Philippe Preux
Professeur des universités
CNU : SECTION 27 - INFORMATIQUE
Laboratoire / équipe
Publications
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"citationFull_s":"Timothée Mathieu, Philippe Preux. Statistical comparison in empirical computer science with minimal computation usage. <i>ACM REP '24: ACM Conference on Reproducibility and Replicability</i>, Jun 2024, Rennes, France. pp.20-24, <a target=\"_blank\" href=\"https://dx.doi.org/10.1145/3641525.3663618\">⟨10.1145/3641525.3663618⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-04718314v1\">⟨hal-04718314⟩</a>",
"title_s":["Statistical comparison in empirical computer science with minimal computation usage"],
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"citationFull_s":"Alena Shilova, Thomas Delliaux, Philippe Preux, Bruno Raffin. Learning HJB Viscosity Solutions with PINNs for Continuous-Time Reinforcement Learning. RR-9541, Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189; Univ. Lille, CNRS, Centrale Lille, Inria UMR 9189 - CRIStAL,INRIA Lille Nord Europe, Villeneuve d’Ascq, France; Univ. Grenoble Alps, CNRS, Inria, Grenoble INP, LIG, 38000 Grenoble, France. 2024, pp.1-30. <a target=\"_blank\" href=\"https://inria.hal.science/hal-04445160v1\">⟨hal-04445160⟩</a>",
"title_s":["Learning HJB Viscosity Solutions with PINNs for Continuous-Time Reinforcement Learning"],
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"citationFull_s":"Eduardo Charles Vasconcellos, Ronald M Sampaio, André P D Araújo, Esteban Walter Gonzales Clua, Philippe Preux, et al.. Reinforcement-learning robotic sailboats: simulator and preliminary results. <i>NeurIPS 2023 Workshop on Robot Learning Workshop: Pretraining, Fine-Tuning, and Generalization with Large Scale Models</i>, Dec 2023, New Orelans, United States. <a target=\"_blank\" href=\"https://inria.hal.science/hal-04395990v1\">⟨hal-04395990⟩</a>",
"title_s":["Reinforcement-learning robotic sailboats: simulator and preliminary results"],
"authFullName_s":["Eduardo Charles Vasconcellos","Ronald M Sampaio","André P D Araújo","Esteban Walter Gonzales Clua","Philippe Preux","Raphael Guerra","Luiz M G Gonçalves","Luis Martí","Hernan Lira","Nayat Sanchez-Pi"],
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"title_s":["Revisiting Continuous-Time Reinforcement Learning. A Study of HJB Solvers Based on PINNs and FEMs"],
"authFullName_s":["Alena Shilova","Thomas Delliaux","Philippe Preux","Bruno Raffin"],
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"citationFull_s":"Patrick Saux, Pierre Bauvin, Violeta Raverdy, Julien Teigny, Hélène Verkindt, et al.. Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study. <i>The Lancet Digital Health</i>, 2023, <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/S2589-7500(23)00135-8\">⟨10.1016/S2589-7500(23)00135-8⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04192198v1\">⟨hal-04192198⟩</a>",
"title_s":["Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study","Développement et validaiton d'un modèle d'apprentissage automatique interprétable pour la prédiction de la trajectoire de poids à 5 ans après chirurgie bariatrique : une étude rétrospective SOPHIA d'une cohorte multinationale"],
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"citationFull_s":"André P D Araújo, Ganadev Prajapathy Chandrasekharan, Phillipe Preux, Esteban Walter Gonzalez Clua, Eduardo Charles Vasconcellos, et al.. Vision of the Seas: Open Visual Perception Framework for Autonomous Sailing Vessels. <i>The 30th International Conference on Systems, Signals and Image Processing, IWSSIP 2023</i>, IEEE; Faculty of electrical engineering and information technologies - Skopje, Jun 2023, Ohrid, Republic of Macedonia, Macedonia. pp.5, <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/IWSSIP58668.2023.10180295\">⟨10.1109/IWSSIP58668.2023.10180295⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04163513v1\">⟨hal-04163513⟩</a>",
