%%% WIP

%%% Preprint

@article{clavier22,
  author          = {Clavier, P. and Allassonnière, S. and Le Pennec, E.},
  journal         = {arXiv},
  title           = {Robust Reinforcement Learning with Distributional Risk-averse formulation},
  year            = {2022},
  pubtype =	 {Preprint},
  keywords =	 {Preprint, RL},
  pubtype =	 {Preprint},
  subject =	 {RL},
  url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/RL/2022-arXiv-CALP},
  arXiv = {2206.06841}
}
@article{gaudfernau24,
  author          = {Gaudfernau, F. and Blondiaux, E. and Allassonnière, S. and Le Pennec, E.},
  journal         = {Journal of Mathematical Imaging and Vision},
  title           = {Wavelet-Based Multiscale Initial Flow For Improved Atlas Estimation in the Large Diffeomorphic Deformation Model Framework},
  year            = {2025},
  volume         = {67},
  number        = {10},
  lang =	 {English},
  pubtype =	 {Article},
  keywords =	 {Article, Health, ThemeHealth},

  subject =	 {Health},
  url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/Health/2024-JMIV-GBALP.pdf},
  arXiv = {2206.06841}
}

@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,
  keywords =	 {Preprint, Health, ThemeHealth, RL, ThemeRL},
  pubtype =	 {Preprint},
  subject =	 {Health, RL},
  preprint =	 {Health/2018-arXiv-BLPASSN.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Preprint/Health/2018-arXiv-BLPASSN.pdf},
  lang =	 {English},
  arXiv =	 {1811.10112}
}

@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,
  lang =	 {English},
  keywords =	 {Preprint, Needlet, ThemeNeedlet},
  pubtype =	 {Preprint},
  subject =	 {Needlet},
  preprint =	 {Needlet/2018-HAL-BLPT.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Preprint/Needlet/2018-HAL-BLPT.pdf},
  hal =		 {hal-01794224}
}

@Article{Derman17,
  author =	 {Derman, E. and Le Pennec, E.},
  title =	 {Clustering and Model Selection via Penalized
                  Likelihood for Different-sized Categorical Data
                  Vectors},
  journal =	 {Submission},
  year =	 2017,
  lang =	 {English},
  keywords =	 {Preprint, eGMM, ThemeCond},
  pubtype =	 {Preprint},
  subject =	 {eGMM},
  preprint =	 {eGMM/2017-arXiv-DLP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Preprint/eGMM/2017-arXiv-DLP.pdf},
  arXiv =	 {1709.02294}
}


@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,
  keywords =	 {TechReport, Needlet, ThemeNeedlet},
  pubtype =	 {Technical report},
  subject =	 {Needlet},
  preprint =	 {Needlet/2011-arXiv-GLP.pdf},
  url_PDF = {http://lepennec.perso.math.cnrs.fr/Preprint/Needlet/2011-arXiv-GLP.pdf},
  lang =	 {English},
  hal =		 {inria-00601274v1},
  arXiv =	 {1106.3503},
  inriaRR =	 7647
}

@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 =	 {Submission},
  year =	 2013,
  keywords =	 {Preprint, eGMM, ThemeCond},
  pubtype =	 {Preprint},
  subject =	 {eGMM},
  preprint =	 {eGMM/2011-Pre1-CLP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Preprint/eGMM/2011-Pre1-CLP.pdf},
  lang =	 {English}
}

%%% Accepted

%%% 2025
@article{benmarek25,
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},
issn = {0301-2115},
doi = {10.1016/j.ejogrb.2025.01.030},
author = {Menzhulina, E. and Vitrou, V. and Merrer, J. and Holmstrom, E. and Ait Amara, I. and Le Pennec, E. and Stirnemann, J. and Ben M’Barek, I.},
lang = {english},
keywords =	 {Article, Health, ThemeHealth},
pubtype =	 {Article},
subject =	 {Health},
url_pdf = {http://lepennec.perso.math.cnrs.fr/Reprint/Health/2025-EJOGRB-MVMHAALPSBM.pdf},
}

%%% 2024

@article{benmarek24,
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},
issn = {0010-4825},
doi = {10.1016/j.compbiomed.2024.109448},
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.},
keywords =	 {Article, Health, ThemeHealth},
  pubtype =	 {Article},
  subject =	 {Health},
  doi = {10.1002/uog.26242},
  lang = {english},
  url_pdf = {http://lepennec.perso.math.cnrs.fr/Reprint/Health/2024-CBM-BMJMKSCLPS.pdf},
}


@inproceedings{clavier24c,
  author          = {Clavier, P. and  Shi, L. and Le Pennec, E. and Mazumdar, E. and Wierman A. and Geist, M.},
  booktitle       = {Neurips},
  title           = {Near-Optimal Distributionally Robust RL with General $L_p$
Norms},
  year            = {2024},
   keywords =	 {Proceedings, RL, ThemeRL},
  pubtype =	 {Proceedings of international conference},
  subject =	 {RL},
   url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/RL/2024-Neurips-CSLPMWG.pdf},
  lang = {english}
}

@inproceedings{clavier24b,
  author          = {Clavier, P. and Rachelson, E. and Le Pennec, E. and Geist, M.},
  booktitle       = {17th European Workshop on Reinforcement Learning},
  title           = {	Bootstrapping Expectiles in Reinforcement Learning},
  year            = {2024},
   keywords =	 {Proceedings, RL, ThemeRL},
  pubtype =	 {Proceedings of international conference},
  subject =	 {RL},
   url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/RL/2024-EWRL-CRLPG.pdf},
  lang = {english}
}

@inproceedings{Forghieri24b,
  author          = {Forghieri, O. and Castel, H. and Hyon, E. and Le Pennec, E.},
  booktitle       = {17th European Workshop on Reinforcement Learning},
  title           = {State Abstraction Discovery from Progressive Disaggregation Methods},
  year            = {2024},
  keywords =	 {Proceedings, RL, ThemeRL},
  pubtype =	 {Proceedings of international conference},
  subject =	 {RL},
  url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/RL/2024-EWRL-FCHLP.pdf},
  lang = {english}
}

