Erwan LE PENNEC

Publications

Mon, 01 Jan 0001 00:00:00 +0000

2026 (5)

Articles de revue

Analyse automatisée de la cardiotocographie en intrapartum : état des lieux, controverses et perspectives. I. Ben M'Barek, E. Holmström, P.-F. Ceccaldi, J. Michel, J. Vitrou, E. Le Pennec, J. Stirnemann. Gynécologie Obstétrique Fertilité & Sénologie, 54(6):342–349, 2026. PDF DOI

BibTeX

@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}
}

Randomised study of human machine collaboration for cardiotocography interpretation during labour. I. Ben M'Barek, B. Ben M'Barek, G. Jauvion, V. Whelehan, A. Papageorghiou, E. Le Pennec, J. Stirnemann. npj Digital Medicine, 9(1):365, 2026. PDF DOI HAL

BibTeX

@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}
}

Actes de conférences internationales

Deep learning-based semantic segmentation of cervical tissue in Mueller polarimetric colposcopy images for preterm risk assessment. I. Kamal, J. Park, J.-C. Vanel, D. Luton, E. Debras, E. Le Pennec, A. Pierangelo. Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2026, Proc. SPIE, 2026. DOI

BibTeX

@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}
}

Towards optical biomarkers of preterm birth: deep learning segmentation of cervical tissue using Mueller matrix polarimetry. I. Kamal, J. Park, J.-C. Vanel, D. Luton, E. Debras, A. Gandji, E. Le Pennec, A. Pierangelo. Unconventional Optical Imaging V, Proc. SPIE, 2026. DOI

BibTeX

@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}
}

Actes de conférences nationales

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

BibTeX

@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}
}

2025 (6)

Articles de revue

Wavelet-Based Multiscale Flow For Realistic Image Deformation in the Large Diffeomorphic Deformation Model Framework. F. Gaudfernau, E. Blondiaux, S. Allassonnière, E. Le Pennec. Journal of Mathematical Imaging and Vision, 67(2):10, 2025. PDF Prépublication DOI arXiv HAL

BibTeX

@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}
}

Integration of clinical features in a computerized cardiotocography system to predict severe newborn acidemia. E. Menzhulina, J. Vitrou, J. Merrer, E. Holmström, I. Ait Amara, E. Le Pennec, J. Stirnemann, I. Ben M'Barek. European Journal of Obstetrics & Gynecology and Reproductive Biology, 307:78-83, 2025. PDF DOI

BibTeX

@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}
}

DeepCTG® 2.0: Development and validation of a deep learning model to detect neonatal acidemia from cardiotocography during labor. I. Ben M'Barek, G. Jauvion, J. Merrer, M. Koskas, O. Sibony, P.-F. Ceccaldi, E. Le Pennec, J. Stirnemann. Computers in Biology and Medicine, 184:109448, 2025. PDF DOI

BibTeX

@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}
}

Actes de conférences internationales

Human-machine collaboration in intrapartum care: A randomized study of computerized assistance for clinical cardiotocography interpretation and prediction of perinatal acidemia. I. Ben M'Barek, B. Ben M'Barek, G. Jauvion, V. Whelehan, A. Papageorghiou, E. Le Pennec, J. Stirnemann. Gynécologie Obstétrique Fertilité & Sénologie, 53(11):605-606, 2025. PDF DOI

BibTeX

@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}
}

Faster Latency Constrained Service Placement in Edge Computing with Deep Reinforcement Learning Methods. O. Forghieri, Y. Carlinet, E. Hyon, E. Le Pennec, N. Perrot. TX4NETs Workshop, IFIP NETWORKING Conference, 2025. PDF

BibTeX

@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}
}

DeepCTG® 2.0: development and validation of a deep learning model to detect fetal acidemia from cardiotocography during labor. I. Ben M'Barek, G. Jauvion, J. Stirnemann, E. Le Pennec. European Journal of Obstetrics & Gynecology and Reproductive Biology, 313(S1):114431, 2025. PDF DOI

BibTeX

@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}
}

2024 (8)

Actes de conférences internationales

Near-Optimal Distributionally Robust RL with General Lₚ Norms. P. Clavier, L. Shi, E. Le Pennec, E. Mazumdar, A. Wierman, M. Geist. Advances in Neural Information Processing Systems (NeurIPS), 37:1750–1810, 2024. PDF DOI

BibTeX

@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}
}

Bootstrapping Expectiles in Reinforcement Learning. P. Clavier, E. Rachelson, E. Le Pennec, M. Geist. 17th European Workshop on Reinforcement Learning, 2024. PDF Prépublication arXiv

BibTeX

@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}
}

State Abstraction Discovery from Progressive Disaggregation Methods. O. Forghieri, H. Castel, E. Hyon, E. Le Pennec. 17th European Workshop on Reinforcement Learning, 2024. PDF

BibTeX

@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}
}

Towards Minimax Optimality of Model-based Robust Reinforcement Learning. P. Clavier, E. Le Pennec, M. Geist. Conference on Uncertainty in Artificial Intelligence (UAI), PMLR, 244:820–855, 2024. PDF Prépublication arXiv

BibTeX

@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}
}

Progressive State Space Disaggregation for Infinite Horizon Dynamic Programming. O. Forghieri, H. Castel, E. Hyon, E. Le Pennec. International Conference on Automated Planning and Scheduling, 34:221–229, 2024. PDF DOI

