, Bilal Piot, Matthieu Geist, Bruno Scherrer, Olivier Pietquin. Softened Approximate Policy Iteration for Markov Games. ICML 2016 - 33rd International Conference on Machine Learning, Jun 2016, New York City, United States. <hal-01393328>
  • Thibaut Munzer, Bilal Piot, Matthieu Geist, Olivier Pietquin, Manuel Lopes. Inverse Reinforcement Learning in Relational Domains. International Joint Conferences on Artificial Intelligence, Jul 2015, Buenos Aires, Argentina. <hal-01154650>
  • Hadrien Glaude, Cyrille Enderli, Olivier Pietquin. Non-negative Spectral Learning for Linear Sequential Systems. 22nd International Conference on Neural Information Processing (ICONIP2015), Nov 2015, Istanbul, Turkey. <http://iconip2015.org/>. <hal-01225838>
  • Hadrien Glaude, Cyrille Enderli, Jean-François Grandin, Olivier Pietquin. Learning of scanning strategies for electronic support using predictive state representations. International Workshop on Machine Learning for Signal Processing (MLSP 2015), Sep 2015, Boston, United States. 2015, Proceedings of the International Workshop on Machine Learning for Signal Processing. <http://mlsp2015.conwiz.dk/home.htm>. <hal-01225807>
  • Hadrien Glaude, Cyrille Enderli, Olivier Pietquin. Spectral learning with proper probabilities for finite state automation. ASRU 2015 - Automatic Speech Recognition and Understanding Workshop, Dec 2015, Scottsdale, United States. IEEE, Proceedings of the Automatic Speech Recognition and Understanding Workshop. <http://www.asru2015.org/>. <hal-01225810>
  • Julien Perolat, Bruno Scherrer, Bilal Piot, Olivier Pietquin. Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games. International Conference on Machine Learning (ICML 2015), Jul 2015, Lille, France. 2015, <http://jmlr.org/proceedings/papers/v37/perolat15.pdf>. <hal-01153270v3>
  • Olivier Pietquin, Manuel Lopes. Machine Learning for Interactive Systems: Challenges and Future Trends. Workshop Affect, Compagnon Artificiel, Interaction (WACAI 2014), Jun 2014, Rouen, France. <hal-01073947>
  • Bilal Piot, Matthieu Geist, Olivier Pietquin. Difference of Convex Functions Programming for Reinforcement Learning. Advances in Neural Information Processing Systems (NIPS 2014), Dec 2014, Montreal, Canada. <http://nips.cc/Conferences/2014/>. <hal-01104419>
  • Hadrien Glaude, Cyrille Enderli, Olivier Pietquin. Subspace Identification for Predictive State Representation by Nuclear Norm Minimization. IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2014), Dec 2014, Orlando, United States. <hal-01104423>
  • Layla El Asri, Rémi Lemonnier, Romain Laroche, Hatim Khouzaimi, Olivier Pietquin. NASTIA : Negotiating Appointment Setting Interface. 9th International Conference on Language Resources and Evaluation (LREC 2014), May 2014, Reykjavik, Iceland. <hal-01107492>
  • Layla El Asri, Romain Laroche, Olivier Pietquin. Task Completion Transfer Learning for Reward Inference. International Workshop on Machine Learning for Interactive Systems (MLIS 2014), Jul 2014, Québec, Canada. <hal-01107500>
  • Layla El Asri, Hatim Khouzaimi, Romain Laroche, Olivier Pietquin. Ordinal Regression for Interaction Quality Prediction. 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP2014), May 2014, Florence, Italy. IEEE, pp.3221 - 3225, <10.1109/ICASSP.2014.6854195>. <hal-01107499>
  • Timothé Collet, Olivier Pietquin. Active Learning for Classification: An Optimistic Approach. IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2014), Dec 2014, Orlando, United States. IEEE, pp.1 - 8, <10.1109/ADPRL.2014.7010610>. <hal-01107508>
  • Layla El Asri, Romain Laroche, Olivier Pietquin. DINASTI : Dialogues with a Negotiating Appointment Setting Interface. 9th International Conference on Language Resources and Evaluation (LREC 2014), May 2014, Reykjavik, Iceland. <hal-01107496>
  • Bilal Piot, Matthieu Geist, Olivier Pietquin. Boosted and Reward-regularized Classification for Apprenticeship Learning. AAMAS 2014 : 13th International Conference on Autonomous Agents and Multiagent Systems, May 2014, Paris, France. ACM, pp.1249-1256, <http://aamas2014.lip6.fr/proceedings/aamas/p1249.pdf>. <hal-01107837>
  • Bilal Piot, Matthieu Geist, Olivier Pietquin. Boosted Bellman Residual Minimization Handling Expert Demonstrations. European Conference, ECML PKDD 2014, Sep 2014, Nancy, France. 8725, pp.549-564, 2014, Lecture Notes in Computer Science. <10.1007/978-3-662-44851-9_35>. <hal-01060953>
  • Bilal Piot, Matthieu Geist, Olivier Pietquin. Méthode de minimisation du résidu de Bellman boostée qui tient compte des démonstrations expertes.. 9èmes Journées Francophones de Planification, Décision et Apprentissage (JFPDA'14), May 2014, Liège, Belgique. 2014. <hal-01104789>
