Publications

@article{benmbarek26a,
  author = {Ben M'Barek, I. and Holmström, E. and Ceccaldi, P.-F. and Michel, J. and Vitrou, J. and Le Pennec, E. and Stirnemann, J.},
  title = {Analyse automatisée de la cardiotocographie en intrapartum : état des lieux, controverses et perspectives},
  journal = {Gynécologie Obstétrique Fertilité \& Sénologie},
  number = {6},
  volume = {54},
  pages = {342--349},
  year = {2026},
  doi = {10.1016/j.gofs.2026.01.006}
}

@article{benmbarek26b,
  author = {Ben M'Barek, I. and Ben M'Barek, B. and Jauvion, G. and Whelehan, V. and Papageorghiou, A. and Le Pennec, E. and Stirnemann, J.},
  title = {Randomised study of human machine collaboration for cardiotocography interpretation during labour},
  journal = {npj Digital Medicine},
  number = {1},
  volume = {9},
  pages = {365},
  year = {2026},
  doi = {10.1038/s41746-026-02556-y}
}

@inproceedings{kamal26a,
  author = {Kamal, I. and Park, J. and Vanel, J.-C. and Luton, D. and Debras, E. and Le Pennec, E. and Pierangelo, A.},
  title = {Deep learning-based semantic segmentation of cervical tissue in Mueller polarimetric colposcopy images for preterm risk assessment},
  booktitle = {Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2026},
  series = {Proc. SPIE},
  year = {2026},
  doi = {10.1117/12.3079701}
}

@inproceedings{kamal26b,
  author = {Kamal, I. and Park, J. and Vanel, J.-C. and Luton, D. and Debras, E. and Gandji, A. and Le Pennec, E. and Pierangelo, A.},
  title = {Towards optical biomarkers of preterm birth: deep learning segmentation of cervical tissue using Mueller matrix polarimetry},
  booktitle = {Unconventional Optical Imaging V},
  series = {Proc. SPIE},
  year = {2026},
  doi = {10.1117/12.3100057}
}

@inproceedings{alaoafolabi26,
  author = {Alao Afolabi, S. and Hélou-de la Grandière, P. and Ben Jelloul, M. and Thoury, M. and Le Pennec, E. and Cohen, S. X.},
  title = {Nouveaux outils d'apprentissage statistiques pour l'imputation et le pronostic en conservation : Exploitation de la base NOIRœS dans le projet M(IA)²},
  booktitle = {Expériences partagées : enjeux, solutions et perspectives pour la conservation préventive des matériaux modernes et contemporains},
  address = {Charenton-le-Pont},
  year = {2026}
}

@article{gaudfernau24,
  author = {Gaudfernau, F. and Blondiaux, E. and Allassonnière, S. and Le Pennec, E.},
  title = {Wavelet-Based Multiscale Flow For Realistic Image Deformation in the Large Diffeomorphic Deformation Model Framework},
  journal = {Journal of Mathematical Imaging and Vision},
  number = {2},
  volume = {67},
  pages = {10},
  year = {2025},
  doi = {10.1007/s10851-024-01219-5},
  eprint = {2501.18211},
  archiveprefix = {arXiv}
}

@article{benmarek25,
  author = {Menzhulina, E. and Vitrou, J. and Merrer, J. and Holmström, E. and Ait Amara, I. and Le Pennec, E. and Stirnemann, J. and Ben M'Barek, I.},
  title = {Integration of clinical features in a computerized cardiotocography system to predict severe newborn acidemia},
  journal = {European Journal of Obstetrics \& Gynecology and Reproductive Biology},
  volume = {307},
  pages = {78-83},
  year = {2025},
  doi = {10.1016/j.ejogrb.2025.01.030}
}

@article{benmarek24,
  author = {Ben M'Barek, I. and Jauvion, G. and Merrer, J. and Koskas, M. and Sibony, O. and Ceccaldi, P.-F. and Le Pennec, E. and Stirnemann, J.},
  title = {DeepCTG® 2.0: Development and validation of a deep learning model to detect neonatal acidemia from cardiotocography during labor},
  journal = {Computers in Biology and Medicine},
  volume = {184},
  pages = {109448},
  year = {2025},
  doi = {10.1016/j.compbiomed.2024.109448}
}