"title_s":["Vision of the Seas: Open Visual Perception Framework for Autonomous Sailing Vessels","Vision of the Seas : cadre ouvert de perception visuelle pour les voiliers autonomes"],
"authFullName_s":["André P D Araújo","Ganadev Prajapathy Chandrasekharan","Phillipe Preux","Esteban Walter Gonzalez Clua","Eduardo Charles Vasconcellos","Luiz Marcos"],
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"citationFull_s":"Pierre Erbacher, Philippe Preux, Jian-Yun Nie, Laure Soulier. Augmentation de jeux de données RI pour la recherche conversationnelle à initiative mixte. <i>18e Conférence en Recherche d'Information et Applications -- 16e Rencontres Jeunes Chercheurs en RI -- 30e Conférence sur le Traitement Automatique des Langues Naturelles -- 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues</i>, Jun 2023, Paris, France. pp.37-58. <a target=\"_blank\" href=\"https://hal.science/hal-04131553v1\">⟨hal-04131553⟩</a>",
"title_s":["Augmentation de jeux de données RI pour la recherche conversationnelle à initiative mixte"],
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"citationFull_s":"Clémence Rozwag, Franck Valentini, Anne Cotten, Xavier Demondion, Philippe Preux, et al.. Elbow trauma in children: development and evaluation of radiological artificial intelligence models. <i>Research in Diagnostic and Interventional Imaging</i>, 2023, 6, <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.redii.2023.100029\">⟨10.1016/j.redii.2023.100029⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04244410v1\">⟨hal-04244410⟩</a>",
"title_s":["Elbow trauma in children: development and evaluation of radiological artificial intelligence models"],
"authFullName_s":["Clémence Rozwag","Franck Valentini","Anne Cotten","Xavier Demondion","Philippe Preux","Thibaut Jacques"],
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"citationFull_s":"Hector Kohler, Riad Akrour, Philippe Preux. Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning. RR-9503, Inria Lille Nord Europe - Laboratoire CRIStAL - Université de Lille. 2023. <a target=\"_blank\" href=\"https://hal.science/hal-04060986v1\">⟨hal-04060986⟩</a>",
"title_s":["Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning"],
"authFullName_s":["Hector Kohler","Riad Akrour","Philippe Preux"],
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"citationFull_s":"Romain Gautron, Emilio J Padrón, Philippe Preux, Julien Bigot, Odalric-Ambrym Maillard, et al.. Learning crop management by reinforcement: gym-DSSAT. <i>AIAFS 2023 - 2nd AAAI Workshop on AI for Agriculture and Food Systems</i>, Feb 2023, Washignton DC, United States. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03976393v1\">⟨hal-03976393⟩</a>",
"title_s":["Learning crop management by reinforcement: gym-DSSAT"],
"authFullName_s":["Romain Gautron","Emilio J Padrón","Philippe Preux","Julien Bigot","Odalric-Ambrym Maillard","Gerrit Hoogenboom","Julien Teigny"],
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"title_s":["Soft Action Priors: Towards Robust Policy Transfer"],
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"citationFull_s":"Laure Soulier, Pierre Erbacher, Thomas Gerald, Hanane Djeddal, Jian-Yun Nie, et al.. Recherche d'information conversationnelle. <i>18e Conférence en Recherche d'Information et Applications, 16e Rencontres Jeunes Chercheurs en RI, 30e Conférence sur le Traitement Automatique des Langues Naturelles, 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues</i>, 2023, Paris, France. pp.36-36. <a target=\"_blank\" href=\"https://hal.science/hal-04208587v1\">⟨hal-04208587⟩</a>",
"title_s":["Recherche d'information conversationnelle"],
"authFullName_s":["Laure Soulier","Pierre Erbacher","Thomas Gerald","Hanane Djeddal","Jian-Yun Nie","Philippe Preux"],
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"title_s":["Better state exploration using action sequence equivalence"],
"authFullName_s":["Nathan Grinsztajn","Toby Johnstone","Johan Ferret","Philippe Preux"],