  • Bilal Piot, Olivier Pietquin, Matthieu Geist. Predicting when to laugh with structured classification. InterSpeech 2014, Sep 2014, Singapore, Singapore. Proceedings of the Annual Conference of the International Speech Communication Association, pp.1786-1790, 2014, <http://www.isca-speech.org/archive/archive_papers/interspeech_2014/i14_1786.pdf>. <hal-01104739>
  • Lucie Daubigney, Matthieu Geist, Olivier Pietquin. Model-free POMDP optimisation of tutoring systems with echo-state networks. SIGDial 2013, Aug 2013, Metz, France. pp.102-106, 2013. <hal-00869773>
  • Lucie Daubigney, Matthieu Geist, Olivier Pietquin. Optimisation par essaims particulaires de stratégies de dialogue. Journées Francophones de Plannification, Décision et Apprentissage (JFPDA), Jul 2013, Lille, France. <hal-00918425>
  • Bilal Piot, Matthieu Geist, Olivier Pietquin. Classification régularisée par la récompense pour l'Apprentissage par Imitation. Journées Francophones de Plannification, Décision et Apprentissage (JFPDA), Jul 2013, Lille, France. <hal-00916940>
  • Matthieu Geist, Edouard Klein, Bilal Piot, Yann Guermeur, Olivier Pietquin. Around Inverse Reinforcement Learning and Score-based Classification. 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2013), Oct 2013, Princeton, New Jersey, United States. <hal-00916936>
  • Lucie Daubigney, Matthieu Geist, Olivier Pietquin. Particle Swarm Optimisation of Spoken Dialogue System Strategies. Interspeech 2013, Aug 2013, Lyon, France. pp.1-5, 2013. <hal-00916935>
  • Edouard Klein, Bilal Piot, Matthieu Geist, Olivier Pietquin. Apprentissage par renforcement inverse en cascadant classification et régression. Journées Francophones de Plannification, Décision et Apprentissage (JFPDA), Jul 2013, Lille, France. <hal-00916942>
  • Bilal Piot, Matthieu Geist, Olivier Pietquin. Learning from demonstrations: Is it worth estimating a reward function?. 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2013), Oct 2013, Princeton, New Jersey, United States. <hal-00916938>
  • Bilal Piot, Matthieu Geist, Olivier Pietquin. Apprentissage par démonstrations : vaut-il la peine d'estimer une fonction de récompense?. Journées Francophones de Plannification, Décision et Apprentissage (JFPDA), Jul 2013, Lille, France. <hal-00916941>
  • Radoslaw Niewiadomski, Jennifer Hofmann, Jérôme Urbain, Tracey Platt, Johannes Wagner, et al.. Laugh-aware virtual agent and its impact on user amusement. AAMAS '13, May 2013, Saint Paul, Minnesota, United States. pp.619-626, 2013. <hal-00869751>
  • Layla El Asri, Romain Laroche, Olivier Pietquin. Reward Shaping for Statistical Optimisation of Dialogue Management. Dediu, Adrian-Horia and Marti­n-Vide, Carlos and Mitkov, Ruslan and Truthe, Bianca. SLSP 2013, Jul 2013, Tarragona, Spain. Springer, pp.93-101, 2013, Lecture Notes in Computer Science. <10.1007/978-3-642-39593-2_8>. <hal-00869809>
  • Bilal Piot, Matthieu Geist, Olivier Pietquin. Learning from Demonstrations: Is It Worth Estimating a Reward Function?. Blockeel, Hendrik and Kersting, Kristian and Nijssen, Siegfried and Zelezny, Filip. ECML/PKDD 2013, Sep 2013, Prague, Czech Republic. Springer, 8188, pp.17-32, 2013, Lecture Notes in Computer Science. <10.1007/978-3-642-40988-2_2>. <hal-00869801>
  • Edouard Klein, Bilal Piot, Matthieu Geist, Olivier Pietquin. A cascaded supervised learning approach to inverse reinforcement learning. Blockeel, Hendrik and Kersting, Kristian and Nijssen, Siegfried and Zelezny, Filip. ECML/PKDD 2013, Sep 2013, Prague, Czech Republic. Springer, 8188, pp.1-16, 2013, Lecture Notes in Computer Science. <10.1007/978-3-642-40988-2_1>. <hal-00869804>
  • Olivier Pietquin. Inverse reinforcement learning for interactive systems. MLIS '13, Aug 2013, Beijing, China. pp.71-75, 2013, <10.1145/2493525.2493529>. <hal-00869812>
  • Lucie Daubigney, Matthieu Geist, Olivier Pietquin. Random Projections: a Remedy for Overfitting Issues in Time Series Prediction with Echo State Networks. ICASSP 2013, May 2013, Vancouver, Canada. pp.3253-3257, 2013. <hal-00869814>
  • Edouard Klein, Bilal Piot, Matthieu Geist, Olivier Pietquin. Classification structurée pour l'apprentissage par renforcement inverse. Conférence Francophone sur l'Apprentissage Automatique - CAp 2012, May 2012, Nancy, France. pp.1-16, 2012. <hal-00701947>
  • Lucie Daubigney, Matthieu Geist, Olivier Pietquin. Apprentissage off-policy appliqué à un système de dialogue basé sur les PDMPO. RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France. pp.978-2-9539515-2-3, 2012. <hal-00656496>
  • Olivier Pietquin. Statistical User Simulation for Spoken Dialogue Systems: What for, Which Data, Which Future?. NAACL-HLT 2012, Jun 2012, Montréal, Canada. pp.9-10. <hal-00710067>