BibTeX

@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}
}

Actes de conférences nationales

Progressive state space disaggregation for dynamic programming. O. Forghieri, H. Castel, E. Le Pennec, E. Hyon. 25e Congrès Annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF), Amiens, 2024. PDF HAL

BibTeX

@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}
}

Posters

Nouveaux outils d'apprentissage statistiques pour l'imputation et le pronostic en conservation. S. Alao Afolabi, P. Hélou-de la Grandière, M. Thoury, E. Perruchini, E. Le Pennec, S. X. Cohen. Poster, PhD Day DIM AI4IDF, Paris, mars 2024. PDF HAL

BibTeX

@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}
}

Brevets

Real-time diagnosis aid method and decision-support for medical diagnosis to a user of a medical system. S. Allassonnière, R. Besson, E. Le Pennec. US11881309B2, 2024. PDF

BibTeX

@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}
}

2023 (6)

Articles de revue

Development and clinical validation of real-time artificial intelligence diagnostic companion for fetal ultrasound examination. J. Stirnemann, R. Besson, E. Spaggiari, S. Rojo, F. Logé, H. Peyro-Saint-Paul, S. Allassonnière, E. Le Pennec, C. Hutchinson, N. Sebire, Y. Ville. Ultrasound in Obstetrics & Gynecology, 62(3):353-360, 2023. PDF DOI

BibTeX

@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}
}

Actes de conférences internationales

Input uncertainty propagation through trained neural networks. P. Monchot, L. Coquelin, S. Petit, S. Marmin, E. Le Pennec, N. Fischer. International Conference on Machine Learning, 2023. PDF

BibTeX

@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}
}

A multiscale algorithm for computing realistic image transformations in the LDDMM framework - Application to the modelling of fetal brain growth. F. Gaudfernau, S. Allassonnière, E. Le Pennec. SPIE Medical Imaging 2023: Image Processing, Proc. SPIE, 12464:1246404, 2023. PDF

BibTeX

@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}
}

Actes de conférences nationales

Un algorithme multiéchelle pour déformer les objets de façon réaliste - application à la modélisation de la croissance du cerveau foetal. F. Gaudfernau, S. Allassonnière, E. Le Pennec. GRETSI, 2023. PDF

BibTeX

@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}
}

Brevets

Procédé de contrôle d'un système et produit programme d'ordinateur associé. A. Dhaou, A. Bertoncello, S. Gourvénec, J. Garnier, E. Le Pennec. FR3124868B1, US patent application 18/575,664 (2024), 2023. PDF

BibTeX

@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}
}

Procédé de synthèse d'images. M. Prenat, E. Le Pennec, G. Berginc. FR3075438B1, 2023. PDF

BibTeX

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

2022 (2)

Actes de conférences internationales

Clinical validation of a real‐time AI diagnostic companion for fetal ultrasound examination. J. Stirnemann, R. Besson, E. Spaggiari, S. Rojo, F. Logé, H. Peyro-Saint-Paul, S. Allassonnière, E. Le Pennec, C. Hutchinson, N. Sebire, Y. Ville. Ultrasound in Obstetrics & Gynecology, 60(S1):14-15, 2022. PDF

BibTeX

@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}
}

Prépublications

Robust Reinforcement Learning with Distributional Risk-averse formulation. P. Clavier, S. Allassonnière, E. Le Pennec. arXiv, 2022. PDF arXiv

BibTeX

@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}
}

2021 (3)

Actes de conférences internationales

Causal and Interpretable Rules for Time Series Analysis. A. Dhaou, A. Bertoncello, S. Gourvénec, J. Garnier, E. Le Pennec. Knowledge Discovery and Data Mining, pp. 2764–2772, 2021. PDF DOI

BibTeX

@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}
}

Description and clinical validation of a real-time AI diagnostic companion for fetal ultrasound examination. J. Stirnemann, R. Besson, E. Spaggiari, N. Bourgon, S. Rojo, F. Logé, H. Peyro-Saint-Paul, S. Allassonnière, E. Le Pennec, Y. Ville. Ultrasound in Obstetrics & Gynecology, 58(S1):169-170, 2021. PDF Prépublication DOI

BibTeX

@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}
}

A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task. R. Besson, E. Le Pennec, S. Allassonnière. Proceedings of Entropy 2021: The Scientific Tool of the 21st Century, 2021. DOI

BibTeX

@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}
}

2020 (4)

Articles de revue

Intelligent Questionnaires Using Approximate Dynamic Programming. F. Logé, E. Le Pennec, H. Amadou-Boubacar. i-com, 19(3):227-237, 2020. PDF DOI

BibTeX

@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}
}

Actes de conférences internationales

Challenging common bolus advisor for self-monitoring type-I diabetes patients using Reinforcement Learning. F. Logé, E. Le Pennec, H. Amadou-Boubacar. 2020 KDD Workshop on Applied Data Science for Healthcare, 2020. PDF arXiv

BibTeX

@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}
}

Adaptive predictive-questionnaire by approximate dynamic programming. F. Logé, E. Le Pennec, H. Amadou-Boubacar. Workshop on User-Centered Artificial Intelligence (UCAI), Mensch und Computer 2020, 2020. PDF DOI