@inproceedings{benmarek25c,
  author = {I. {Ben M'Barek} and B. {Ben M'Barek} and G. Jauvion and V. Whelehan and A. Papageorghiou and E. {Le Pennec} and J. Stirnemann},
  title = {Human-machine collaboration in intrapartum care: A randomized study of computerized assistance for clinical cardiotocography interpretation and prediction of perinatal acidemia},
  booktitle = {Gynécologie Obstétrique Fertilité \& Sénologie},
  number = {11},
  volume = {53},
  pages = {605-606},
  year = {2025},
  doi = {10.1016/j.gofs.2025.09.030}
}

@inproceedings{forghieri25,
  author = {Forghieri, O. and Carlinet, Y. and Hyon, E. and Le Pennec, E. and Perrot, N.},
  title = {Faster Latency Constrained Service Placement in Edge Computing with Deep Reinforcement Learning Methods},
  booktitle = {TX4NETs Workshop, IFIP NETWORKING Conference},
  year = {2025}
}

@inproceedings{benmarek25b,
  author = {Ben M'Barek, I. and Jauvion, G. and Stirnemann, J. and Le Pennec, E.},
  title = {DeepCTG® 2.0: development and validation of a deep learning model to detect fetal acidemia from cardiotocography during labor},
  booktitle = {European Journal of Obstetrics \& Gynecology and Reproductive Biology},
  number = {S1},
  volume = {313},
  pages = {114431},
  year = {2025},
  doi = {10.1016/j.ejogrb.2025.114431}
}

@inproceedings{clavier24c,
  author = {Clavier, P. and Shi, L. and Le Pennec, E. and Mazumdar, E. and Wierman, A. and Geist, M.},
  title = {Near-Optimal Distributionally Robust RL with General $L_p$ Norms},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  volume = {37},
  pages = {1750--1810},
  year = {2024},
  doi = {10.52202/079017-0056}
}

@inproceedings{clavier24b,
  author = {Clavier, P. and Rachelson, E. and Le Pennec, E. and Geist, M.},
  title = {Bootstrapping Expectiles in Reinforcement Learning},
  booktitle = {17th European Workshop on Reinforcement Learning},
  year = {2024},
  eprint = {2406.04081},
  archiveprefix = {arXiv}
}

@inproceedings{Forghieri24b,
  author = {Forghieri, O. and Castel, H. and Hyon, E. and Le Pennec, E.},
  title = {State Abstraction Discovery from Progressive Disaggregation Methods},
  booktitle = {17th European Workshop on Reinforcement Learning},
  year = {2024}
}

@inproceedings{clavier24,
  author = {Clavier, P. and Le Pennec, E. and Geist, M.},
  title = {Towards Minimax Optimality of Model-based Robust Reinforcement Learning},
  booktitle = {Conference on Uncertainty in Artificial Intelligence (UAI)},
  series = {PMLR},
  volume = {244},
  pages = {820--855},
  year = {2024},
  eprint = {2302.05372},
  archiveprefix = {arXiv}
}

@inproceedings{Forghieri24,
  author = {Forghieri, O. and Castel, H. and Hyon, E. and Le Pennec, E.},
  title = {Progressive State Space Disaggregation for Infinite Horizon Dynamic Programming},
  booktitle = {International Conference on Automated Planning and Scheduling},
  volume = {34},
  pages = {221--229},
  year = {2024},
  doi = {10.1609/icaps.v34i1.31479}
}

@inproceedings{Forghieri24c,
  author = {Forghieri, O. and Castel, H. and Le Pennec, E. and Hyon, E.},
  title = {Progressive state space disaggregation for dynamic programming},
  booktitle = {25e Congrès Annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF)},
  address = {Amiens},
  year = {2024}
}

@misc{alaoafolabi24,
  author = {Alao Afolabi, S. and Hélou-de la Grandière, P. and Thoury, M. and Perruchini, E. and Le Pennec, E. and Cohen, S. X.},
  title = {Nouveaux outils d'apprentissage statistiques pour l'imputation et le pronostic en conservation},
  year = {2024},
  month = {3}
}

@patent{allassonniere21,
  author = {Allassonnière, S. and Besson, R. and Le Pennec, E.},
  title = {Real-time diagnosis aid method and decision-support for medical diagnosis to a user of a medical system},
  number = {US11881309B2},
  year = {2024}
}