  • Edouard Klein, Matthieu Geist, Bilal Piot, Olivier Pietquin. Inverse Reinforcement Learning through Structured Classification. NIPS 2012, Dec 2012, Lake Tahoe, Nevada, United States. pp.1-9, 2012. <hal-00778624>
  • Senthilkumar Chandramohan, Matthieu Geist, Fabrice Lefèvre, Olivier Pietquin. Co-adaptation in Spoken Dialogue Systems. IWSDS 2012, Nov 2012, Paris, France. pp.1, 2012. <hal-00778752>
  • Senthilkumar Chandramohan, Matthieu Geist, Fabrice Lefèvre, Olivier Pietquin. Regroupement non-supervisé d'utilisateurs par leur comportement pour les systèmes de dialogue parlé. Olivier Buffet. Journées Francophones sur la planification, la décision et l'apprentissage pour le contrôle des systèmes - JFPDA 2012, May 2012, Villers-lès-Nancy, France. 16 p, 2012. <hal-00736205>
  • Olivier Pietquin, Fabio Tango. A Reinforcement Learning Approach to Optimize the longitudinal Behavior of a Partial Autonomous Driving Assistance System. Luc De Raedt, Christian Bessiere, Didier Dubois, Patrick Doherty, Paolo Frasconi, Fredrik Heintz, Peter Lucas. ECAI 2012, Aug 2012, Montpellier, France. 242, pp.987-992, 2012, Frontiers in Artificial Intelligence and Applications. <10.3233/978-1-61499-098-7-987>. <hal-00749436>
  • Julien Oster, Matthieu Geist, Olivier Pietquin, Gary Clifford. Filtering of pathological ventricular rhythms during MRI scanning. BSI2012, Jul 2012, Como, Italy. pp.97-100, 2012. <hal-00749457>
  • Lucie Daubigney, Matthieu Geist, Olivier Pietquin. Optimisation d'un tuteur intelligent à partir d'un jeu de données fixé. JEP 2012, Jun 2012, Grenoble, France. 1 (JEP), pp.241-248, 2012. <hal-00749498>
  • Senthilkumar Chandramohan, Matthieu Geist, Fabrice Lefèvre, Olivier Pietquin. Behavior Specific User Simulation in Spoken Dialogue Systems. 10th ITG Conference on Speech Communication, Sep 2012, Braunschweig, Germany. pp.1-4, 2012. <hal-00749421>
  • Layla El Asri, Romain Laroche, Olivier Pietquin. Reward Function Learning for Dialogue Management. K. Kersting and M. Toussaint. STAIRS 2012, Aug 2012, Montpellier, France. pp.95-106, 2012, <10.3233/978-1-61499-096-3-95>. <hal-00749430>
  • Edouard Klein, Bilal Piot, Matthieu Geist, Olivier Pietquin. Structured Classification for Inverse Reinforcement Learning. EWRL 2012, Jun 2012, Edinburgh, United Kingdom. 24, pp.1-14, 2012. <hal-00749524>
  • Lucie Daubigney, Matthieu Geist, Olivier Pietquin. Off-policy Learning in Large-scale POMDP-based Dialogue Systems. ICASSP 2012, Mar 2012, Kyoto, Japan. IEEE, pp.4989-4992, 2012. <hal-00684819>
  • Senthilkumar Chandramohan, Matthieu Geist, Fabrice Lefèvre, Olivier Pietquin. Clustering Behaviors Of Spoken Dialogue Systems Users. ICASSP 2012, Mar 2012, Kyoto, Japan. IEEE, pp.4981-4984, 2012. <hal-00685009>
  • Matthieu Geist, Olivier Pietquin. Parametric value function approximation: A unified view. ADPRL 2011, Apr 2011, Paris, France. pp.9-16, 2011, <10.1109/ADPRL.2011.5967355>. <hal-00618112>
  • Jérémy Fix, Matthieu Geist, Olivier Pietquin, Hervé Frezza-Buet. Dynamic Neural Field Optimization using the Unscented Kalman Filter. CCMB 2011, Apr 2011, Paris, France. 7 p., 2011, <10.1109/CCMB.2011.5952113>. <hal-00618117>
  • Edouard Klein, Matthieu Geist, Olivier Pietquin. Batch, Off-policy and Model-Free Apprenticeship Learning. IJCAI Workshop on Agents Learning Interactively from Human Teachers (ALIHT 2011), Jun 2011, Barcelona, Spain. 6 p., 2011. <hal-00596370>
  • Sarah Ménétré, Olivier Pietquin, Jean-Philippe Didon, Jacques Felblinger, Christian De Chillou. Within-Patient Correlation Influence on Defibrillation Outcome Prediction using a Gaussian Mixture Model. CinC 2011, Sep 2011, Hangzhou, China. pp.1-4, 2011. <hal-00652216>
  • Lucie Daubigney, Milica Gašić, Senthilkumar Chandramohan, Matthieu Geist, Olivier Pietquin, et al.. Uncertainty management for on-line optimisation of a POMDP-based large-scale spoken dialogue system. Interspeech 2011, Aug 2011, Florence, Italy. pp.1301-1304, 2011. <hal-00652194>
  • Stéphane Rossignol, Olivier Pietquin. Comparaison de mesures de voisment/non-voisement dans les signaux de parole. GRETSI 2011, Sep 2011, Bordeaux, France. pp.1-5, 2011. <hal-00652452>
  • Lucie Daubigney, Senthilkumar Chandramohan, Matthieu Geist, Olivier Pietquin. Gestion de l'incertitude pour l'optimisation en ligne d'un gestionnaire de dialogues parlés à grande échelle basé sur les POMDP. JFPDA 2011, Jun 2011, Rouen, France. pp.1-7, 2011. <hal-00652511>
  • Lucie Daubigney, Matthieu Geist, Olivier Pietquin. Apprentissage par renforcement pour la personnalisation d'un logiciel d'enseignement des langues. EIAH 2011, May 2011, Mons, Belgique. pp.1-5, 2011. <hal-00652516>