BibTeX

@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}
}

Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application. R. Besson, E. Le Pennec, E. Spaggiari, A. Neuraz, J. Stirnemann, S. Allassonnière. ICAART 2020, pp. 475–482, 2020. PDF DOI

BibTeX

@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}
}

2019 (5)

Articles de revue

Learning from both experts and data. R. Besson, E. Le Pennec, S. Allassonnière. Entropy, 21(12):1208, 2019. PDF DOI arXiv HAL

BibTeX

@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}
}

Automatic detection of Interplanetary Coronal Mass Ejections from in-situ data: a deep learning approach. G. Nguyen, N. Aunai, D. Fontaine, E. Le Pennec, J. Van den Bossche, A. Jeandet, B. Bakkali, L. Vignoli, B. Regaldo-Saint Blancard. The Astrophysical Journal, 874(2):145, 2019. PDF DOI arXiv HAL

BibTeX

@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}
}

Actes de conférences internationales

Energy Management for Microgrids: a Reinforcement Learning Approach. T. Levent, P. Preux, E. Le Pennec, J. Badosa, G. Henri, Y. Bonnassieux. IEEE ISGT Europe, pp. 1–5, 2019. PDF DOI

BibTeX

@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}
}

Representation Of Polysomnography Recordings As Low Dimensional Trajectories. G. Solelhac, M. Brigham, P. Bouchequet, T. Andrillon, M. Chennaoui, E. Le Pennec, M. Rey, D. Léger. Sleep, 42:A128, 33rd Annual Meeting of the Associated Professional Sleep Societies, 2019. PDF DOI

BibTeX

@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}
}

Actes de conférences nationales

Représentation d'enregistrements de polysomnographie en trajectoires de basses dimensions dans l'espace latent. G. Solelhac, M. Brigham, P. Bouchequet, T. Andrillon, M. Chennaoui, E. Le Pennec, M. Rey, D. Léger. Médecine du Sommeil, 16(1):56, 2019. PDF DOI

BibTeX

@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}
}

2018 (10)

Articles de revue

PAC-Bayesian aggregation of affine estimators. L. Montuelle, E. Le Pennec. Nonparametric Statistics (3rd ISNPS, Avignon, 2016), Springer Proceedings in Mathematics & Statistics, Springer, pp. 133–144, 2018. PDF DOI arXiv

BibTeX

@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}
}

Variational Methods for Tomographic Reconstruction with Few Views. M. Bergounioux, I. Abraham, R. Abraham, G. Carlier, E. Le Pennec, E. Trélat. Milan Journal of Mathematics, 86(2):157–200, 2018. PDF DOI

BibTeX

@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}
}

Adaptive Estimation in the Nonparametric Random Coefficients Binary Choice Model by Needlet Thresholding. E. Gautier, E. Le Pennec. EJS, 12(1):277–320, 2018. PDF DOI arXiv HAL

BibTeX

@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}
}

Actes de conférences internationales

Automatic detection of ICMEs at 1 AU: a deep learning approach. G. Nguyen, N. Aunai, D. Fontaine, E. Le Pennec, A. Jeandet. AGU Fall Meeting 2018, Washington D.C., Abstract SM31D-3527, 2018. HAL

BibTeX

@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}
}

Actes de conférences nationales

Une nouvelle représentation de la polysomnographie par une technique de machine learning nonsupervisée. G. Solelhac, M. Brigham, C. Marini, P. Bouchequet, M. Chennaoui, E. Le Pennec, D. Léger. Médecine du Sommeil, 15(1):49, Résumés du Congrès du Sommeil. Marseille, 23-25 novembre 2017, 2018. PDF DOI

BibTeX

@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}
}

Livres

R pour la statistique et la science des données. P.-A. Cornillon, A. Guyader, F. Husson, N. Jégou, J. Josse, N. Klutchnikoff, E. Le Pennec, E. Matzner-Løber, L. Rouvière, B. Thieurmel. PUR, 2018. PDF

BibTeX

@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}
}

Prépublications

A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task. R. Besson, E. Le Pennec, S. Allassonnière, J. Stirnemann, E. Spaggiari, A. Neuraz. Preprint, 2018. PDF arXiv

BibTeX

@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}
}

Fractional-order variational numerical methods for tomographic reconstruction of binary images. M. Bergounioux, E. Le Pennec, E. Trélat. Preprint, 2018. PDF HAL

BibTeX

@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}
}

Posters

Machine learning methods to identify ICMEs automatically. G. Nguyen, D. Fontaine, N. Aunai, J. Vandenbossche, A. Jeandet, G. Lemaitre, B. Kégl, E. Le Pennec. Poster, EGU General Assembly, Vienna, avril 2018. HAL

BibTeX

@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}
}

Logiciels

ggwordcloud: A Word Cloud Geom for 'ggplot2'. E. Le Pennec, K. Slowikowski. R package, CRAN, 2018. DOI Lien

BibTeX

@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}
}

2017 (2)

Actes de conférences nationales

Optimisation d'arbre de décision pour un problème de détection précoce d'anomalies foetales. R. Besson, E. Le Pennec, S. Allassonnière. Journée de la SFdS, Avignon, 2017. PDF

BibTeX

@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}
}

Prépublications

Clustering and Model Selection via Penalized Likelihood for Different-sized Categorical Data Vectors. E. Derman, E. Le Pennec. Preprint, 2017. PDF arXiv