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"citationFull_s":"Riccardo Della Vecchia, Alena Shilova, Philippe Preux, Riad Akrour. Entropy Regularized Reinforcement Learning with Cascading Networks. [Research Report] 7003, Inria Lille Nord Europe - Laboratoire CRIStAL - Université de Lille. 2022, pp.16. <a target=\"_blank\" href=\"https://hal.science/hal-03793130v1\">⟨hal-03793130⟩</a>",
"title_s":["Entropy Regularized Reinforcement Learning with Cascading Networks"],
"authFullName_s":["Riccardo Della Vecchia","Alena Shilova","Philippe Preux","Riad Akrour"],
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"citationRef_s":"<i>Computers and Electronics in Agriculture</i>, 2022, 200, pp.107182. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.compag.2022.107182\">⟨10.1016/j.compag.2022.107182⟩</a>",
"citationFull_s":"Romain Gautron, Odalric-Ambryn Maillard, Philippe Preux, Marc Corbeels, Régis Sabbadin. Reinforcement learning for crop management support: Review, prospects and challenges. <i>Computers and Electronics in Agriculture</i>, 2022, 200, pp.107182. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.compag.2022.107182\">⟨10.1016/j.compag.2022.107182⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04688044v1\">⟨hal-04688044⟩</a>",
"title_s":["Reinforcement learning for crop management support: Review, prospects and challenges"],
"authFullName_s":["Romain Gautron","Odalric-Ambryn Maillard","Philippe Preux","Marc Corbeels","Régis Sabbadin"],
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"citationFull_s":"Romain Gautron, Odalric-Ambrym Maillard, Philippe Preux, Marc Corbeels, Régis Sabbadin. Reinforcement Learning for crop management. <i>Computers and Electronics in Agriculture</i>, 2022, 200, pp.107182. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.compag.2022.107182\">⟨10.1016/j.compag.2022.107182⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03834290v1\">⟨hal-03834290⟩</a>",
"title_s":["Reinforcement Learning for crop management"],
"authFullName_s":["Romain Gautron","Odalric-Ambrym Maillard","Philippe Preux","Marc Corbeels","Régis Sabbadin"],
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"citationFull_s":"Romain Gautron, Emilio J. Padrón, Philippe Preux, Julien Bigot, Odalric-Ambrym Maillard, et al.. gym-DSSAT: a crop model turned into a Reinforcement Learning environment. [Research Report] RR-9460, Inria Lille. 2022, pp.31. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03711132v4\">⟨hal-03711132v4⟩</a>",
"title_s":["gym-DSSAT: a crop model turned into a Reinforcement Learning environment","gym-DSSAT : un modèle de cultures converti en un environnement d’apprentissage par renforcement"],
"authFullName_s":["Romain Gautron","Emilio J. Padrón","Philippe Preux","Julien Bigot","Odalric-Ambrym Maillard","David Emukpere"],
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"citationFull_s":"Pierre Schegg, Jérémie Dequidt, Eulalie Coevoet, Edouard Leurent, Rémi Sabatier, et al.. Automated planning for robotic guidewire navigation in the coronary arteries. <i>Robosoft 2022 - International Conference on Soft Robotics</i>, Apr 2022, Edimbourg, United Kingdom. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03778352v1\">⟨hal-03778352⟩</a>",
"title_s":["Automated planning for robotic guidewire navigation in the coronary arteries"],
"authFullName_s":["Pierre Schegg","Jérémie Dequidt","Eulalie Coevoet","Edouard Leurent","Rémi Sabatier","Philippe Preux","Christian Duriez"],
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"citationFull_s":"Nathalie Mitton, Ludovic Brossard, Tassadit Bouadi, Frédérick Garcia, Romain Gautron, et al.. Foundations and state of the art. <i>Agriculture and Digital Technology: Getting the most out of digital technology to contribute to the transition to sustainable agriculture and food systems</i>, 6, <a target=\"_blank\" href=\"https://www.inria.fr/en/white-paper-inria-agriculture-digital-technology\">INRIA</a>, pp.30-75, 2022, White book Inrira. <a target=\"_blank\" href=\"https://hal.inrae.fr/hal-03609470v2\">⟨hal-03609470v2⟩</a>",
"title_s":["Foundations and state of the art"],