  • Sophie Chague, Johan D'Hose, Jean-François Goudou, Bernadette Dorizzi, Laurent Giulieri, et al.. METHODEO : Méthodologie d'évaluation des algorithmes d'exploitation des enregistrements de la vidéoprotection. Workshop Interdisciplinaire sur la Sécurité Globale (WISG 2011), Jan 2011, Troyes, France. <hal-00652748>
  • Senthilkumar Chandramohan, Matthieu Geist, Olivier Pietquin. Apprentissage par Renforcement Inverse pour la Simulation d'Utilisateurs dans les Systèmes de Dialogue. JFPDA 2011, Jun 2011, Rouen, France. pp.1-7, 2011. <hal-00652753>
  • Hadrien Glaude, Fadi Akrimi, Matthieu Geist, Olivier Pietquin. A Non-Parametric Approach to Approximate Dynamic Programming. ICMLA 2011, Dec 2011, Honolulu, Hawaii, United States. pp.1-6, 2011. <hal-00652438>
  • Senthilkumar Chandramohan, Matthieu Geist, Fabrice Lefevre, Olivier Pietquin. User Simulation in Dialogue Systems using Inverse Reinforcement Learning. Interspeech 2011, Aug 2011, Florence, Italy. pp.1025-1028, 2011. <hal-00652446>
  • Olivier Pietquin, Lucie Daubigney, Matthieu Geist. Optimization of a Tutoring System from a Fixed Set of Data. SLaTE 2011, Aug 2011, Venice, Italy. pp.1-4, 2011. <hal-00652324>
  • Béatrice Chevaillier, Jean-Luc Collette, Damien Mandry, Michel Claudon, Olivier Pietquin. Segmentation fonctionnelle de séquences d'IRM rénales à rehaussement de contraste par quantification vectorielle. Colloque Recherche en Imagerie et Technologies pour la Santé (RITS 2011), Apr 2011, Rennes, France. <hal-00652737>
  • Edouard Klein, Matthieu Geist, Olivier Pietquin. Apprentissage par imitation dans un cadre batch, off-policy et sans modèle. JFPDA 2011, Jun 2011, Rouen, France. pp.1-9, 2011. <hal-00652762>
  • Stéphane Rossignol, Olivier Pietquin. Training a BN-based user model for dialogue simulation with missing data. IJCNLP 2011, Nov 2011, Chiang Mai, Thailand. ACLWeb, pp.598-604, 2011. <hal-00652458>
  • Matthieu Geist, Olivier Pietquin. Kalman filtering & colored noises: the (autoregressive) moving-average case. MLASA 2011, Dec 2011, Honolulu, United States. pp.1-4, 2011. <hal-00660607>
  • Edouard Klein, Matthieu Geist, Olivier Pietquin. Reducing the dimentionality of the reward space in the Inverse Reinforcement Learning problem. MLASA 2011, Dec 2011, Honolulu, United States. pp.1-4, 2011. <hal-00660612>
  • Edouard Klein, Matthieu Geist, Olivier Pietquin. Batch, Off-policy and Model-free Apprenticeship Learning. EWRL 2011, Sep 2011, Athens, Greece. pp.1-12, 2011. <hal-00660623>
  • Olivier Pietquin, Fabio Tango, Raghav Aras. Batch Reinforcement Learning for Optimizing Longitudinal Driving Assistance Strategies. CIVTS 2011, Apr 2011, Paris, France. pp.73-79, 2011, <10.1109/CIVTS.2011.5949533>. <hal-00617644>
  • Lucie Daubigney, Olivier Pietquin. Single-trial P300 detection with Kalman ltering and SVMs. ESANN 2011, Apr 2011, Bruges, Belgium. pp.399-404, 2011. <hal-00618130>
  • Olivier Pietquin, Matthieu Geist, Senthilkumar Chandramohan. Sample Efficient On-line Learning of Optimal Dialogue Policies with Kalman Temporal Differences. IJCAI 2011, Jul 2011, Barcelona, Spain. pp.1878-1883, 2011. <hal-00618252>
  • Fabio Tango, Lucas Minin, Raghav Aras, Olivier Pietquin. Automation Effects on Driver's Behaviour When Integrating a PADAS and a Distraction Classifier. Vincent Duffy. HCI 2011, Jul 2011, Orlando, Florida, United States. Springer Berlin / Heidelberg, 6777, pp.503-512, 2011, Lecture Notes in Computer Science. <10.1007/978-3-642-21799-9_56>. <hal-00618282>
  • Béatrice Chevaillier, Jean-Luc Collette, Damien Mandry, Michel Claudon, Olivier Pietquin. Objective Assessment Of Renal DCE-MRI Image Segmentation. European Signal Processing Conference (EUSIPCO 2010), Aug 2010, Aalborg, Denmark. pp.1214-1218, 2010. <hal-00551341>
  • Fabio Tango, Maria Alonso, Henar Vega, Raghav Aras, Olivier Pietquin. A Reinforcement Learning approach for designing and optimizing interaction strategies for a Human-Machine Interface of a Partially Autonomous Driver Assistance System. Cacciabue, P.C.; Hjälmdahl, M.; Luedtke, A.; Riccioli, C. HMAT 2010, Jun 2010, Belgirate, Italy. Springer Milan, pp.353-361, 2011, <10.1007/978-88-470-1821-1_38>. <hal-00618342>
  • Julien Oster, Olivier Pietquin, Michel Kraemer, Jacques Felblinger. Bayesian Framework for Artifact Reduction on ECG in MRI. ICASSP 2010, Mar 2010, Dallas, United States. pp.489-492, 2010. <hal-00476479>
  • Matthieu Geist, Olivier Pietquin. Managing Uncertainty within the KTD Framework. Active Learning and Experimental Design workshop in conjunction with AISTATS 2010, May 2010, Sardinia, Italy. 16, pp.157-168, 2011. <hal-00599636>