BibTeX

@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}
}

2016 (2)

Vulgarisation

Le « Big data » et les mathématiques. P. Massart, E. Le Pennec. A3 Magazine, Rayonnement du CNRS, juin 2016. PDF

BibTeX

@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}
}

El arte de cortar las cabezas sin dañar las. E. Le Pennec. Revista del Profesor de Matemática, 2016. PDF

BibTeX

@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}
}

2015 (1)

Actes de conférences nationales

Détection automatique de cibles sous-résolues. S. Thivin, E. Le Pennec, M. Prenat. Journée de la SFdS, Lille, 2015. PDF

BibTeX

@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}
}

2014 (4)

Articles de revue

Mixture of Gaussian regressions model with logistic weights, a penalized maximum likelihood approach. L. Montuelle, E. Le Pennec. Electron. J. Statist., 8(1):1661-1695, 2014. PDF DOI arXiv HAL

BibTeX

@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}
}

Unsupervised segmentation of hyperspectral images with spatialized Gaussian mixture model and model selection. S. Cohen, E. Le Pennec. OGST, 69(2):245–260, 2014. PDF DOI

BibTeX

@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}
}

Actes de conférences nationales

Agrégation PAC-bayésienne d'estimateurs par projection. L. Montuelle, E. Le Pennec. Journée de la SFdS, Rennes, 2014. PDF HAL

BibTeX

@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}
}

Détection de cibles dans des textures complexes, une approche par segmentation d'images en zones stationnaires. S. Thivin, E. Le Pennec, M. Prenat. Journée de la SFdS, Rennes, 2014. PDF

BibTeX

@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}
}

2013 (6)

Articles de revue

Partition-Based Conditional Density Estimation. S. Cohen, E. Le Pennec. ESAIM Probab. Stat., 17:672–697, 2013. PDF DOI

BibTeX

@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}
}

Actes de conférences nationales

Régression gaussienne à poids logistiques et maximum de vraisemblance pénalisé. L. Montuelle, E. Le Pennec. Journée de la SFdS, Toulouse, 2013. PDF HAL

BibTeX

@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}
}

Thèses

Some (statistical) applications of Ockham's principle. E. Le Pennec. HdR, Université Paris Sud, 2013. PDF HAL

BibTeX

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

Prépublications

Conditional Density Estimation by Penalized Likelihood Model Selection. S. Cohen, E. Le Pennec. Preprint, 2013. PDF

BibTeX

@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}
}

Rapports techniques

Adaptive Estimation in the Nonparametric Random Coefficients Binary Choice Model by Needlet Thresholding (extended version). E. Gautier, E. Le Pennec. Inria, RR-7647, 2013. PDF arXiv HAL

BibTeX

@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}
}

Vulgarisation

L'art de couper les têtes sans faire mal. E. Le Pennec. Mathématiques, l'explosion continue, 2013. PDF

BibTeX

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

2012 (1)

Articles de revue

Radon needlet thresholding. G. Kerkyacharian, E. Le Pennec, D. Picard. Bernoulli, 18(2):391–433, 2012. PDF DOI arXiv HAL

BibTeX

@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}
}

2011 (5)

Articles de revue

Bandlet Image Estimation with Model Selection. C. Dossal, E. Le Pennec, S. Mallat. Sig. Process., 91(12):2743–2753, 2011. PDF DOI arXiv HAL

BibTeX

@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}
}

European research platform IPANEMA at the SOLEIL synchrotron for ancient and historical materials. L. Bertrand, M.-A. Languille, S. Cohen, L. Robinet, C. Gervais, S. Leroy, D. Bernard, E. Le Pennec, W. Josse, J. Doucet, S. Schöder. J. Synchrotron Radiat., 18(5):765–772, 2011. PDF DOI

BibTeX

@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}
}

Adaptive Dantzig density estimation. K. Bertin, E. Le Pennec, V. Rivoirard. Ann. Inst. H. Poincaré Probab. Statist., 47(1):43–74, 2011. PDF DOI arXiv HAL

BibTeX

@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}
}

Actes de conférences nationales

Segmentation non supervisée d'image hyperspectrale par mélange de gaussiennes spatialisé. S. Cohen, E. Le Pennec. GRETSI 11, Bordeaux, 2011. PDF HAL

BibTeX

@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}
}

Rapports techniques

Conditional Density Estimation by Penalized Likelihood Model Selection and Applications. S. Cohen, E. Le Pennec. INRIA, RR-7596, 2011. PDF arXiv HAL

BibTeX

@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}
}

2010 (3)

Articles de revue

Inversion of noisy Radon transform by SVD based needlets. G. Kerkyacharian, G. Kyriazis, E. Le Pennec, P. Petrushev, D. Picard. Appl. Comput. Harmon. Anal., 28(1):24–45, 2010. PDF DOI arXiv HAL

BibTeX

@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}
}

Maxisets for Model Selection. F. Autin, E. Le Pennec, J.-M. Loubes, V. Rivoirard. Constr. Approx., 31(2):195–229, 2010. PDF DOI arXiv HAL

BibTeX

@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}
}

Thresholding methods to estimate the copula density. F. Autin, E. Le Pennec, K. Tribouley. J. Multivariate Anal., 101(1):200–222, 2010. PDF DOI arXiv HAL