@inproceedings{clavier24,
  author          = {Clavier, P. and Le Pennec, E. and Geist, M.},
  booktitle       = {Conference on Uncertainty in Artificial Intelligence (UAI)},
  title           = {Towards Minimax Optimality of Model-based Robust Reinforcement Learning},
  year            = {2024},
   keywords =	 {Proceedings, RL, ThemeRL},
  pubtype =	 {Proceedings of international conference},
  subject =	 {RL},
   url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/RL/2024-UAI-CLPG.pdf},
  lang = {english}
}


@inproceedings{Forghieri24,
  author          = {Forghieri, O. and Castel, H. and Hyon, E. and Le Pennec, E.},
  booktitle       = {International Conference on Automated Planning and Scheduling},
  title           = {Progressive State Space Disaggregation for Infinite Horizon Dynamic Programming},
  year            = {2024},
  keywords =	 {Proceedings, RL, ThemeRL},
  pubtype =	 {Proceedings of international conference},
  subject =	 {RL},
  url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/RL/2024-ICAPS-FCHLP.pdf},
  lang = {english}
}

%%% 2023

@Patent{Dhaou23p,
  author =	 {Dhaou, A. and Bertoncello, A. and Gourvenec, S. and Garnier, J. and Le Pennec, E.},
  title =	 {Procédé de contrôle d'un système et produit programme d'ordinateur associé},
  year =	 2023,
  number =	 {FR3124868B1},
  keywords =	 {Patent, Causality, ThemeCausality},
  pubtype =	 {Patent},
  theme = {Causality},
  reprint =	 {Patent/2023-DBGGLP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Patent/2023-DBGGLP.pdf},
  reprintok =	 1,
  lang =	 {Français}
}

@inproceedings{gaudfernau23b,
  author          = {Gaudfernau, F. Allassonière, S. and Le Pennec, E.},
  booktitle       = {GRETSI},
  title           = {Un algorithme multiéchelle pour déformer les objets de façon réaliste - application à la modélisation de la croissance du cerveau foetal},
  year            = {2023},
  keywords =	 {Actes, Health, ThemeHealth},
  pubtype =	 {Actes de conférence nationale},
  subject =	 {Health},
    url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/Health/2023-GRETSI-GALP.pdf},
  lang = {fr}
}

@article{stirnemann23,
  author          = {Stirnemann, J. and Besson, R. and Spaggiari, E.  and Rojo, S. and Loge, F. and Peyro-Saint-Paul, H. and Allassonniere, S. and Le Pennec, E. and Hutchinson, C. and Sebire, N.J. and Ville, Y.},
  journal         = {Ultrasound in Obstetrics \& Gynecology},
  number          = {62},
  title           = {Development and clinical validation of real-time artificial intelligence diagnostic companion for fetal ultrasound examination},
  volume          = {3},
  year            = {2023},
  pages           = {353-360},
  keywords =	 {Article, Health, ThemeHealth},
  pubtype =	 {Article},
  subject =	 {Health},
  doi = {10.1002/uog.26242},
  lang = {english},
  url_pdf = {http://lepennec.perso.math.cnrs.fr/Reprint/Health/2023-UOG-SBSBRLPPALPHSV.pdf},
}

@inproceedings{monchot23,
  author          = {Monchot, P. and Coquelin, L. and Petit, S. and Marmin, S. and Le Pennec, E. and Fischer, N.},
  booktitle       = {International Conference on Machine Learning},
  title           = {Input uncertainty propagation through trained neural networks},
  year            = {2023},
  keywords =	 {Proceedings, Causality, ThemeCausality},
  pubtype =	 {Proceedings of international conference},
  subject =	 {Causality},
    url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/Causality/2023-ICML-MCPMLP.pdf},
  lang = {english}
}

@inproceedings{gaudfernau23,
  author          = {Gaudfernau, F. and Allassonnière, S. and Le Pennec, E.},
  booktitle       = {SPIE Medical Imaging},
  title           = {A multiscale algorithm for computing realistic image transformations - Application to the modelling of fetal brain growth},
  year            = {2023},
  keywords =	 {Proceedings, Health, ThemeHealth},
  pubtype =	 {Proceedings of international conference},
  subject =	 {Health},
  url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/Health/2023-SPIE-GALP.pdf},
  lang = {english}
}

%%% 2022

@inproceedings{stirnemann22,
  author          = {Stirnemann, J. and Besson, R. and Spaggiari, E.  and Rojo, S. and Loge, F. and Peyro-Saint-Paul, H. and Allassonniere, 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},
boktitle = {Ultrasound in Obstetrics \& Gynecology},
volume = {60},
pages = {14-15},
keywords =	 {Proceedings, Health, ThemeHealth},
  pubtype =	 {Proceedings of international conference},
  subject =	 {Health},
doi = {10.1002/uog.26242},
url_pdf = {http://lepennec.perso.math.cnrs.fr/Reprint/Health/2022-UOG-SBSBRLPPALPHSV.pdf},
year = {2022},
  lang =	 {English}
}

%%% 2021

@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 },
  year =	 2024,
  number =	 {US11881309B2},
  keywords =	 {Patent, TOP5, Health, ThemeHealth, RL, ThemeRL},
  subject =	 {Health, RL},
  pubtype =	 {Patent},
  reprint =	 {Patent/2021-ABLP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Patent/2024-ABLP.pdf},
  reprintok =	 1,
  lang =	 {English}
}

@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},
  year            = {2021},
  doi             = {doi/10.1145/3447548.3467161},
  pubtype =	 {Proceedings of international conference},
  keywords =	 {Proceedings, Causality, ThemeCausality},
  x-international-audience ={yes},
  x-proceedings ={yes},
  subject = {Causality},
  x-invited-conference ={no},
  pages = {2764–2772},
  url_PDF = {http://lepennec.perso.math.cnrs.fr/Reprint/Causality/2021-KDD-DBGGLP.pdf},
  lang =	 {English}
}

@Article{Loge21,
  author          = {Logé, F. and Le Pennec, E. and Amadou-Boubacar, H.},
  title           = {Intelligent Questionnaires Using Approximate Dynamic Programming},
  journal       = {i-com},
  year            = {2021},
  keywords =	 {Article, Health, ThemeHealth, TOP5, RL, ThemeRL},
  pubtype =	 {Article},
  subject =	 {Health, RL},
  volume = 19,
  number = 3,
  pages = {227-237},
  doi = {doi/10.1515/icom-2020-0022},
  %preprint = {RL/2020-LLPAB-UCAI.pdf},
  reprint = {RL/2021-LLPAB-i-com.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/RL/2021-LLPAB-i-com.pdf},
  reprintOK = 1,
  lang =	 {English}
}