@article{stirnemann23,
  author = {Stirnemann, J. and Besson, R. and Spaggiari, E. and Rojo, S. and Logé, F. and Peyro-Saint-Paul, H. and Allassonnière, S. and Le Pennec, E. and Hutchinson, C. and Sebire, N.J. and Ville, Y.},
  title = {Development and clinical validation of real-time artificial intelligence diagnostic companion for fetal ultrasound examination},
  journal = {Ultrasound in Obstetrics \& Gynecology},
  number = {3},
  volume = {62},
  pages = {353-360},
  year = {2023},
  doi = {10.1002/uog.26242}
}

@inproceedings{monchot23,
  author = {Monchot, P. and Coquelin, L. and Petit, S. and Marmin, S. and Le Pennec, E. and Fischer, N.},
  title = {Input uncertainty propagation through trained neural networks},
  booktitle = {International Conference on Machine Learning},
  year = {2023}
}

@inproceedings{gaudfernau23,
  author = {Gaudfernau, F. and Allassonnière, S. and Le Pennec, E.},
  title = {A multiscale algorithm for computing realistic image transformations in the LDDMM framework - Application to the modelling of fetal brain growth},
  booktitle = {SPIE Medical Imaging 2023: Image Processing},
  series = {Proc. SPIE},
  volume = {12464},
  pages = {1246404},
  year = {2023}
}

@inproceedings{gaudfernau23b,
  author = {Gaudfernau, F. and Allassonnière, S. and Le Pennec, E.},
  title = {Un algorithme multiéchelle pour déformer les objets de façon réaliste - application à la modélisation de la croissance du cerveau foetal},
  booktitle = {GRETSI},
  year = {2023}
}

@patent{Dhaou23p,
  author = {Dhaou, A. and Bertoncello, A. and Gourvénec, S. and Garnier, J. and Le Pennec, E.},
  title = {Procédé de contrôle d'un système et produit programme d'ordinateur associé},
  number = {FR3124868B1},
  note = {US patent application 18/575,664 (2024)},
  year = {2023}
}

@patent{Prenat19,
  author = {Prenat, M. and Le Pennec, E. and Berginc, G.},
  title = {Procédé de synthèse d'images},
  number = {FR3075438B1},
  year = {2023}
}

@inproceedings{stirnemann22,
  author = {Stirnemann, J. and Besson, R. and Spaggiari, E. and Rojo, S. and Logé, F. and Peyro-Saint-Paul, H. and Allassonnière, S. and Le Pennec, E. and Hutchinson, C. and Sebire, N.J. and Ville, Y.},
  title = {Clinical validation of a real‐time AI diagnostic companion for fetal ultrasound examination},
  booktitle = {Ultrasound in Obstetrics \& Gynecology},
  number = {S1},
  volume = {60},
  pages = {14-15},
  year = {2022}
}

@article{clavier22,
  author = {Clavier, P. and Allassonnière, S. and Le Pennec, E.},
  title = {Robust Reinforcement Learning with Distributional Risk-averse formulation},
  journal = {arXiv},
  year = {2022},
  eprint = {2206.06841},
  archiveprefix = {arXiv}
}

@inproceedings{Dhaou21,
  author = {Dhaou, A. and Bertoncello, A. and Gourvénec, S. and Garnier, J. and Le Pennec, E.},
  title = {Causal and Interpretable Rules for Time Series Analysis},
  booktitle = {Knowledge Discovery and Data Mining},
  pages = {2764–2772},
  year = {2021},
  doi = {10.1145/3447548.3467161}
}

@inproceedings{stirnemann21,
  author = {Stirnemann, J. and Besson, R. and Spaggiari, E. and Bourgon, N. and Rojo, S. and Logé, F. and Peyro-Saint-Paul, H. and Allassonnière, S. and Le Pennec, E. and Ville, Y.},
  title = {Description and clinical validation of a real-time AI diagnostic companion for fetal ultrasound examination},
  booktitle = {Ultrasound in Obstetrics \& Gynecology},
  number = {S1},
  volume = {58},
  pages = {169-170},
  year = {2021},
  doi = {10.1002/uog.24291}
}

@inproceedings{Besson21,
  author = {Besson, R. and Le Pennec, E. and Allassonnière, S.},
  title = {A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task},
  booktitle = {Proceedings of Entropy 2021: The Scientific Tool of the 21st Century},
  year = {2021},
  doi = {10.3390/entropy2021-09749}
}

@article{Loge21,
  author = {Logé, F. and Le Pennec, E. and Amadou-Boubacar, H.},
  title = {Intelligent Questionnaires Using Approximate Dynamic Programming},
  journal = {i-com},
  number = {3},
  volume = {19},
  pages = {227-237},
  year = {2020},
  doi = {10.1515/icom-2020-0022}
}