BibTeX

@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}
}

2009 (3)

Actes de conférences internationales

NL-Means and aggregation procedures. J. Salmon, E. Le Pennec. ICIP 09, Cairo, pp. 2977–2980, 2009. PDF DOI

BibTeX

@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}
}

An aggregator point of view on NL-Means. E. Le Pennec, J. Salmon. SPIE Wavelet XIII 09, San Diego, 2009. PDF DOI

BibTeX

@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}
}

Actes de conférences nationales

Agrégation d'estimateurs pour le débruitage d'image. J. Salmon, E. Le Pennec. Journée de la SFdS, Bordeaux, 2009. PDF HAL

BibTeX

@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}
}

2008 (1)

Rapports techniques

Thresholding methods to estimate the copula density. F. Autin, E. Le Pennec, K. Tribouley. LPMA, Extended version arXiv:0802.2424, 2008. PDF arXiv

BibTeX

@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}
}

2007 (3)

Actes de conférences internationales

Geometrical Image Estimation with Orthogonal Bandlets Bases. G. Peyré, E. Le Pennec, C. Dossal, S. Mallat. SPIE Wavelet XII 07, San Diego, 2007. PDF DOI HAL

BibTeX

@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}
}

Actes de conférences nationales

Débruitage géométrique d'image dans des bases orthonormées de bandelettes. E. Le Pennec, C. Dossal, G. Peyré, S. Mallat. GRETSI 07, Troyes, 2007. PDF HAL

BibTeX

@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}
}

Vulgarisation

Des lunettes pour un télescope spatial sans aller dans l'espace? E. Le Pennec, D. Picard. Math Enigmes Express (CIJM), 2007. PDF

BibTeX

@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}
}

2006 (1)

Vulgarisation

Compression d'image. E. Le Pennec. Image des mathématiques (CNRS), 2006. PDF

BibTeX

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

2005 (2)

Articles de revue

Sparse Geometrical Image Representation with Bandelets. E. Le Pennec, S. Mallat. IEEE Trans. Image Process., 14(4):423–438, 2005. PDF DOI

BibTeX

@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}
}

Bandelet Image Approximation and Compression. E. Le Pennec, S. Mallat. Multiscale Model. Sim., 4(3):992–1039, 2005. PDF DOI

BibTeX

@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}
}

2003 (3)

Actes de conférences internationales

Geometrical Image Compression with Bandelets. E. Le Pennec, S. Mallat. VCIP 03, Lugano, Special Session, 2003. PDF DOI

BibTeX

@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}
}

Actes de conférences nationales

Bandelettes et représentation géométrique des images. E. Le Pennec, S. Mallat. GRETSI 03, Paris, 2003. PDF

BibTeX

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

Rapports techniques

Adaptation of regular grid filterings to irregular grids. C. Bernard, E. Le Pennec. CMAP, 2003. PDF

BibTeX

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

2002 (2)

Thèses

Bandelettes et représentations géométriques des images. E. Le Pennec. PhD Thesis, École Polytechnique, 2002. PDF HAL

BibTeX

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

Brevets

Method and apparatus for processing or compressing n-dimensional signals with warped wavelets packets and bandelets. C. Bernard, J. Kalifa, E. Le Pennec, S. Mallat. PCT/EP02/14903, 2002. PDF

BibTeX

@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}
}

2001 (3)

Actes de conférences internationales

Bandelet Representations for Image Compression. E. Le Pennec, S. Mallat. ICIP 01, Thessaloniki, Special Session, 2001. PDF DOI

BibTeX

@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}
}

Actes de conférences nationales

Représentation d'image par bandelettes et application à la compression. E. Le Pennec, S. Mallat. GRETSI 01, Toulouse, 2001. PDF

BibTeX

@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}
}

Brevets

Method and apparatus for processing or compressing n-dimensional signals by foveal filtering along trajectories. E. Le Pennec, S. Mallat. 09/834,587, 2001. PDF

BibTeX

@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}
}

2000 (1)

Actes de conférences internationales

Image Compression with Geometrical Wavelets. E. Le Pennec, S. Mallat. ICIP 00, Vancouver, 2000. PDF DOI

BibTeX

@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}
}

1997 (1)

Thèses

Modélisation des images par ondelettes. E. Le Pennec. Master Thesis, DEA MVA, Cachan, 1997. PDF

BibTeX

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

Exposés

Mon, 01 Jan 0001 00:00:00 +0000

2026 (1)

Reinforcement Learning: An Introduction and Some Results. E. Le Pennec. Séminaire Probabilités et Statistiques, LMO, Laboratoire de Mathématiques d'Orsay, Université Paris-Saclay, Orsay, France, avril 2026. Transparents

2025 (1)

Il était une fois l'intelligence artificielle. E. Le Pennec, E. Bacry, R. Ryder. Les Mardis de la donnée de santé (Health Data Hub, CNIL, DREES, France Assos Santé), webinaire, Online, mars 2025. Vidéo

2024 (3)