@inproceedings{stirnemann21,
  author          = {Stirnemann, J. and Besson, R. and Spaggiari, E. and Bourgon, N. and Rojo, S. and Loge, F. and Peyro-Saint-Paul, H. and Allassonniere, 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},
volume = {58},
number = {S1},
pages = {169-170},
keywords =	 {Proceedings, Health, ThemeHealth},
  pubtype =	 {Proceedings of international conference},
  subject =	 {Health},
doi = {10.1002/uog.24291},
%url = {https://obgyn.onlinelibrary.wiley.com/doi/abs/10.1002/uog.24291},
%eprint = {https://obgyn.onlinelibrary.wiley.com/doi/pdf/10.1002/uog.24291},
url_pdf = {http://lepennec.perso.math.cnrs.fr/Reprint/Health/2021-UOG-SBSBRLPSPALPV.pdf},
year = {2021},
  lang =	 {English}
}

%%% 2020
@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},
  keywords =	 {Proceedings, Health, ThemeHealth, TOP5, RL, ThemeRL},
  pubtype =	 {Proceedings of international conference},
  subject =	 {Health, RL},
  x-international-audience ={yes},
  x-proceedings ={yes},
  x-invited-conference ={no},
  preprint = {RL/2020-LLPAB-DSHealth.pdf},
  reprint = {RL/2020-LLPAB-DSHealth.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/RL/2020-LLPAB-DSHealth.pdf},
  arxiv = {2007.11880},
  reprintOK = 1,
  lang =	 {English}
}

@inproceedings{LogeUCAI20,
  author          = {Logé, F. and Le Pennec, E. and Amadou-Boubacar, H.},
  title           = {Adaptive predictive-questionnaire
by approximate dynamic programming},
  booktitle       = {UCAI 2020},
  year            = {2020},
  keywords =	 {Proceedings, RL, ThemeRL},
  pubtype =	 {Proceedings of international conference},
  subject =	 {RL},
  x-international-audience ={yes},
  x-proceedings ={yes},
  x-invited-conference ={no},
  preprint = {RL/2020-LLPAB-UCAI.pdf},
  reprint = {RL/2020-LLPAB-UCAI.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/RL/2020-LLPAB-UCAI.pdf},
  reprintOK = 1,
  lang =	 {English}
}

@InProceedings{BessonIcaart20,
  author =	 {Besson, R. and Le Pennec, E. and Allassonnière,
                  S. and Stirnemann, J. and Neuraz, A. and Spaggiari,
                  E.},
  title =	 {Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application},
  year =	 2020,
  booktitle =	 {ICAART 2020},
  keywords =	 {Proceedings, Health, ThemeHealth, TOP5, RL, ThemeRL},
  pubtype =	 {Proceedings of international conference},
  subject =	 {Health, RL},
  x-international-audience ={yes},
  x-proceedings ={yes},
  x-invited-conference ={no},
  preprint = {RL/2020-BLPSNSA-ICAART.pdf},
  reprint = {RL/2020-BLPSNSA-ICAART.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/RL/2020-BLPSNSA-ICAART.pdf},
  reprintOK = 1,
  lang =	 {English},
  doi = {10.5220/0008938804750482}
}

%%% 2019


@Patent{Prenat19,
  author =	 {Prenat, M. and Le Pennec, E. and Berginc, G.},
  title =	 {Procédé de synthèse d'images},
  year =	 2023,
  number =	 {FR/3075438B1},
  keywords =	 {Patent, Detection, ThemeDetection},
  pubtype =	 {Patent},
  theme = {Detection},
  reprint =	 {Patent/2019-PLP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Patent/2023-PLPG.pdf},
  reprintok =	 1,
  lang =	 {Français}
}

@Article{Besson19,
  author =	 {Besson, R. and Le Pennec, E. and Allassonnière, S.},
  title =	 {Learning from both experts and data},
  journal =	 {Entropy},
  year =	 2019,
  keywords =	 {Article, RL, ThemeRL},
  pubtype =	 {Article},
  subject =	 {RL},
  volume =	 12,
  number =	 1,
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/RL/2019-Entropy-BLPA.pdf},
  preprint =	 {RL/2019-arXiv-BLPA.pdf},
  reprint =	 {RL/2019-Entropy-BLPA.pdf},
  reprintok =	 1,
  lang =	 {English},
  arXiv =	 {1910.09043},
  doi =		 {10.3390/e21121208}
}

@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 =	 {IEE ISGT Europe},
  year =	 2019,
  x-international-audience ={yes},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Proceedings, RL, TOP5},
  pubtype =	 {Proceedings of international conference},
  subject =	 {RL},
  preprint =	 {RL/2019-ISGT-LPLPBHB.pdf},
  reprint =	 {RL/2019-ISGT-LPLPBHB.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/RL/2019-ISGT-LPLPBHB.pdf},
  reprintok =	 1,
  lang =	 {English},
  doi =		 {10.1109/ISGTEurope.2019.8905538}
}

@Article{nguyen19:_autom_inter_coron_mass_eject,
  author =	 {Nguyen, G. and Aunai, N. and Fontaine, D. and Le
                  Pennec, E. and Vandenbossche, J. and Jeandet, A. and
                  Bakkali, B. and Vignoli, L. and Refaldo-Saint
                  Blancard, B.},
  title =	 {Automatic detection of Interplanetary Coronal Mass
                  Ejections from in-situ data: a deep learning
                  approach},
  journal =	 {The Astrophysical Journal},
  year =	 2019,
  lang =	 {English},
  subject =	 {Detection},
  pubtype =	 {Article},
  keywords =	 {Article, Detection, ThemeTarget},
  arxiv =	 {1903.10780},
  preprint =	 {Detection/2019-arXiv-NAFLPVJBVR.pdf},
  reprint =	 {Detection/2019-Astro-NAFLPVJBVR.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Detection/2019-Astro-NAFLPVJBVR.pdf},
  reprintok =	 1,
  doi =		 {10.3847/1538-4357/ab0d24}
}