@inproceedings{LogeDSHealh20,
  author = {Logé, F. and Le Pennec, E. and Amadou-Boubacar, H.},
  title = {Challenging common bolus advisor for self-monitoring type-I diabetes patients using Reinforcement Learning},
  booktitle = {2020 KDD Workshop on Applied Data Science for Healthcare},
  year = {2020},
  eprint = {2007.11880},
  archiveprefix = {arXiv}
}

@inproceedings{LogeUCAI20,
  author = {Logé, F. and Le Pennec, E. and Amadou-Boubacar, H.},
  title = {Adaptive predictive-questionnaire by approximate dynamic programming},
  booktitle = {Workshop on User-Centered Artificial Intelligence (UCAI), Mensch und Computer 2020},
  year = {2020},
  doi = {10.18420/muc2020-ws111-264}
}

@inproceedings{BessonIcaart20,
  author = {Besson, R. and Le Pennec, E. and Spaggiari, E. and Neuraz, A. and Stirnemann, J. and Allassonnière, S.},
  title = {Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application},
  booktitle = {ICAART 2020},
  pages = {475--482},
  year = {2020},
  doi = {10.5220/0008938804750482}
}

@article{Besson19,
  author = {Besson, R. and Le Pennec, E. and Allassonnière, S.},
  title = {Learning from both experts and data},
  journal = {Entropy},
  number = {12},
  volume = {21},
  pages = {1208},
  year = {2019},
  doi = {10.3390/e21121208},
  eprint = {1910.09043},
  archiveprefix = {arXiv}
}

@article{nguyen19:_autom_inter_coron_mass_eject,
  author = {Nguyen, G. and Aunai, N. and Fontaine, D. and Le Pennec, E. and Van den Bossche, J. and Jeandet, A. and Bakkali, B. and Vignoli, L. and Regaldo-Saint Blancard, B.},
  title = {Automatic detection of Interplanetary Coronal Mass Ejections from in-situ data: a deep learning approach},
  journal = {The Astrophysical Journal},
  number = {2},
  volume = {874},
  pages = {145},
  year = {2019},
  doi = {10.3847/1538-4357/ab0d24},
  eprint = {1903.10780},
  archiveprefix = {arXiv}
}

@inproceedings{Levent19,
  author = {Levent, T. and Preux, Ph. and Le Pennec, E. and Badosa, J. and Henri, G. and Bonnassieux, Y.},
  title = {Energy Management for Microgrids: a Reinforcement Learning Approach},
  booktitle = {IEEE ISGT Europe},
  pages = {1--5},
  year = {2019},
  doi = {10.1109/ISGTEurope.2019.8905538}
}

@inproceedings{Solelhac19,
  author = {Solelhac, G. and Brigham, M. and Bouchequet, P. and Andrillon, Th. and Chennaoui, M. and Le Pennec, E. and Rey, M. and Léger, D.},
  title = {Representation Of Polysomnography Recordings As Low Dimensional Trajectories},
  booktitle = {Sleep},
  volume = {42},
  pages = {A128},
  note = {33rd Annual Meeting of the Associated Professional Sleep Societies},
  year = {2019},
  doi = {10.1093/sleep/zsz067.314}
}

@inproceedings{Solelhac19b,
  author = {Solelhac, G. and Brigham, M. and Bouchequet, P. and Andrillon, Th. and Chennaoui, M. and Le Pennec, E. and Rey, M. and Léger, D.},
  title = {Représentation d'enregistrements de polysomnographie en trajectoires de basses dimensions dans l'espace latent},
  booktitle = {Médecine du Sommeil},
  number = {1},
  volume = {16},
  pages = {56},
  year = {2019},
  doi = {10.1016/j.msom.2019.01.106}
}

@incollection{montuelle18:_pac,
  author = {Montuelle, L. and Le Pennec, E.},
  title = {PAC-Bayesian aggregation of affine estimators},
  booktitle = {Nonparametric Statistics (3rd ISNPS, Avignon, 2016)},
  editor = {Bertail, P. and Blanke, D. and Cornillon, P.-A. and Matzner-Løber, E.},
  series = {Springer Proceedings in Mathematics \& Statistics},
  publisher = {Springer},
  pages = {133--144},
  year = {2018},
  doi = {10.1007/978-3-319-96941-1_9},
  eprint = {1410.0661},
  archiveprefix = {arXiv}
}