Modèles en mathématiques : réalité ou fiction ? E. Le Pennec. Colloque Sciences et Fiction : connaître et agir par la fiction, École polytechnique, Palaiseau, France, septembre 2024. Transparents
Reinforcement Learning: An Introduction and Some Results. E. Le Pennec. 9e Journée Statistique et Informatique pour la Science des Données à Paris-Saclay, IHES, Bures-sur-Yvette, France, avril 2024. Transparents Vidéo
Table ronde : Chat GPT, enjeux et perspectives. E. Le Pennec. Master Class Lycéennes Séphora Berrebi, IHP, Institut Henri Poincaré, Paris, France, avril 2024. Vidéo

2023 (3)

ChatGPT : enjeux et perspectives. E. Le Pennec. Congrès SFAR, Paris, Paris, France, septembre 2023. Transparents
Table ronde : ChatGPT, OpenAI, IA générative : au-delà de la hype. E. Le Pennec, L. Kameni, G. Leroy-Meline, T. Rayna. Technology for Change Days 2023, IP Paris, Collège de France, Paris, France, avril 2023.
Chat GPT : enjeux et perspectives. E. Le Pennec. Webinaire AX X-IT-Digital, Online, mars 2023. Transparents Vidéo

2022 (1)

Optimization of Sequential-Decision Problems in Health using Reinforcement Learning. E. Le Pennec, R. Besson, S. Allassonnière. MVA, ENS Paris-Saclay, ENS Paris-Saclay, Gif-sur-Yvette, France, septembre 2022. Transparents

2021 (1)

Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application. E. Le Pennec, R. Besson, S. Allassonnière. Seminaire Telecom, Telecom, Palaiseau, France, novembre 2021. Transparents

2019 (3)

Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application. E. Le Pennec, R. Besson, S. Allassonnière. ANR COSMOS, Inria Paris, Paris, France, novembre 2019. Transparents
Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application. E. Le Pennec, R. Besson, S. Allassonnière. Agro Paris, Agro Paris, Paris, France, octobre 2019. Transparents
ggwordcloud, a word cloud geometry for ggplot2. E. Le Pennec. useR!, Toulouse, Centre de congrés, Toulouse, juillet 2019. Transparents

2018 (1)

Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application. E. Le Pennec, R. Besson, S. Allassonnière. TSE, TSE, Toulouse, France, octobre 2018. Transparents

2017 (3)

Une Introduction à la Science des Données. E. Le Pennec. Groupama, Polytechnique, Palaiseau, novembre 2017.
A Gentle Introduction to Data Science. E. Le Pennec. DSE 2017, Brest, Brest, France, juillet 2017. Transparents
Shannon, son entropie et les statistiques. E. Le Pennec. Shannon 100, Musée des arts et métiers et IHP, Paris, février 2017.

2016 (4)

Probabilistic and Optimization Approaches in Classification. E. Le Pennec. JSTAR, Rennes, Agrocampus, Rennes, France, octobre 2016. Transparents
Data Science or Big Data. E. Le Pennec. Forum de l'X, Ecole Polytechnique, Palaiseau, France, octobre 2016. Transparents
The Importance of Optimization in Big Data. E. Le Pennec. SESO, Marne La Vallée, Ecole des Ponts, Marne La Vallée, France, juin 2016. Transparents
Detection Algorithm for Small Targets in Images of Complex Backgrounds. S. Thivin, M. Prenat, E. Le Pennec. OPTRO16, OCDE, Paris, France, février 2016. Transparents

2015 (9)

Data Science. E. Le Pennec. RTE, RTE, La Défense, Paris, France, novembre 2015. Transparents
Data Scientist : LE métier de demain ? E. Le Pennec, A. Ouorou, J.-F. Marcotorchino. rmsconf, octobre 2015. Transparents
Statistical and Optimization Approaches in Classification. A. Fermin, E. Le Pennec. RTE, RTE, La Défense, Paris, France, juin 2015. Transparents
R, Data Science and Teaching. E. Le Pennec. Rencontres R, Grenoble, 2 place Doyen Gosse, Grenoble, France, juin 2015. Transparents
Big Data? / Machine Learning. E. Le Pennec. Séminaire CPHT, École polytechnique, Palaiseau, France, juin 2015. Transparents
Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection. E. Le Pennec, S. Cohen. GdT ENS Ulm, ENS Ulm, rue d'Ulm, Paris, France, mai 2015. Transparents
Statistical vs Optimization Points of View in Classification. A. Fermin, E. Le Pennec. Labex MMEDII, Institut Henri Poincaré, Paris, France, avril 2015. Transparents
Introduction to the conference. E. Le Pennec. New Algorithms for Complex Data, Santa Ana Pueblo, Santa Ana Pueblo, New Mexico, USA, mars 2015. Transparents
Mixture of Gaussian Regressions with logistic weights and conditional density estimation. E. Le Pennec, L. Montuelle. ANR Calibration, Université de Nice, Nice, France, mars 2015. Transparents

2014 (9)