@Article{montuelle18:_pac,
  author =	 {Montuelle, L. and Le Pennec, E.},
  title =	 {PAC-Bayesian aggregation of linear estimators},
  journal =	 {Nonparametric Statistics},
  year =	 2019,
  page =	 {133-144},
  lang =	 {English},
  keywords =	 {Article, eGMM, ThemeAggreg},
  pubtype =	 {Article},
  subject =	 {Aggregation},
  preprint =	 {Aggregation/2018-arXiv-MLP.pdf},
  reprint =	 {Aggregation/2019-NPS-MLP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Aggregation/2019-NPS-MLP.pdf},
  reprintok =	 1,
  arXiv =	 {1410.0661},
  doi =		 {10.1007/978-3-319-96941-1_9}
}


@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},
  year =	 2019,
  note =         {33rd Annual Meeting of the Associated Professional Sleep Societies}, 
  doi =		 {10.1093/sleep/zsz067.314},
  x-international-audience ={no},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Proceedings, Health, ThemeHealth},
  pubtype =	 {Proceedings of international conference},
  subject =	 {Health},
  preprint =	 {Health/2019-Sleep-SBBACLPRL},
  reprint =	 {Health/2019-Sleep-SBBACLPRL.pdf},
  reprintok =	 1,
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Health/2019-Slepp-SBBACLPRL.pdf},
  lang =	 {English}
}

%%% 2018

@Book{cornillon18:_r,
  title =	 {R pour la statistique et la science des données},
  year =	 2018,
  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.},
  publisher =	 {PUR},
  isbn =	 {978-2-7535-7573-8},
  lang =	 {Francais},
  keywords =	 {Book, R},
  pubtype =	 {Book},
  preprint =	 {R/2018-R.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Preprint/R/2018-R.pdf},
}

@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},
  year =	 2018,
  doi =		 {10.1007/s00032-018-0285-1},
  lang =	 {English},
  keywords =	 {Article, Needlet, ThemeNeedlet},
  pubtype =	 {Preprint},
  subject =	 {Needlet},
  preprint =	 {Needlet/2018-arXiv-BAACLPT.pdf},
  reprint =	 {Needlet/2018-Milan-BAACLPT.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Needlet/2018-Milan-BAACLPT.pdf},
  reprintOK =	 1
}

@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},
  volume =	 15,
  number =	 1,
  pages =	 49,
  year =	 2018,
  note =	 "Résumés du Congrès du Sommeil. Marseille, 23-25
                  novembre 2017",
  issn =	 "1769-4493",
  doi =		 "10.1016/j.msom.2018.01.132",
  x-international-audience ={no},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Actes, Health, ThemeHealth},
  pubtype =	 {Actes de conférence nationale},
  subject =	 {Health},
  preprint =	 {Health/2017-Sommeil-SBMBCLPL.pdf},
  reprint =	 {Health/2017-Sommeil-SBMBCLPL.pdf},
  reprintok =	 1,
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Health/2017-Sommeil-SBMBCLPL.pdf},
  lang =	 {Français}
}

@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},
  year =	 2018,
  volume =	 12,
  nummber =	 1,
  page =	 {277-320},
  doi =		 {10.1214/17-EJS1383},
  SICI =	 {1935-7524(2018)12:1<277:AEITNR>2.0.CO;2-U},
  keywords =	 {Article, Needlet, ThemeNeedlet},
  pubtype =	 {Article},
  subject =	 {Needlet},
  preprint =	 {Needlet/2017-arXiv-GLP.pdf},
  reprint =	 {Needlet/2018-EJS-GLP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Needlet/2018-EJS-GLP.pdf},
  reprintok =	 1,
  lang =	 {English},
  hal =		 {inria-00601274},
  arXiv =	 {1106.3503},
  inriaRR =	 7647,
}



%%% 2017

@InProceedings{BessonSfdS17,
  author =	 {Besson, R. and Le Pennec, E. and Allassonière, S.},
  title =	 {Optimisation d'arbre de décision pour un problème de
                  détection précoce d'anomalies foetales},
  booktitle =	 {Journée de la SFdS},
  year =	 2017,
  address =	 {Avignon},
  x-international-audience ={no},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Actes, Health, ThemeHealth},
  pubtype =	 {Actes de conférence nationale},
  subject =	 {Health},
  preprint =	 {Health/2017-SFdS-BLPA.pdf},
  reprint =	 {Health/2017-SFdS-BLPA.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Health/2017-SFdS-BLPA.pdf},
  reprintok =	 1,
  lang =	 {Francais},
}


%%% 2015

@InProceedings{ThivSfdS15,
  author =	 {Thivin, S. and Le Pennec, E. and Prenat, M.},
  title =	 {Détection automatique de cibles sous-résolues},
  booktitle =	 {Journée de la SFdS},
  year =	 2015,
  address =	 {Lille},
  x-international-audience ={no},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Actes, Detection, ThemeTarget},
  pubtype =	 {Actes de conférence nationale},
  subject =	 {Detection},
  preprint =	 {Detection/2015-SFdS-TLPP.pdf},
  reprint =	 {Detection/2015-SFdS-TLPP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Detection/2015-SFdS-TLPP.pdf},
  reprintok =	 1,
  lang =	 {Francais},
}


%%% 2014

@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.},
  FJOURNAL =	 {Electronic Journal of Statistics},
  YEAR =	 2014,
  VOLUME =	 8,
  NUMBER =	 1,
  PAGES =	 {1661-1695},
  ISSN =	 {1935-7524},
  DOI =		 {10.1214/14-EJS939},
  SICI =	 {1935-7524(2014)8:1<1661:MOGRMW>2.0.CO;2-8},
  year =	 2014,
  keywords =	 {Article, eGMM, ThemeCond},
  pubtype =	 {Article},
  subject =	 {eGMM},
  lang =	 {English},
  preprint =	 {eGMM/2014-arXiv-MLP.pdf},
  reprint =	 {eGMM/2014-EJS-MLP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/eGMM/2014-EJS-MLP.pdf},
  reprintok =	 1,
  lang =	 {English},
  hal =		 {hal-00809735},
  arXiv =	 {1304.2696},
  inriaRR =	 8281,
}