  • Matthieu Geist, Olivier Pietquin. Statistically Linearized Least-Squares Temporal Differences. 5èmes Journées Francophones de Planification, Décision et Apprentissage pour la conduite de systèmes (JFPDA'10), Jun 2010, Besançon, France. <hal-00554338>
  • Matthieu Geist, Olivier Pietquin. Managing Uncertainty within Value Function Approximation in Reinforcement Learning. Active Learning and Experimental Design workshop (collocated with AISTATS 2010), May 2010, Sardinia, Italy. <hal-00554398>
  • Matthieu Geist, Olivier Pietquin. Revisiting natural actor-critics with value function approximation. 5èmes Journées Francophones de Planification, Décision et Apprentissage pour la conduite de systèmes (JFPDA'10), Jun 2010, Besançon, France. <hal-00554346>
  • Raghav Aras, Olivier Pietquin. Optimal Average Reward Controllers For POMDPs. 5èmes Journées Francophones de Planification, Décision et Apprentissage pour la conduite de systèmes (JFPDA'10), Jun 2010, Besançon, France. <hal-00554373>
  • Matthieu Geist, Olivier Pietquin. Eligibility Traces through Colored Noises. ICUMT 2010, Oct 2010, Moscow, Russia. pp.458-465, 2010, <10.1109/ICUMT.2010.5676597>. <hal-00553910>
  • Matthieu Geist, Olivier Pietquin. Revisiting Natural Actor-Critics with Value Function Approximation. V. Torra and Y. Narukawa and M. Daumas. MDAI 2010, Oct 2010, Perpignan, France. Springer Verlag - Heidelberg Berlin, 6408, pp.207-218, 2010, Lecture Notes in Computer Science (LNCS). <10.1007/978-3-642-16292-3_21>. <hal-00553870>
  • Matthieu Geist, Olivier Pietquin. Gestion de l'incertitude dans le cadre de l'approximation de la fonction de valeur pour l'apprentissage par renforcement. CAP 2010, May 2010, Clermont-Ferrand, France. PUG, pp.101-112, 2010. <hal-00553895>
  • Matthieu Geist, Olivier Pietquin. Statistically linearized least-squares temporal differences. ICUMT 2010, Oct 2010, Moscow, Russia. pp.450-457, 2010, <10.1109/ICUMT.2010.5676598>. <hal-00553913>
  • Senthilkumar Chandramohan, Matthieu Geist, Olivier Pietquin. Sparse Approximate Dynamic Programming for Dialog Management. SIGDial 2010, Sep 2010, Tokyo, Japan. ACL, pp.107-115, 2010. <hal-00553180>
  • Senthilkumar Chandramohan, Matthieu Geist, Olivier Pietquin. Optimizing Spoken Dialogue Management with Fitted Value Iteration. Interspeech 2010, Sep 2010, Makuhari, Japan. ISCA, pp.86-89, 2010. <hal-00553184>
  • Matthieu Geist, Olivier Pietquin, Gabriel Fricout. Astuce du Noyau & Quantification Vectorielle. RFIA'10, Jan 2010, Caen, France. 8 p., 2010. <hal-00553114>
  • Matthieu Geist, Olivier Pietquin. Revisiting natural actor-critics with value function approximation. BNAIC 2010, Oct 2010, Luxembourg, Luxembourg. 1 page, 2010. <hal-00553175>
  • Matthieu Geist, Olivier Pietquin. Statistically Linearized Recursive Least Squares. MLSP 2010, Aug 2010, Kittilä, Finland. pp.272-276, 2010, <10.1109/MLSP.2010.5589236>. <hal-00553168>
  • Jean-Louis Gutzwiller, Hervé Frezza-Buet, Olivier Pietquin. Online Speaker Diarization with a Size-Monitored Growing Neural Gas Algorithm. Michel Verleysen. ESANN 2010, Apr 2010, Bruges, Belgium. pp.505-510, 2010. <hal-00552988>
  • Stéphane Rossignol, Olivier Pietquin, Michel Ianotto. Simulation du processus de croyance mutuelle de la compréhension dans le dialogue (grounding process) à l'aide des réseaux bayésiens. JEP 2010, May 2010, Mons, Belgium. 5 p., 2010. <hal-00552956>
  • Stéphane Rossignol, Olivier Pietquin. Single-speaker/multi-speaker co-channel speech classification. Interspeech 2010, Sep 2010, Makuhari, Japan. ISCA, pp.2322-2325, 2010. <hal-00552948>
  • Senthilkumar Chandramohan, Olivier Pietquin. User and Noise Adaptive Dialogue Management Using Hybrid System Actions. Gary Geunbae Lee and Joseph Mariani and Wolfgang Minker and Satoshi Nakamura. IWSDS 2010, Oct 2010, Gotemba, Shizuoka, Japan. Springer Verlag, Heidelberg - Berlin, 6392, pp.13-24, 2010, Lecture Notes in Artificial Intelligence (LNAI). <hal-00552848>
  • Stéphane Rossignol, Olivier Pietquin, Michel Ianotto. Simulation of the Grounding Process in Spoken Dialog Systems with Bayesian Networks. Gary Geunbae Lee and Joseph Mariani and Wolfgang Minker and Satoshi Nakamura. IWSDS 2010, Oct 2010, Gotemba, Shizuoka, Japan. Springer-Verlag, Heidelberg-Berlin, 6392, pp.110-121, 2010, Lecture Notes in Artificial Intelligence (LNAI). <hal-00552853>
  • Mohamed Saïdi, Olivier Pietquin, Régine André-Obrecht. Application of the EMD decomposition to discriminate nasalized vs. vowels phones in French. SPPRA 2010, Feb 2010, Innsbruck, Austria. pp.128-132, 2010. <hal-00459657>