Statistical Learning vs Machine Learning in Classification. A. Fermin, E. Le Pennec. Minicurso CIMFAV Universidad de Valparaiso, Valparaiso, Chile, décembre 2014. Transparents
Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection. E. Le Pennec, S. Cohen. Sem. IMB, Université Bordeaux, place de la Victoire, Bordeaux, France, décembre 2014. Transparents
Sciences des Données et Données Massives. E. Le Pennec. 20e Journée de l'Intelligence Economique en Entreprise, École polytechnique, Palaiseau, France, décembre 2014. Transparents
Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection. E. Le Pennec, S. Cohen. Colloquium MAP5, Université Paris Descartes, rue des Saints-Pères, Paris, France, décembre 2014. Transparents
Non-supervised hyperspectral image segmentation, a conditional density approach. E. Le Pennec, S. Cohen. Daspac, Université Paris Diderot, Paris, France, mai 2014. Transparents
Mixture of Gaussian Regressions with logistic weights and conditional density estimation. E. Le Pennec, L. Montuelle. Alea (CMAP), École polytechnique, Palaiseau, France, mars 2014. Transparents
Mixture of Gaussian Regressions with logistic weights and conditional density estimation. E. Le Pennec, L. Montuelle. Sem. Dauphine, Université Paris Dauphine, Paris, France, mars 2014. Transparents
Classifiation And Regression Trees: une introduction. E. Le Pennec. GdT Orsay, Université Paris Sud, Orsay, France, février 2014.
Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection. E. Le Pennec, S. Cohen. Sem. CMLA, E.N.S., Cachan, France, janvier 2014. Transparents

2013 (6)

Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection. E. Le Pennec, S. Cohen. GdT Neurospin/Select, CEA, Saclay, France, juin 2013. Transparents
Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection. E. Le Pennec, S. Cohen. SMAI 2013, Seignosse, France, mai 2013. Transparents
Some (statistical) applications of Ockham's principle. E. Le Pennec. HdR, Paris Sud, Université Paris Sud, Orsay, France, mars 2013. Transparents
Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection. E. Le Pennec, S. Cohen. Séminaire, CMAP, École polytechnique, Palaiseau, France, mars 2013. Transparents
Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection. E. Le Pennec, S. Cohen. Statistical Image Analysis, Santa Fe, Santa Fe, New Mexico, USA, mars 2013. Transparents
Des puces dans la télé? E. Le Pennec. 2ème Forum Emploi Math, Paris, janvier 2013.

2012 (5)

Rencontres de Statistiques Mathématiques, CIRM. CIRM, Luminy, Marseille, France, décembre 2012.
Organisation Journée Big Data, Lyon. Campus de la Doua, Lyon, France, décembre 2012.
Journée MAS, Clermont-Ferrand. Université de Clermont-Ferrand, Clermont-Ferrand, France, août 2012.
Unsupervised hyperspectral image segmentation, conditional density estimation and penalized maximum likelihood model selection. E. Le Pennec, S. Cohen. CLAPEM XII, Viña del Mar, Viña del Mar, Chile, mars 2012. Transparents
Conditional density estimation by penalized maximum likelihood model selection. E. Le Pennec, S. Cohen. III Symposium of Statistical Modeling, Valparaiso, Universidad de Valparaiso, Valparaiso, Chile, mars 2012. Transparents

2011 (9)

Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection. E. Le Pennec, S. Cohen. Marseille, CIRM, Luminy, Marseille, France, novembre 2011. Transparents
Autour de deux problèmes d'optimisation en estimation statistique. E. Le Pennec, S. Cohen. Avignon, Université d'Avignon, Avignon, France, novembre 2011. Transparents
Segmentation non supervisée d'image hyperspectrale par mélange de gaussiennes spatialisé. E. Le Pennec, S. Cohen. GRETSI11, Bordeaux, Université Bordeaux 1, Bordeaux, France, septembre 2011. Transparents
Inversion tomographique par needlets de Radon ou l'art de couper efficacement les têtes sans trop faire mal. G. Kerkyacharian, E. Le Pennec, D. Picard. ANR DEMOS, Toulouse, Université Paul Sabatier, Toulouse, France, juin 2011. Transparents
Segmentation non supervisée, mélange de gaussiennes et algorithme E.M. E. Le Pennec, S. Cohen. Journées conjointes GDR MOA et GDR MSPC, La Londe, Var, France, juin 2011. Transparents
A brief survey of patch-based methods. E. Le Pennec, J. Salmon. Computational Methods for High Dimensional and Complex Data Sets, Santa Fe, Santa Fe, New Mexico, USA, avril 2011. Transparents
Estimation de densités conditionnelles par sélection de modèles et application à la segmentation d'images hyperspectrales. E. Le Pennec, S. Cohen. Modal'X, Nanterre, Université Nanterre Paris Ouest, Nanterre, France, février 2011. Transparents
Le format de compression JPEG ou comment les mathématiques servent (parfois) à quelque chose... E. Le Pennec. Lycée J.-B. Corot, Savigny, février 2011.
Estimation de densités conditionnelles par sélection de modèles et application à la segmentation d'images hyperspectrales. E. Le Pennec, S. Cohen. IECN, Nancy, Université de Nancy 1, Nancy, France, janvier 2011. Transparents

2010 (15)