@article{bergounioux18:_variat_method_tomog_recon_few_views,
  author = {Bergounioux, M. and Abraham, I. and Abraham, R. and Carlier, G. and Le Pennec, E. and Trélat, E.},
  title = {Variational Methods for Tomographic Reconstruction with Few Views},
  journaltitle = {Milan Journal of Mathematics},
  number = {2},
  volume = {86},
  pages = {157--200},
  year = {2018},
  doi = {10.1007/s00032-018-0285-1}
}

@article{gautier16:_adapt_estim_nonpar_random_coeff,
  author = {Gautier, E. and Le Pennec, E.},
  title = {Adaptive Estimation in the Nonparametric Random Coefficients Binary Choice Model by Needlet Thresholding},
  journal = {EJS},
  number = {1},
  volume = {12},
  pages = {277--320},
  year = {2018},
  doi = {10.1214/17-EJS1383},
  eprint = {1106.3503},
  archiveprefix = {arXiv}
}

@inproceedings{nguyen18,
  author = {Nguyen, G. and Aunai, N. and Fontaine, D. and Le Pennec, E. and Jeandet, A.},
  title = {Automatic detection of {ICMEs} at 1 {AU}: a deep learning approach},
  booktitle = {AGU Fall Meeting 2018},
  address = {Washington D.C.},
  note = {Abstract SM31D-3527},
  year = {2018}
}

@inproceedings{Solelhac18nouvelle,
  author = {Solelhac, G. and Brigham, M. and Marini, C. and Bouchequet, P. and Chennaoui, M. and Le Pennec, E. and Léger, D.},
  title = {Une nouvelle représentation de la polysomnographie par une technique de machine learning nonsupervisée},
  booktitle = {Médecine du Sommeil},
  number = {1},
  volume = {15},
  pages = {49},
  note = {Résumés du Congrès du Sommeil. Marseille, 23-25 novembre 2017},
  year = {2018},
  doi = {10.1016/j.msom.2018.01.132}
}

@book{cornillon18:_r,
  author = {Cornillon, P.-A. and Guyader, A. and Husson, F. and Jégou, N. and Josse, J. and Klutchnikoff, N. and Le Pennec, E. and Matzner-Løber, E. and Rouvière, L. and Thieurmel, B.},
  title = {R pour la statistique et la science des données},
  publisher = {PUR},
  year = {2018},
  isbn = {978-2-7535-7573-8}
}

@article{Besson18,
  author = {Besson, R. and Le Pennec, E. and Allassonnière, S. and Stirnemann, J. and Spaggiari, E. and Neuraz, A.},
  title = {A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task},
  journaltitle = {Preprint},
  year = {2018},
  eprint = {1811.10112},
  archiveprefix = {arXiv}
}

@article{Bergounioux18,
  author = {Bergounioux, M. and Le Pennec, E. and Trélat, E.},
  title = {Fractional-order variational numerical methods for tomographic reconstruction of binary images},
  journal = {Preprint},
  year = {2018}
}

@misc{nguyen18a,
  author = {Nguyen, G. and Fontaine, D. and Aunai, N. and Vandenbossche, J. and Jeandet, A. and Lemaitre, G. and Kégl, B. and Le Pennec, E.},
  title = {Machine learning methods to identify ICMEs automatically},
  year = {2018},
  month = {4}
}

@software{lepennec18:_ggwordcloud,
  author = {Le Pennec, E. and Slowikowski, K.},
  title = {ggwordcloud: A Word Cloud Geom for 'ggplot2'},
  year = {2018},
  doi = {10.32614/CRAN.package.ggwordcloud}
}

@inproceedings{BessonSfdS17,
  author = {Besson, R. and Le Pennec, E. and Allassonnière, S.},
  title = {Optimisation d'arbre de décision pour un problème de détection précoce d'anomalies foetales},
  booktitle = {Journée de la SFdS},
  address = {Avignon},
  year = {2017}
}

@article{Derman17,
  author = {Derman, E. and Le Pennec, E.},
  title = {Clustering and Model Selection via Penalized Likelihood for Different-sized Categorical Data Vectors},
  journal = {Preprint},
  year = {2017},
  eprint = {1709.02294},
  archiveprefix = {arXiv}
}

@article{massart16:_le_big,
  author = {Massart, P. and Le Pennec, E.},
  title = {Le « Big data » et les mathématiques},
  journaltitle = {A3 Magazine, Rayonnement du CNRS},
  year = {2016},
  month = {06}
}