  • Brice Fernandez, Julien Oster, Maélène Lohézic, Damien Mandry, Olivier Pietquin, et al.. Beat to Beat Management of Heart Cycle Changes for Black Blood Imaging in End-Systolic Rest. ISMRM 2010, Feb 2010, Kitzbuhel, Austria. 2010. <hal-00555858>
  • Fabio Tango, Raghav Aras, Olivier Pietquin. Learning Optimal Control Strategies from Interactions with a PADAS. Cacciabue, P.C.; Hjälmdahl, M.; Luedtke, A.; Riccioli, C. HMAT 2010, Jun 2010, Belgirate, Italy. Springer Milan, pp.119-127, 2011, <10.1007/978-88-470-1821-1_12>. <hal-00618402>
  • Olivier Pietquin, Stéphane Rossignol, Michel Ianotto. Training Bayesian networks for realistic man-machine spoken dialogue simulation. IWSDS 2009, Dec 2009, Irsee, Germany. Proceedings on CD-ROM (4 p.), 2009. <hal-00448636>
  • Brice Fernandez, Julien Oster, Maélène Lohézic, Damien Mandry, Olivier Pietquin, et al.. Amélioration de l'imagerie du ventricule droit en IRM cardiaque en « sang noir » par une méthode adaptative. Journée Claude Huriet, Dec 2009, Nancy, France. <hal-00445844>
  • J. Oster, J. Pascal, Olivier Pietquin, M. Kraemer, J.P. Blondé, et al.. Real-Time adaptive suppression of MR gradient artifacts on electorcardiograms using a new 3D Hall probe. 17th Scientific Meeting & Exhibition of the International Society for Magnetic Resonance Medicine (ISMRM 2009, Apr 2009, HONOLULU, United States. <hal-00409613>
  • Matthieu Geist, Olivier Pietquin, Gabriel Fricout. Kernelizing Vector Quantization Algorithms. ESANN'2009, Apr 2009, Bruges, Belgium. pp.541-546, 2009. <hal-00429892>
  • Matthieu Geist, Olivier Pietquin, Gabriel Fricout. Kalman Temporal Differences: the deterministic case. ADPRL 2009, Mar 2009, Nashville, TN, United States. pp.185-192, 2009, <10.1109/ADPRL.2009.4927543>. <hal-00380870>
  • Jean-Luc Collette, Olivier Pietquin. Localisation de source sonore par goniométrie acoustique pour la détection de chute. 2ème colloque PARAChute, Nov 2009, Troyes, France. 2 p., 2009. <hal-00437546>
  • Matthieu Geist, Olivier Pietquin, Gabriel Fricout. Tracking in Reinforcement Learning. 16th International Conference on Neural Information Processing - ICONIP 2009, Dec 2009, Bangkok, Thailand. Springer, 5863, pp.502-511, 2009, Lecture Notes in Computer Science (LNCS). <10.1007/978-3-642-10677-4_57>. <hal-00439316>
  • Matthieu Geist, Olivier Pietquin, Gabriel Fricout. Différences Temporelles de Kalman : le cas stochastique. JFPDA 2009, Jun 2009, Paris, France. (13 p.), 2009. <hal-00437006>
  • Julien Oster, Brice Fernandez, Maélène Lohézic, Damien Mandry, Pierre-André Vuissoz, et al.. Adaptive Heart Rate Prediction for Black-Blood Systolic Imaging. ISMRM 2009, Apr 2009, Honolulu, United States. 2009. <hal-00436939>
  • Matthieu Geist, Olivier Pietquin, Gabriel Fricout. Différences Temporelles de Kalman. JFPDA 2009, Jun 2009, Paris, France. (20 p.), 2009. <hal-00437002>
  • Maélène Lohézic, Brice Fernandez, Julien Oster, Damien Mandry, Olivier Pietquin, et al.. Free breathing black-blood systolic imaging using heart rate prediction and motion compensated reconstruction. ISMRM 2009, Apr 2009, Honolulu, United States. 2009. <hal-00437025>
  • Mohamed Saïdi, Olivier Pietquin, Régine André-Obrecht. EMD decomposition to discriminate nasal vs. oral vowels in French. SPECOM 2009, Jun 2009, Saint-Pétersbourg, Russia. (5 p.), 2009. <hal-00437066>
  • Julien Oster, Joris Pascal, Olivier Pietquin, Michel Kraemer, Jean-Philippe Blondé, et al.. Real-Time Adaptive suppression of MR gradient Artifacts on Electorcardiograms using a new 3D Hall Probe. ISMRM 2009, Apr 2009, Honolulu, United States. 2009. <hal-00436924>
  • Brice Fernandez, Julien Oster, Maélène Lohézic, Damien Mandry, Olivier Pietquin, et al.. Adaptive Trigger Delay Using a Predictive Model Applied to Black Blood Fast Spin Echo Cardiac Imaging in Systole. ISMRM 2009, Apr 2009, Honolulu, United States. 2009. <hal-00436940>
  • Julien Oster, Olivier Pietquin, Roger Abächerli, Michel Kraemer, Jacques Felblinger. A specific QRS detector for electrocardiography during MRI: Using wavelets and local regularity characterization. ICASSP 2009, Apr 2009, Taipei, Taiwan. pp.341-344, 2009, <10.1109/ICASSP.2009.4959590>. <hal-00436534>
  • Brice Fernandez, Julien Oster, Maélène Lohézic, Damien Mandry, Olivier Pietquin, et al.. Synchronisation Adaptative Utilisant un Modèle Prédictif : Applications à l'Imagerie Cardiaque par Résonance Magnétique en Sang Noir et en Systole. RITS 2009, Mar 2009, Lille, France. 2009. <hal-00437059>
  • Matthieu Geist, Olivier Pietquin, Gabriel Fricout. A Sparse Nonlinear Bayesian Online Kernel Regression. AdvComp 2008, Oct 2008, Valencia, Spain. pp.199-204, 2008, <10.1109/ADVCOMP.2008.7>. <hal-00327081>