@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},
  fjournal =	 {Oil & Gas Science and Technology - Revue d'IFP
                  Energies nouvelles},
  year =	 2014,
  keywords =	 {Article, eGMM, ThemeCond},
  pubtype =	 {Article},
  x-editorial-board ={yes},
  x-international-audience ={yes},
  pubtype =	 {Article},
  subject =	 {eGMM},
  volume =	 69,
  number =	 2,
  pages =	 {245--260},
  preprint =	 {eGMM/2014-OGST-CLP.pdf},
  reprint =	 {eGMM/2014-OGST-CLP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/eGMM/2014-OGST-CLP.pdf},
  lang =	 {English},
  doi =		 {10.2516/ogst/2014013},
  reprintok =	 1
}

@InProceedings{MontSfdS14,
  author =	 {Montuelle, L. and Le Pennec, E.},
  title =	 {Agrégation PAC-bayésienne d'estimateurs par
                  projection},
  booktitle =	 {Journée de la SFdS},
  year =	 2014,
  address =	 {Rennes},
  x-international-audience ={no},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Actes, Aggregation, ThemeAggreg},
  pubtype =	 {Actes de conférence nationale},
  subject =	 {Aggregation},
  preprint =	 {Aggregation/2014-SFdS-MLP.pdf},
  reprint =	 {Aggregation/2014-SFdS-MLP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Aggregation/2014-SFdS-MLP.pdf},
  reprintok =	 1,
  lang =	 {Francais},
}

@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},
  year =	 2014,
  address =	 {Rennes},
  x-international-audience ={no},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Actes, Detection, ThemeTarget},
  pubtype =	 {Actes de conférence nationale},
  subject =	 {Detection},
  preprint =	 {Detection/2014-SFdS-TLPP.pdf},
  reprint =	 {Detection/2014-SFdS-TLPP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Detection/2014-SFdS-TLPP.pdf},
  reprintok =	 1,
  lang =	 {Francais},
}

%%% 2013

@Article{cohen12:_partit_based_condit_densit_estim,
  author =	 {Cohen, S. and Le Pennec, E.},
  title =	 {Partition-Based Conditional Density Estimation},
  journal =	 {ESAIM Probab. Stat.},
  fjournal =	 {ESAIM Probability and Statistics},
  year =	 2013,
  keywords =	 {Article, eGMM, ThemeCond, ThemeCond},
  x-editorial-board ={yes},
  x-international-audience ={yes},
  pubtype =	 {Article},
  subject =	 {eGMM},
  preprint =	 {eGMM/2012-ESAIMPS-CLP.pdf},
  reprint =	 {eGMM/2013-ESAIMPS-CLP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/eGMM/2013-ESAIMPS-CLP.pdf},
  lang =	 {English},
  volume =	 17,
  pages =	 {672--697},
  doi =		 {10.1051/ps/2012017},
  reprintok =	 1
}

@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},
  year =	 2013,
  address =	 {Toulouse},
  x-international-audience ={no},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Actes, eGMM, ThemeCond},
  pubtype =	 {Actes de conférence nationale},
  subject =	 {eGMM},
  preprint =	 {eGMM/2013-SFdS-MLP.pdf},
  reprint =	 {eGMM/2013-SFdS-MLP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/eGMM/2013-SFdS-MLP.pdf},
  reprintok =	 1,
  lang =	 {Francais},
  hal =		 {inria-00386668},
}

%%% 2012

@Article{kerkyachaian10:_radon,
  author =	 {Kerkyacharian, G. and Le Pennec, E. and Picard, D.},
  title =	 {Radon needlet thresholding},
  journal =	 {Bernoulli},
  fjournal =	 {Bernoulli},
  year =	 2012,
  volume =	 18,
  number =	 2,
  pages =	 {391--433},
  x-editorial-board ={yes},
  x-international-audience ={yes},
  keywords =	 {Article, Needlet, ThemeNeedlet},
  pubtype =	 {Article},
  subject =	 {Needlet},
  preprint =	 {Needlet/2010-Bernoulli-KLPP.pdf},
  reprint =	 {Needlet/2012-Bernoulli-KLPP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Needlet/2012-Bernoulli-KLPP.pdf},
  reprintok =	 1,
  lang =	 {English},
  hal =		 {hal-00409903},
  arXiv =	 {0908.2514},
  doi =		 {10.3150/10-BEJ340},
}

%%% 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,
  keywords =	 {TechReport, eGMM, ThemeCond},
  pubtype =	 {Technical report},
  subject =	 {eGMM},
  preprint =	 {eGMM/2011-arXiv-CLP.pdf},
  url_PDF = {http://lepennec.perso.math.cnrs.fr/Preprint/eGMM/2011-arXiv-CLP.pdf},
  lang =	 {English},
  hal =		 {inria-00575462},
  arXiv =	 {1103.2021},
  inriaRR =	 7596
}

@InProceedings{cohen11:_segmen,
  author =	 {Cohen, S. and Le Pennec, E.},
  title =	 {Segmentation non supervisée d'image hyperspectrale
                  par mélange de gausiennes spatialisé},
  booktitle =	 {GRETSI 11},
  year =	 2011,
  address =	 {Bordeaux},
  x-international-audience ={no},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Actes, eGMM, ThemeCond},
  pubtype =	 {Actes de conférence nationale},
  subject =	 {eGMM},
  preprint =	 {eGMM/2011-GRETSI-CLP.pdf},
  reprint =	 {eGMM/2011-GRETSI-CLP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/eGMM/2011-GRETSI-CLP.pdf},
  reprintok =	 1,
  lang =	 {Francais}
}

@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.},
  fjournal =	 {Signal Processing},
  year =	 2011,
  volume =	 91,
  number =	 12,
  pages =	 {2743--2753},
  x-editorial-board ={yes},
  x-international-audience ={yes},
  keywords =	 {Article, Bandlets, TOP10, ThemeBandlet},
  pubtype =	 {Article},
  subject =	 {Bandlets},
  preprint =	 {Bandlets/2011-SigPro-DLPM.pdf},
  reprint =	 {Bandlets/2011-SigPro-DLPM.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Bandlets/2011-SigPro-DLPM.pdf},
  reprintok =	 1,
  lang =	 {English},
  hal =		 {hal-00321965},
  arXiv =	 {0809.3092},
  doi =		 {10.1016/j.sigpro.2011.01.013},
}