@article{le16:_elarte,
  author = {Le Pennec, E.},
  title = {El arte de cortar las cabezas sin dañar las},
  journaltitle = {Revista del Profesor de Matemática},
  year = {2016}
}

@inproceedings{ThivSfdS15,
  author = {Thivin, S. and Le Pennec, E. and Prenat, M.},
  title = {Détection automatique de cibles sous-résolues},
  booktitle = {Journée de la SFdS},
  address = {Lille},
  year = {2015}
}

@article{montuelle12:_condit,
  author = {Montuelle, L. and Le Pennec, E.},
  title = {Mixture of Gaussian regressions model with logistic weights, a penalized maximum likelihood approach},
  journal = {Electron. J. Statist.},
  number = {1},
  volume = {8},
  pages = {1661-1695},
  year = {2014},
  doi = {10.1214/14-EJS939},
  eprint = {1304.2696},
  archiveprefix = {arXiv}
}

@article{cohen14:unsupseg,
  author = {Cohen, S. and Le Pennec, E.},
  title = {Unsupervised segmentation of hyperspectral images with spatialized {Gaussian} mixture model and model selection},
  journal = {OGST},
  number = {2},
  volume = {69},
  pages = {245--260},
  year = {2014},
  doi = {10.2516/ogst/2014013}
}

@inproceedings{MontSfdS14,
  author = {Montuelle, L. and Le Pennec, E.},
  title = {Agrégation PAC-bayésienne d'estimateurs par projection},
  booktitle = {Journée de la SFdS},
  address = {Rennes},
  year = {2014}
}

@inproceedings{ThivSfdS14,
  author = {Thivin, S. and Le Pennec, E. and Prenat, M.},
  title = {Détection de cibles dans des textures complexes, une approche par segmentation d'images en zones stationnaires},
  booktitle = {Journée de la SFdS},
  address = {Rennes},
  year = {2014}
}

@article{cohen12:_partit_based_condit_densit_estim,
  author = {Cohen, S. and Le Pennec, E.},
  title = {Partition-Based Conditional Density Estimation},
  journal = {ESAIM Probab. Stat.},
  volume = {17},
  pages = {672--697},
  year = {2013},
  doi = {10.1051/ps/2012017}
}

@inproceedings{MontSfdS13,
  author = {Montuelle, L. and Le Pennec, E.},
  title = {Régression gaussienne à poids logistiques et maximum de vraisemblance pénalisé},
  booktitle = {Journée de la SFdS},
  address = {Toulouse},
  year = {2013}
}

@thesis{le13:_HdR,
  author = {Le Pennec, E.},
  title = {Some (statistical) applications of Ockham's principle},
  institution = {Université Paris Sud},
  type = {HdR},
  year = {2013}
}

@article{cohen11:_condit_densit_estim_penal_likel_model,
  author = {Cohen, S. and Le Pennec, E.},
  title = {Conditional Density Estimation by Penalized Likelihood Model Selection},
  journal = {Preprint},
  year = {2013}
}

@techreport{gautier11:_adapt_estim_nonpar_random_coeff,
  author = {Gautier, E. and Le Pennec, E.},
  title = {Adaptive Estimation in the Nonparametric Random Coefficients Binary Choice Model by Needlet Thresholding (extended version)},
  institution = {Inria},
  year = {2013},
  eprint = {1106.3503},
  archiveprefix = {arXiv}
}

@article{le13:_lart,
  author = {Le Pennec, E.},
  title = {L'art de couper les têtes sans faire mal},
  journaltitle = {Mathématiques, l'explosion continue},
  year = {2013}
}

@article{kerkyachaian10:_radon,
  author = {Kerkyacharian, G. and Le Pennec, E. and Picard, D.},
  title = {Radon needlet thresholding},
  journal = {Bernoulli},
  number = {2},
  volume = {18},
  pages = {391--433},
  year = {2012},
  doi = {10.3150/10-BEJ340},
  eprint = {0908.2514},
  archiveprefix = {arXiv}
}

@article{dossal11:_bandel_image_estim_model_selec,
  author = {Dossal, Ch. and Le Pennec, E. and Mallat, S.},
  title = {Bandlet Image Estimation with Model Selection},
  journal = {Sig. Process.},
  number = {12},
  volume = {91},
  pages = {2743--2753},
  year = {2011},
  doi = {10.1016/j.sigpro.2011.01.013},
  eprint = {0809.3092},
  archiveprefix = {arXiv}
}