  • Michel Claudon, Damien Mandry, Claude Pasquier, Béatrice Chevaillier, Jean-Luc Collette, et al.. Functional semi-automated segmentation of renal DCE-MRI sequences: preliminary results. ESMRMB 08, Oct 2008, Valencia, Spain. pp.CD-ROM Proceedings, 2008. <hal-00353237>
  • Stéphane Rossignol, Olivier Pietquin. Precise Voicing Information Extraction in Speech Signals Using the Analytic Signal. ISSPIT 2008, Dec 2008, Sarajevo, Bosnia and Herzegovina. pp.207-212, 2008, <10.1109/ISSPIT.2008.4775673>. <hal-00351273>
  • Matthieu Geist, Olivier Pietquin. Bayesian Reward Filtering. EWRL 2008, Jun 2008, Lille, France. 5323, pp.96-109, 2008, Lecture Notes in Computer Science (LNCS). <10.1007/978-3-540-89722-4_8>. <hal-00351282>
  • Julien Oster, Olivier Pietquin, Michel Kraemer, Jacques Felblinger. Méthode de réduction des artéfacts présents sur l'ECG basée sur l'analyse en composantes indépendantes. GRAMM'08, Mar 2008, Lyon, France. 2008. <hal-00351606>
  • Julien Oster, Olivier Pietquin, Michel Kraemer, Jacques Felblinger. Independent Component Analysis based Artifact Reduction Method for ECG in MR. ESMRMB 08, Oct 2008, Valencia, Spain. pp.CD-ROM Proceedings, 2008. <hal-00351416>
  • Matthieu Geist, Olivier Pietquin, Gabriel Fricout. Filtrage bayésien de la récompense. JFPDA 2008, Jun 2008, Metz, France. pp.113-122, 2008. <hal-00351343>
  • François Gaspard, Olivier Pietquin, Florence Sèdes, Jean-François Seignole, Jean-François Sulzer. Architecture Générique de Stockage Multimedia Réparti avec Recherche et Indexation distribuées (Projet ITEA2 LINDO). AViRS 2008, Apr 2008, France. 2008. <hal-00351426>
  • Matthieu Geist, Olivier Pietquin, Gabriel Fricout. Kalman Temporal Differences: Uncertainty and Value Function Approximation. NIPS Workshop on Model Uncertainty and Risk in Reinforcement Learning, Dec 2008, Vancouver, Canada. <hal-00351298>
  • Brice Fernandez, Julien Oster, Maélène Lohézic, Damien Mandry, Olivier Pietquin, et al.. Synchronisation Adaptative Utilisant un Modèle Prédictif : Applications à l'Imagerie Cardiaque par Résonance Magnétique en Sang Noir et en Systole. Journée Claude Huriet, Dec 2008, Nancy, France. <hal-00351295>
  • Damien Mandry, Béatrice Chevaillier, Yannick Ponvianne, Jean-Luc Collette, Marie-Agnès Galloy, et al.. Segmentation fonctionnelle rénale semi-automatique par quantification vectorielle de séries dynamiques en IRM. JFR 2008, Oct 2008, Paris, France. 2008. <hal-00351611>
  • Damien Mandry, Béatrice Chevaillier, Jean-Luc Collette, Marie-Agnès Galloy, Yannick Ponvianne, et al.. Functional semi-automated segmentation of renal DCE-MRI sequences using vector quantization. ESMRMB 08, Oct 2008, Valencia, Spain. pp.CD-ROM Proceedings, 2008. <hal-00351433>
  • Béatrice Chevaillier, Yannick Ponvianne, Jean-Luc Collette, Damien Mandry, Michel Claudon, et al.. Functional Semi-Automated Segmentation of Renal DCE-MRI Sequences. ICASSP 2008, Apr 2008, Las Vegas, United States. pp.525-528, 2008. <hal-00276131>
  • Julien Oster, Olivier Pietquin, Gilles Bosser, Jacques Felblinger. Adaptive RR Prediction for Cardiac MRI. ICASSP 2008, Apr 2008, Las Vegas, United States. pp.513-516, 2008. <hal-00276137>
  • Matthieu Geist, Olivier Pietquin, Gabriel Fricout. Online Bayesian Kernel Regression from Nonlinear Mapping of Observations. MLSP 2008, Oct 2008, Cancun, Mexico. pp.309-314, 2008, <10.1109/MLSP.2008.4685498>. <hal-00335052>
  • Béatrice Chevaillier, Damien Mandry, Yannick Ponvianne, Jean-Luc Collette, Michel Claudon, et al.. Functional semi-automated segmentation of renal DCE-MRI sequences using a Growing Neural Gas algorithm. EUSIPCO'08, Aug 2008, Lausanne, Switzerland. Proceedings on CDROM (5 p.), 2008. <hal-00327613>
  • Olivier Pietquin. Un Cadre Probabiliste pour l'Optimisation des Systèmes de Dialogue. 4th International Conference on Sciences of Electronic, Technologies of Information and Telecommunications (SETIT 2007), Mar 2007, Hammamet, Tunisie. Proceedings on CDROM (8 p.), 2007. <hal-00252042>
  • Julien Oster, Freddy Odile, Gilles Bosser, Olivier Pietquin, Claude Pasquier, et al.. Adaptive Prediction of RR interval for online MR parameters changes. Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2007), May 2007, Berlin, Germany. <hal-00280097>
  • Olivier Lemon, Olivier Pietquin. Machine Learning for Spoken Dialogue Systems. European Conference on Speech Communication and Technologies (Interspeech'07), Aug 2007, Anvers, Belgium. pp.2685-2688, 2007. <hal-00216035>
  • Virginie Galtier, Olivier Pietquin, Stéphane Vialle. AdaBoost Parallelization on PC Clusters with Virtual Shared Memory for Fast Feature Selection. IEEE International Conference on Signal Processing and Communication, Nov 2007, Dubai, United Arab Emirates. pp.165-168, 2007. <hal-00216041>