"authFullName_s":["Nathalie Mitton","Ludovic Brossard","Tassadit Bouadi","Frédérick Garcia","Romain Gautron","Nadine Hilgert","Dino Ienco","Christine Largouët","Evelyne Lutton","Véronique Masson","Roger Martin-Clouaire","Marie-Laure Mugnier","Pascal Neveu","Philippe Preux","Helene Raynal","Catherine Roussey","Alexandre Termier","Véronique Bellon Maurel"],
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"citationFull_s":"Etienne Ménager, Pierre Schegg, Elie Khairallah, Damien Marchal, Jérémie Dequidt, et al.. SofaGym: An open platform for Reinforcement Learning based on Soft Robot simulations. <i>Soft Robotics</i>, In press. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03778189v1\">⟨hal-03778189⟩</a>",
"title_s":["SofaGym: An open platform for Reinforcement Learning based on Soft Robot simulations"],
"authFullName_s":["Etienne Ménager","Pierre Schegg","Elie Khairallah","Damien Marchal","Jérémie Dequidt","Philippe Preux","Christian Duriez"],
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"citationRef_s":"<i>IEEE Cluster 2021</i>, Sep 2021, Portland / Virtual, United States",
"citationFull_s":"Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot, Philippe Preux. READYS: A Reinforcement Learning Based Strategy for Heterogeneous Dynamic Scheduling. <i>IEEE Cluster 2021</i>, Sep 2021, Portland / Virtual, United States. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03313229v1\">⟨hal-03313229⟩</a>",
"title_s":["READYS: A Reinforcement Learning Based Strategy for Heterogeneous Dynamic Scheduling"],
"authFullName_s":["Nathan Grinsztajn","Olivier Beaumont","Emmanuel Jeannot","Philippe Preux"],
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"citationFull_s":"Nathan Grinsztajn, Philippe Preux, Edouard Oyallon. Low-Rank Projections of GCNs Laplacian. <i>ICLR 2021 Workshop GTRL</i>, May 2021, Online, France. <a target=\"_blank\" href=\"https://hal.science/hal-03248056v1\">⟨hal-03248056⟩</a>",
"title_s":["Low-Rank Projections of GCNs Laplacian"],
"authFullName_s":["Nathan Grinsztajn","Philippe Preux","Edouard Oyallon"],
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"citationRef_s":"<i>ICLR 2021 - International Conference on Learning Representations</i>, May 2021, Vienna / Virtual, Austria",
"citationFull_s":"Yannis Flet-Berliac, Reda Ouhamma, Odalric-Ambrym Maillard, Philippe Preux. Learning Value Functions in Deep Policy Gradients using Residual Variance. <i>ICLR 2021 - International Conference on Learning Representations</i>, May 2021, Vienna / Virtual, Austria. <a target=\"_blank\" href=\"https://hal.science/hal-02964174v3\">⟨hal-02964174v3⟩</a>",
"title_s":["Learning Value Functions in Deep Policy Gradients using Residual Variance"],
"authFullName_s":["Yannis Flet-Berliac","Reda Ouhamma","Odalric-Ambrym Maillard","Philippe Preux"],
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"citationFull_s":"Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist. Adversarially Guided Actor-Critic. <i>ICLR 2021 - International Conference on Learning Representations</i>, May 2021, Vienna / Virtual, Austria. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03167169v1\">⟨hal-03167169⟩</a>",
"title_s":["Adversarially Guided Actor-Critic"],
"authFullName_s":["Yannis Flet-Berliac","Johan Ferret","Olivier Pietquin","Philippe Preux","Matthieu Geist"],
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"citationRef_s":"<i>IEEE SSCI 2020 - Symposium Series on Computational Intelligence</i>, Dec 2020, Canberra / Virtual, Australia",
"citationFull_s":"Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot, Philippe Preux. Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling. <i>IEEE SSCI 2020 - Symposium Series on Computational Intelligence</i>, Dec 2020, Canberra / Virtual, Australia. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03028981v1\">⟨hal-03028981⟩</a>",
"title_s":["Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling"],
"authFullName_s":["Nathan Grinsztajn","Olivier Beaumont","Emmanuel Jeannot","Philippe Preux"],
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