@article{bertrand11:_europ_ipanem_soleil,
  author = {Bertrand, L. and Languille, M.-A. and Cohen, S. and Robinet, L. and Gervais, C. and Leroy, S. and Bernard, D. and Le Pennec, E. and Josse, W. and Doucet, J. and Schöder, S.},
  title = {European research platform {IPANEMA} at the {SOLEIL} synchrotron for ancient and historical materials},
  journal = {J. Synchrotron Radiat.},
  number = {5},
  volume = {18},
  pages = {765--772},
  year = {2011},
  doi = {10.1107/S090904951102334X}
}

@article{bertin10:_adapt_dantiz,
  author = {Bertin, K. and Le Pennec, E. and Rivoirard, V.},
  title = {Adaptive {Dantzig} density estimation},
  journal = {Ann. Inst. H. Poincaré Probab. Statist.},
  number = {1},
  volume = {47},
  pages = {43--74},
  year = {2011},
  doi = {10.1214/09-AIHP351},
  eprint = {0905.0884},
  archiveprefix = {arXiv}
}

@inproceedings{cohen11:_segmen,
  author = {Cohen, S. and Le Pennec, E.},
  title = {Segmentation non supervisée d'image hyperspectrale par mélange de gaussiennes spatialisé},
  booktitle = {GRETSI 11},
  address = {Bordeaux},
  year = {2011}
}

@techreport{cohen11:_condit_densit_estim_penal_selec,
  author = {Cohen, S. and Le Pennec, E.},
  title = {Conditional Density Estimation by Penalized Likelihood Model Selection and Applications},
  institution = {INRIA},
  year = {2011},
  eprint = {1103.2021},
  archiveprefix = {arXiv}
}

@article{kerkyacharian10:_inver_radon_svd,
  author = {Kerkyacharian, G. and Kyriazis, G. and Le Pennec, E. and Petrushev, P. and Picard, D.},
  title = {Inversion of noisy {Radon} transform by SVD based needlets},
  journal = {Appl. Comput. Harmon. Anal.},
  number = {1},
  volume = {28},
  pages = {24--45},
  year = {2010},
  doi = {10.1016/j.acha.2009.06.001},
  eprint = {0809.3332},
  archiveprefix = {arXiv}
}

@article{autin10:_maxis_model_selec_estim,
  author = {Autin, F. and Le Pennec, E. and Loubes, J.-M. and Rivoirard, V.},
  title = {Maxisets for Model Selection},
  journal = {Constr. Approx.},
  number = {2},
  volume = {31},
  pages = {195--229},
  year = {2010},
  doi = {10.1007/s00365-009-9062-2},
  eprint = {0802.4192},
  archiveprefix = {arXiv}
}

@article{autin10:_thres,
  author = {Autin, F. and Le Pennec, E. and Tribouley, K.},
  title = {Thresholding methods to estimate the copula density},
  journal = {J. Multivariate Anal.},
  number = {1},
  volume = {101},
  pages = {200--222},
  year = {2010},
  doi = {10.1016/j.jmva.2009.07.009},
  eprint = {0802.2424},
  archiveprefix = {arXiv}
}

@inproceedings{salmon09:_nl_means,
  author = {Salmon, J. and Le Pennec, E.},
  title = {{NL-Means} and aggregation procedures},
  booktitle = {ICIP 09},
  pages = {2977--2980},
  address = {Cairo},
  year = {2009},
  doi = {10.1109/ICIP.2009.5414512}
}

@inproceedings{le09:_nl_means,
  author = {Le Pennec, E. and Salmon, J.},
  title = {An aggregator point of view on {NL-Means}},
  booktitle = {SPIE Wavelet XIII 09},
  address = {San Diego},
  year = {2009},
  doi = {10.1117/12.826881}
}

@inproceedings{le09:_agreg,
  author = {Salmon, J. and Le Pennec, E.},
  title = {Agrégation d'estimateurs pour le débruitage d'image},
  booktitle = {Journée de la SFdS},
  address = {Bordeaux},
  year = {2009}
}

@techreport{autin08:_thres,
  author = {Autin, F. and Le Pennec, E. and Tribouley, K.},
  title = {Thresholding methods to estimate the copula density},
  institution = {LPMA},
  note = {Extended version arXiv:0802.2424},
  year = {2008},
  eprint = {0802.2424},
  archiveprefix = {arXiv}
}