@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.},
  fjournal =	 {Journal of Synchrotron Radiation},
  year =	 2011,
  volume =	 18,
  number =	 5,
  pages =	 {765--772},
  reprint =	 {eGMM/2011-JSR-BLCRGLBLPJDS.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/eGMM/2011-JSR-BLCRGLBLPJDS.pdf},
  reprintok =	 1,
  x-editorial-board ={yes},
  x-international-audience ={yes},
  keywords =	 {Article, eGMM, ThemeCond},
  pubtype =	 {Article},
  subject =	 {eGMM},
  lang =	 {English},
  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.},
  fjournal =	 {Annales de l'Institut Henri Poincarré. Probabilités
                  et Statistiques},
  year =	 2011,
  volume =	 47,
  number =	 1,
  pages =	 {43--74},
  x-editorial-board ={yes},
  x-international-audience ={yes},
  keywords =	 {Article, L1, ThemeDantzig},
  pubtype =	 {Article},
  subject =	 {L1},
  preprint =	 {L1/2011-AIHPB-BLPR.pdf},
  reprint =	 {L1/2011-AIHPB-BLPR.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/L1/2011-AIHPB-BLPR.pdf},
  reprintok =	 1,
  lang =	 {English},
  hal =		 {hal-00381984},
  arXiv =	 {0905.0884},
  doi =		 {10.1214/09-AIHP351}
}

%%% 2010

@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.},
  FJOURNAL =	 {Applied and Computational Harmonic Analysis},
  YEAR =	 2010,
  VOLUME =	 28,
  NUMBER =	 1,
  PAGES =	 {24--45},
  x-editorial-board ={yes},
  x-international-audience ={yes},
  keywords =	 {Article, Needlet, TOP10,ThemeNeedlet},
  pubtype =	 {Article},
  subject =	 {Needlet},
  preprint =	 {Needlet/2010-ACHA-KKLPPP.pdf},
  reprint =	 {Needlet/2010-ACHA-KKLPPP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Needlet/2010-ACHA-KKLPPP.pdf},
  reprintok =	 1,
  lang =	 {English},
  hal =		 {hal-00321894},
  arXiv =	 {0809.3332},
  doi =		 {10.1016/j.acha.2009.06.001},
}

@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.},
  FJOURNAL =	 {Constructive Approximation},
  YEAR =	 2010,
  VOLUME =	 31,
  NUMBER =	 2,
  PAGES =	 {195--229},
  x-editorial-board ={yes},
  x-international-audience ={yes},
  keywords =	 {Article, Maxiset, ThemeMaxiset},
  pubtype =	 {Article},
  subject =	 {Maxiset},
  preprint =	 {Maxiset/2010-CA-ALPLR.pdf},
  reprint =	 {Maxiset/2010-CA-ALPLR.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Maxiset/2010-CA-ALPLR.pdf},
  reprintok =	 1,
  lang =	 {English},
  hal =		 {hal-00259253},
  arXiv =	 {0802.4192},
  doi =		 {10.1007/s00365-009-9062-2}
}

@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.},
  FJOURNAL =	 {Journal of Multivariate Analysis},
  YEAR =	 2010,
  VOLUME =	 101,
  NUMBER =	 1,
  PAGES =	 {200--222},
  x-editorial-board ={yes},
  x-international-audience ={yes},
  keywords =	 {Article, Copula, TOP10,ThemeCopula},
  pubtype =	 {Article},
  subject =	 {Copula},
  preprint =	 {Copula/2010-JMVA-ALPT.pdf},
  reprint =	 {Copula/2010-JMVA-ALPT.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Copula/2010-JMVA-ALPT.pdf},
  reprintok =	 1,
  lang =	 {English},
  hal =		 {hal-00256197},
  arXiv =	 {0802.2424},
  doi =		 {10.1016/j.jmva.2009.07.009},
}

%%% 2009

@InProceedings{salmon09:_nl_means,
  author =	 {Salmon, J. and Le Pennec, E.},
  title =	 {{NL-Means} and aggregation procedures},
  booktitle =	 {ICIP 09},
  pages =	 {2977--2980},
  year =	 2009,
  adress =	 {Cairo},
  x-international-audience ={yes},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Proceedings, NL-Means, ThemeAggreg},
  pubtype =	 {Proceedings of international conference},
  subject =	 {NL-Means},
  preprint =	 {NL-Means/2009-ICIP-SLP.pdf},
  reprint =	 {NL-Means/2009-ICIP-SLP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/NL-Means/2009-ICIP-SLP.pdf},
  reprintok =	 1,
  lang =	 {English},
  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},
  year =	 2009,
  address =	 {San Diego},
  x-international-audience ={yes},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Proceedings, NL-Means, ThemeAggreg},
  pubtype =	 {Proceedings of international conference},
  subject =	 {NL-Means},
  preprint =	 {NL-Means/2009-SPIE-LPS.pdf},
  reprint =	 {NL-Means/2009-SPIE-LPS.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/NL-Means/2009-SPIE-LPS.pdf},
  reprintok =	 1,
  lang =	 {English},
  doi =		 {10.1117/12.826881}
}

@InProceedings{le09:_agreg,
  author =	 {Le Pennec, E. and Salmon, J.},
  title =	 {Agrégation d'estimateurs pour le débruitage d'image},
  booktitle =	 {Journée de la SFdS},
  year =	 2009,
  address =	 {Bordeaux},
  x-international-audience ={no},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Actes, NL-Means, ThemeBandlet},
  pubtype =	 {Actes de conférence nationale},
  subject =	 {NL-Means},
  preprint =	 {NL-Means/2009-Sfds-SLP.pdf},
  reprint =	 {NL-Means/2009-Sfds-SLP.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/NL-Means/2009-Sfds-SLP.pdf},
  reprintok =	 1,
  lang =	 {Francais},
  hal =		 {inria-00386668},
}

%%% 2008

@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,
  keywords =	 {TechReport, Copula},
  pubtype =	 {Technical report},
  subject =	 {Copula},
  preprint =	 {Copula/2008-arXiv-ALPT.pdf},
  url_PDF = {http://lepennec.perso.math.cnrs.fr/Preprint/Copula/2008-arXiv-ALPT.pdf},
  lang =	 {English},
  arXiv =	 {0802.2424},
}