  • Olivier Pietquin. Learning to ground in spoken dialogue systems. 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr 2007, Honolulu, HI, United States. 4 (IV), pp.165-168, 2007, <10.1109/ICASSP.2007.367189>. <hal-00213410>
  • Olivier Pietquin. Consistent Goal-Directed User Model for Realistic Man-Machine Task-Oriented Spoken Dialogue Simulation. 7th IEEE International Conference on Multimedia and Expo, Jul 2006, Toronto, Canada. pp.425-428, 2006, <10.1109/ICME.2006.262563>. <hal-00215968>
  • Olivier Pietquin, Thierry Dutoit. Dynamic Bayesian Networks for NLU Simulation with Application to Dialog Optimal Strategy Learning. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), Jul 2006, Toulouse, France. I, pp.49-52, 2006. <hal-00216013>
  • Olivier Pietquin. Machine Learning for Spoken Dialogue Management: An Experiment with Speech-Based Database Querying. The 12th International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA 2006), Sep 2006, Varna, Bulgaria. Springer Berlin / Heidelberg, 4183, pp.172-180, 2006, Lecture Notes in Computer Science. <10.1007/11861461_19>. <hal-00208016>

Brevet5 documents

  • Gari Clifford, Julien Oster, Olivier Pietquin, Matthieu Geist. PERIODIC ARTIFACT REDUCTION FROM BIOMEDICAL SIGNALS. France, Patent n° : WO/2013/052944. 2013. <hal-00869739>
  • Jean-Pierre Morard, Olivier Pietquin, Stéphane Vialle. METHOD FOR THE SEGMENTATION ENCODING OF AN IMAGE. N° de brevet: WO/2010/072983. 2010. <hal-00554405>
  • Jean-Pierre Morard, Stéphane Vialle, Olivier Pietquin, Virginie Galtier. METHOD FOR BROADCASTING VIDEO DATA SEQUENCES BY A SERVER TO A CLIENT TERMINAL. France, N° de brevet: WO/2009/034275. 2009. <hal-00397253>
  • Olivier Pietquin. A METHOD OF RECOGNIZING A MOTION PATTERN OF AN OBJECT. France, Patent n° : EP1904951. 2008, pp.18. <hal-00280122>
  • Olivier Pietquin, Vasanth Philomin. METHOD OF DETERMINING MOTION-RELATED FEATURES AND METHOD OF PERFORMING MOTION CLASSIFICATION. France, Patent n° : WO2008139399. 2008, pp.32. <hal-00343573>

Chapitre d'ouvrage5 documents

  • Simon Keizer, Stéphane Rossignol, Senthilkumar Chandramohan, Olivier Pietquin. User Simulation in the Development of Statistical Spoken Dialogue Systems. Oliver Lemon, Olivier Pietquin. Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces, Springer, pp.39-73, 2012. <hal-00771701>
  • Olivier Pietquin. Natural Language and Dialogue Processing. Jean-Philippe Thiran, Hervé Bourlard, Ferran Marqués. Multi-modal signal processing: methods and techniques to build multimodal interactive systems, Elsevier Science & Technology Books, 61-90 (Chapter 4), 2010. <hal-00471284>
  • Béatrice Chevaillier, Jean-Luc Collette, Damien Mandry, Michel Claudon, Olivier Pietquin. Functional semi-automated segmentation of renal DCE-MRI sequences using a Growing Neural Gas algorithm. Ashraf A. Zaher. Recent Advances in Signal Processing, IN-TECH Education and Publishing, pp.69-80, 2009. <hal-00468723>
  • Olivier Pietquin. Machine Learning Methods for Spoken Dialogue Simulation and Optimization. Abdelhamid Mellouk, Abdennacer Chebira. Machine Learning, IN-TECH, pp.167-184, 2009. <hal-00436911>
  • Olivier Pietquin. Optimising Spoken Dialogue Strategies within the Reinforcement Learning Paradigm. Reinforcement Learning, Theory and Applications, I-Tech Education and Publishing, Vienna, Austria, pp.239-256, 2008. <hal-00255906>

Rapport3 documents

  • Olivier Pietquin, Helen Hastie, Srinivan Janarthanam, Simon Keizer, Ghislain Putois, et al.. Annotated Data Archive. 2011. <hal-00652847>
  • Filip Jurcicek, Milica Gašić, Steve Young, Ghislain Putois, Romain Laroche, et al.. Online adaptation of dialogue systems. 2011. <hal-00652841>
  • Stéphane Rossignol, Srinivan Janarthanam, Xingkun Liu, Olivier Pietquin, Michel Ianotto. User simulations of different types of Appointment Scheduling and Self-Help user. 2011. <hal-00652850>

HDR1 document

  • Olivier Pietquin. De l'Apprentissage Statistique pour le Contrôle Optimal et le Traitement du Signal. Apprentissage [cs.LG]. Université Paul Sabatier - Toulouse III, 2011. <tel-00652777>

Autre publication2 documents

  • Lucie Daubigney, Matthieu Geist, Olivier Pietquin. Apprentissage off-policy appliqué à un système de dialogue basé sur les PDMPO. (Référence à supprimer). 2012, pp.1-8. <hal-00656997>
  • Olivier Pietquin, Stéphane Dupont. Incorporating Laughter into Human-Avatar Interactions: Research and Evaluation - The ILHAIRE project. IEEE SLTC News Letter. 2011. <hal-00652819>

Ouvrage (y compris édition critique et traduction)1 document

  • Oliver Lemon, Olivier Pietquin. Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces. Springer, 177p., 2012. <hal-00756740>