@inproceedings{dossal07:_geomet_image_estim_orthog_bandl_bases,
  author = {Peyré, G. and Le Pennec, E. and Dossal, Ch. and Mallat, S.},
  title = {Geometrical Image Estimation with Orthogonal Bandlets Bases},
  booktitle = {SPIE Wavelet XII 07},
  address = {San Diego},
  year = {2007},
  doi = {10.1117/12.731227}
}

@inproceedings{dossal07:_debruit,
  author = {Le Pennec, E. and Dossal, Ch. and Peyré, G. and Mallat, S.},
  title = {Débruitage géométrique d'image dans des bases orthonormées de bandelettes},
  booktitle = {GRETSI 07},
  address = {Troyes},
  year = {2007}
}

@article{le07:_des,
  author = {Le Pennec, E. and Picard, D.},
  title = {Des lunettes pour un télescope spatial sans aller dans l'espace?},
  journal = {Math Enigmes Express (CIJM)},
  year = {2007}
}

@article{pennec06:_compr,
  author = {Le Pennec, E.},
  title = {Compression d'image},
  journal = {Image des mathématiques (CNRS)},
  year = {2006}
}

@article{le05:_spars_geomet_image_repres_bandel,
  author = {Le Pennec, E. and Mallat, S.},
  title = {Sparse Geometrical Image Representation with Bandelets},
  journal = {IEEE Trans. Image Process.},
  number = {4},
  volume = {14},
  pages = {423--438},
  year = {2005},
  doi = {10.1109/TIP.2005.843753}
}

@article{le05:_bandel_image_approx_compr,
  author = {Le Pennec, E. and Mallat, S.},
  title = {Bandelet Image Approximation and Compression},
  journal = {Multiscale Model. Sim.},
  number = {3},
  volume = {4},
  pages = {992--1039},
  year = {2005},
  doi = {10.1137/040619454}
}

@inproceedings{le03:_geomet_image_compr_bandel,
  author = {Le Pennec, E. and Mallat, S.},
  title = {Geometrical Image Compression with Bandelets},
  booktitle = {VCIP 03},
  address = {Lugano},
  note = {Special Session},
  year = {2003},
  doi = {10.1117/12.509904}
}

@inproceedings{le03:_bandel,
  author = {Le Pennec, E. and Mallat, S.},
  title = {Bandelettes et représentation géométrique des images},
  booktitle = {GRETSI 03},
  address = {Paris},
  year = {2003}
}

@techreport{bernard03:_adapt,
  author = {Bernard, Ch. and Le Pennec, E.},
  title = {Adaptation of regular grid filterings to irregular grids},
  institution = {CMAP},
  year = {2003}
}

@thesis{le02:_bandel,
  author = {Le Pennec, E.},
  title = {Bandelettes et représentations géométriques des images},
  school = {École Polytechnique},
  type = {PhD Thesis},
  year = {2002}
}

@patent{bernard02:_method,
  author = {Bernard, Ch. and Kalifa, J. and Le Pennec, E. and Mallat, S.},
  title = {Method and apparatus for processing or compressing n-dimensional signals with warped wavelets packets and bandelets},
  number = {PCT/EP02/14903},
  year = {2002}
}

@inproceedings{le01:_bandel_repres_image_compr,
  author = {Le Pennec, E. and Mallat, S.},
  title = {Bandelet Representations for Image Compression},
  booktitle = {ICIP 01},
  address = {Thessaloniki},
  note = {Special Session},
  year = {2001},
  doi = {10.1109/ICIP.2001.958939}
}

@inproceedings{le01:_repre,
  author = {Le Pennec, E. and Mallat, S.},
  title = {Représentation d'image par bandelettes et application à la compression},
  booktitle = {GRETSI 01},
  address = {Toulouse},
  year = {2001}
}

@patent{le01:_method,
  author = {Le Pennec, E. and Mallat, S.},
  title = {Method and apparatus for processing or compressing n-dimensional signals by foveal filtering along trajectories},
  number = {09/834,587},
  year = {2001}
}

@inproceedings{le00:_image_compr_geomet_wavel,
  author = {Le Pennec, E. and Mallat, S.},
  title = {Image Compression with Geometrical Wavelets},
  booktitle = {ICIP 00},
  address = {Vancouver},
  year = {2000},
  doi = {10.1109/ICIP.2000.901045}
}

@thesis{pennec98:_model,
  author = {Le Pennec, E.},
  title = {Modélisation des images par ondelettes},
  school = {DEA MVA, Cachan},
  type = {Master Thesis},
  year = {1997}
}