%%% 2007

@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},
  year =	 2007,
  address =	 {San Diego},
  x-international-audience ={yes},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Proceedings, Bandlets, ThemeBandlet},
  pubtype =	 {Proceedings of international conference},
  subject =	 {Bandlets},
  preprint =	 {Bandlets/2007-SPIE-PLPDM.pdf},
  reprint =	 {Bandlets/2007-SPIE-PLPDM.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Bandlets/2007-SPIE-PLPDM.pdf},
  reprintok =	 1,
  lang =	 {English},
  hal =		 {hal-00365606},
  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},
  year =	 2007,
  address =	 {Troyes},
  x-international-audience ={no},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Actes, Bandlets, ThemeBandlet},
  pubtype =	 {Actes de conférence nationale},
  subject =	 {Bandlets},
  preprint =	 {Bandlets/2007-GRETSI-LPDPM.pdf},
  reprint =	 {Bandlets/2007-GRETSI-LPDPM.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Bandlets/2007-GRETSI-LPDPM.pdf},
  reprintok =	 1,
  lang =	 {Francais},
  hal =		 {hal-00365965},
}

%%% 2006

%%% 2005

@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.},
  fjournal =	 {IEEE Transactions on Image Processing},
  year =	 2005,
  volume =	 14,
  number =	 4,
  pages =	 {423--438},
  x-editorial-board ={yes},
  x-international-audience ={yes},
  keywords =	 {Article, Bandlets, ThemeBandlet},
  pubtype =	 {Article},
  subject =	 {Bandlets},
  preprint =	 {Bandlets/2005-IEEE_TIP-LPM.pdf},
  reprint =	 {Bandlets/2005-IEEE_TIP-LPM.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Bandlets/2005-IEEE_TIP-LPM.pdf},
  reprintok =	 1,
  lang =	 {English},
  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.},
  fjournal =	 {Multiscale Modeling and Simulation},
  year =	 2005,
  volume =	 4,
  number =	 3,
  pages =	 {992--1039},
  x-editorial-board ={yes},
  x-international-audience ={yes},
  keywords =	 {Article, Bandlets, TOP10, ThemeBandlet,
                  ThemeBandlet},
  pubtype =	 {Article},
  subject =	 {Bandlets},
  preprint =	 {Bandlets/2005-MMS-LPM.pdf},
  reprint =	 {Bandlets/2005-MMS-LPM.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Bandlets/2005-MMS-LPM.pdf},
  reprintok =	 1,
  lang =	 {English},
  doi =		 {10.1137/040619454}
}

%%% 2004


%%% 2003

@InProceedings{le03:_bandel,
  author =	 {Le Pennec, E. and Mallat, S.},
  title =	 {Bandelettes et représentation géométrique des
                  images},
  booktitle =	 {GRETSI 03},
  year =	 2003,
  address =	 {Paris},
  x-international-audience ={no},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Actes, Bandlets, ThemeBandlet},
  pubtype =	 {Actes de conférence nationale},
  subject =	 {Bandlets},
  pdf =
                  {http://www.math.jussieu.fr/~lepennec/papers/gretsi03.pdf},
  preprint =	 {Bandlets/2003-GRETSI-LPM.pdf},
  reprint =	 {Bandlets/2003-GRETSI-LPM.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Bandlets/2003-GRETSI-LPM.pdf},
  reprintok =	 1,
  lang =	 {Francais}
}

@InProceedings{le03:_geomet_image_compr_bandel,
  author =	 {Le Pennec, E. and Mallat, S.},
  title =	 {Geometrical Image Compression with Bandelets},
  booktitle =	 {VCIP 03},
  year =	 2003,
  note =	 {Special Session},
  address =	 {Lugano},
  x-international-audience ={yes},
  x-proceedings ={yes},
  x-invited-conference ={yes},
  keywords =	 {Proceedings, Bandlets, ThemeBandlet},
  pubtype =	 {Proceedings of international conference},
  subject =	 {Bandlets},
  preprint =	 {Bandlets/2003-VCIP-LPM.pdf},
  reprint =	 {Bandlets/2003-VCIP-LPM.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Bandlets/2003-VCIP-LPM.pdf},
  reprintok =	 1,
  lang =	 {English},
  doi =		 {10.1117/12.509904}
}

@TechReport{bernard03:_adapt,
  author =	 {Bernard, Ch. and Le Pennec, E.},
  title =	 {Adaptation of regular grid filterings to irregular
                  grids},
  institution =	 {CMAP},
  year =	 2003,
  keywords =	 {TechReport},
  pubtype =	 {Technical report},
  preprint =	 {Bandlets/2003-CMAP-BLP.pdf},
  url_PDF = {http://lepennec.perso.math.cnrs.fr/Preprint/Bandlets/2003-CMAP-BLP.pdf},
  lang =	 {English}
}

%%% 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},
  year =	 2002,
  number =	 {PCT/EP02/14903},
  keywords =	 {Patent},
  pubtype =	 {Patent},
  reprint =	 {Patent/2006-BKLPM.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Patent/2006-BKLPM.pdf},
  reprintok =	 1,
  lang =	 {English}
}

%%% 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},
  year =	 2001,
  number =	 {09/834,587},
  keywords =	 {Patent,TOP10},
  pubtype =	 {Patent},
  reprint =	 {Patent/2004-LPM.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Patent/2004-LPM.pdf},
  reprintok =	 1,
  lang =	 {English}
}

@InProceedings{le01:_bandel_repres_image_compr,
  author =	 {Le Pennec, E. and Mallat, S.},
  title =	 {Bandelet Representations for Image Compression},
  booktitle =	 {ICIP 01},
  year =	 2001,
  address =	 {Thessaloniki},
  note =	 {Special Session},
  x-international-audience ={yes},
  x-proceedings ={yes},
  x-invited-conference ={yes},
  keywords =	 {Proceedings, Bandlets, ThemeBandlet},
  pubtype =	 {Proceedings of international conference},
  subject =	 {Bandlets},
  preprint =	 {Bandlets/2001-ICIP-LPM.pdf},
  reprint =	 {Bandlets/2001-ICIP-LPM.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Bandlets/2001-ICIP-LPM.pdf},
  reprintok =	 1,
  lang =	 {English},
  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},
  year =	 2001,
  address =	 {Toulouse},
  x-international-audience ={no},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Actes, Bandlets, ThemeBandlet},
  pubtype =	 {Actes de conférence nationale},
  subject =	 {Bandlets},
  preprint =	 {Bandlets/2001-GRETSI-LPM.pdf},
  reprint =	 {Bandlets/2001-GRETSI-LPM.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Bandlets/2001-GRETSI-LPM.pdf},
  reprintok =	 1,
  lang =	 {Francais}
}

%%% 2000

@InProceedings{le00:_image_compr_geomet_wavel,
  author =	 {Le Pennec, E. and Mallat, S.},
  title =	 {Image Compression with Geometrical Wavelets},
  booktitle =	 {ICIP 00},
  year =	 2000,
  address =	 {Vancouver},
  x-international-audience ={yes},
  x-proceedings ={yes},
  x-invited-conference ={no},
  keywords =	 {Proceedings, Bandlets, ThemeBandlet},
  pubtype =	 {Proceedings of international conference},
  subject =	 {Bandlets},
  preprint =	 {Bandlets/2000-ICIP-LPM.pdf},
  reprint =	 {Bandlets/2000-ICIP-LPM.pdf},
  url_PDF =
                  {http://lepennec.perso.math.cnrs.fr/Reprint/Bandlets/2000-ICIP-LPM.pdf},
  reprintok =	 1,
  lang =	 {English},
  doi =		 {10.1109/ICIP.2000.901045},
}

%%% 1999

%%% 1998
%%% 2016

@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,
  keywords =	 {ArtVulgarisation, Statistique},
  pubtype =	 {Article de vulgarisation},
  subject =	 {Statistique},
  reprint =	 {Vulgarisation/2016-A3Mag-MLP.pdf},
  url_pdf = {http://lepennec.perso.math.cnrs.fr/Reprint/Vulgarisation/2016-A3Mag-MLP.pdf},
  reprintok =	 1
}

@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,
  x-editorial-board ={yes},
  x-international-audience ={yes},
  x-scientific-popularization ={yes},
  keywords =	 {ArtVulgarisation, Statistique},
  pubtype =	 {Article de vulgarisation},
  subject =	 {Statistique},
  reprint =	 {Vulgarisation/2016-RPMAT-LP.pdf},
  url_pdf = {http://lepennec.perso.math.cnrs.fr/Reprint/Vulgarisation/2016-RPMAT-LP.pdf},
  reprintok =	 1
}

%%% 2013

@Article{le13:_lart,
  author =	 {Le Pennec, E.},
  title =	 {L'art de couper les têtes sans faire mal},
  journaltitle = {Mathématiques, l'explosion continue},
  year =	 2013,
  x-editorial-board ={yes},
  x-international-audience ={no},
  x-scientific-popularization ={yes},
  keywords =	 {ArtVulgarisation, Statistique},
  pubtype =	 {Article de vulgarisation},
  subject =	 {Statistique},
  reprint =	 {Vulgarisation/2013-MathsExplosion-LP.pdf},
  url_pdf = {http://lepennec.perso.math.cnrs.fr/Reprint/Vulgarisation/2013-MathsExplosion-LP.pdf},
  reprintok =	 1
}

@Thesis{le13:_HdR,
  author =	 {Le Pennec, E.},
  title =	 {Some (statistical) applications of Ockham's
                  principle},
  year =	 2013,
  institution =	 {Université Paris Sud},
  type =	 {HdR},
  keywords =	 {These},
  pubtype =	 {Thèse},
  preprint =	 {HdR/2013-HdR-LP.pdf},
  url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/HdR/2013-HdR-LP.pdf},
  hal =		 {tel-00802653}
}



%%% 2010

%%% 2009

%%% 2008

%%% 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,
  x-editorial-board ={yes},
  x-international-audience ={no},
  x-scientific-popularization ={yes},
  keywords =	 {ArtVulgarisation, Statistique},
  pubtype =	 {Article de vulgarisation},
  subject =	 {Statistique},
  preprint =	 {Vulgarisation/2007-MathsEnigmeExpress-LPP.pdf},
  reprint =	 {Vulgarisation/2007-MathsEnigmeExpress-LPP.pdf},
  url_pdf = {http://lepennec.perso.math.cnrs.fr/Reprint/Vulgarisation/2007-MathsEnigmeExpress-LPP.pdf},
  reprintok =	 1
}

%%% 2006

@Article{pennec06:_compr,
  author =	 {Le Pennec, E.},
  title =	 {Compression d'image},
  journal =	 {Image des mathématiques (CNRS)},
  year =	 2006,
  x-editorial-board ={yes},
  x-international-audience ={no},
  x-scientific-popularization ={yes},
  keywords =	 {ArtVulgarisation, Compression},
  pubtype =	 {Article de vulgarisation},
  subject =	 {Compression},
  preprint =	 {Vulgarisation/2006-CNRS-LP.pdf},
  reprint =	 {Vulgarisation/2006-CNRS-LP.pdf},
  url_pdf = {http://lepennec.perso.math.cnrs.fr/Reprint/Vulgarisation/2006-CNRS-LP.pdf},
  reprintok =	 1
}

%%% 2005

%%% 2004

%%% 2003

%%% 2002

@Thesis{le02:_bandel,
  author = 	 {Le Pennec, E.},
  title = 	 {Bandelettes et représentations géométriques des images},
  school = 	 {École Polytechnique},
  year = 	 2002,
  type =	 {PhD Thesis},
 keywords = {These, Bandlets},
  pubtype = {Thèse},
  preprint = {Bandlets/2002-These-LP.pdf},
  url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/Bandlets/2002-These-LP.pdf},
  hal = {tel-01104135}
  }

%%% 2001

%%% 2000

%%% 1999

%%% 1998

@Thesis{pennec98:_model,
  author = 	 {Le Pennec, E.},
  title = 	 {Modélisation des images par ondelettes},
  school = 	 {DEA MVA, Cachan},
  year = 	 1997,
  type =	 {Master Thesis},
  keywords = {These},
  pubtype = {Thèse},
  preprint= {Misc/1997-DEA-LP.pdf},
  url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/Misc/1997-DEA-LP.pdf}},
 }