Estimation de densités conditionnelles par sélection de modèles et application à la segmentation d'images hyperspectrales. E. Le Pennec, S. Cohen. IMT, Marseille, IMT, Université Marseille, Marseille, France, décembre 2010. Transparents
Rencontres de Statistiques Mathématiques, CIRM. CIRM, Luminy, Marseille, France, décembre 2010.
Estimation de densité par pénalisation ℓ₁ minimale. K. Bertin, E. Le Pennec, V. Rivoirard. 50 ans du LPMA, Halle aux Farines, Université Paris Diderot, Paris, France, décembre 2010. Transparents Vidéo
Estimation de densités conditionnelles par sélection de modèles et application à la segmentation d'images hyperspectrales. E. Le Pennec, S. Cohen. Séminaire Parisien de Statistique, Institut Henri Poincaré, Paris, France, novembre 2010. Transparents
Estimation de densité par pénalisation ℓ₁ minimale. K. Bertin, E. Le Pennec, V. Rivoirard. GdT ISIS, Telecom, rue Barrault, Paris, France, novembre 2010. Transparents
Le format de compression JPEG ou comment les mathématiques servent (parfois) à quelque chose... E. Le Pennec. APMEP, novembre 2010.
Segmentation d'images hyperspectrales par mélange de gaussiennes et sélection de modèles. E. Le Pennec, S. Cohen. GTOX, École polytechnique, Palaiseau, France, octobre 2010. Transparents
Segmentation d'images hyperspectrales par mélange de gaussiennes et sélection de modèles. E. Le Pennec, S. Cohen. Geometrica, Parc Club, Orsay, France, octobre 2010. Transparents
Concerto pour violons en stats majeures. E. Le Pennec, S. Cohen. Unithé ou Café, octobre 2010.
Segmentation d'images hyperspectrales par mélange de gaussiennes et sélection de modèles. E. Le Pennec, S. Cohen. Orsay, Université Paris Sud, Orsay, France, septembre 2010. Transparents
PAC-Bayesian approach for kernel methods. J. Salmon, E. Le Pennec. Journées MAS et Journée en l'honneur de Jacques Neveu, Talence, France, août 2010. Transparents
An aggregated point of view on NL-Means. E. Le Pennec, J. Salmon. Modélisation Statistique des Images, CIRM, Luminy, Marseille, France, mai 2010. Transparents
Modern Nonparametric Statistics: Going Beyond Asymptotic Minimax, Oberwolfach. Oberwolfach, Germany, mars 2010.
Segmentation d'images hyperspectrales par mélange de gaussiennes et sélection de modèles. E. Le Pennec, S. Cohen. ENSAE, ENSAE, Malakoff, France, mars 2010. Transparents
Segmentation d'images hyperspectrales. E. Le Pennec, S. Cohen. GTOX, École polytechnique, Palaiseau, France, février 2010. Transparents

2009 (9)

Density estimation by ℓ₁ minimal penalization. K. Bertin, E. Le Pennec, V. Rivoirard. Rencontres de Statistiques Mathématiques, CIRM, CIRM, Luminy, Marseille, France, décembre 2009. Transparents
Estimation de densité par pénalisation ℓ₁ minimale. K. Bertin, E. Le Pennec, V. Rivoirard. Orsay, Université Paris Sud, Orsay, France, novembre 2009. Transparents
Adaptive Dantzig density estimation. K. Bertin, E. Le Pennec, V. Rivoirard. Berlin, Weierstrass institute, Berlin, Germany, novembre 2009. Transparents Notes
Un point de vue agrégé sur les NL-Means. E. Le Pennec, J. Salmon. Journée STAR, Rennes, Université Rennes, campus de Beaulieu, Rennes, France, octobre 2009. Transparents
Inversion tomographique par needlets de Radon ou l'art de couper efficacement les têtes sans trop faire mal. G. Kerkyacharian, E. Le Pennec, D. Picard. Séminaire Image, 175 rue du Chevaleret, Paris, France, octobre 2009. Transparents
An aggregator point of view on NL-Means. E. Le Pennec, J. Salmon. SPIE Wavelet XIII, San Diego, San Diego, USA, août 2009. Transparents
Maxisets pour la sélection de modèles. E. Le Pennec, F. Autin, J.-M. Loubes, V. Rivoirard. Journée Statistique du Sud, Porquerolles, Porquerolles, France, juin 2009. Transparents
Estimation de densité par pénalisation ℓ₁ minimale. K. Bertin, E. Le Pennec, V. Rivoirard. GdT Statistique LPMA, 175 rue du Chevaleret, Paris, France, mars 2009. Transparents Notes
Inversion tomographique par needlets de Radon. G. Kerkyacharian, E. Le Pennec, D. Picard. CEREMADE, Université Paris Dauphine, Paris, France, janvier 2009. Transparents

2008 (11)

Rencontres de Statistiques Mathématiques, CIRM. CIRM, Luminy, Marseille, France, décembre 2008.
Inversion tomographique par needlets de Radon. G. Kerkyacharian, E. Le Pennec, D. Picard. Lille, Université Lille 1, Villeneuve-d'Ascq, France, novembre 2008. Transparents
Inversion tomographique par needlets de Radon. G. Kerkyacharian, E. Le Pennec, D. Picard. Approximation, modélisation géométrique et applications 08, CIRM, CIRM, Luminy, Marseille, France, novembre 2008. Notes Poster
Inversion tomographique par needlets de Radon ou l'art de couper efficacement les têtes sans trop faire mal. G. Kerkyacharian, E. Le Pennec, D. Picard. Toulouse, Université Paul Sabatier, Toulouse, France, octobre 2008. Transparents
Needlet de Radon ou comment couper efficacement les têtes? G. Kerkyacharian, E. Le Pennec, D. Picard. Journée de Rentrée LPMA, 175 rue du Chevaleret, Paris, France, septembre 2008. Transparents
Journée MAS, Rennes. Université Rennes, campus de Beaulieu, Rennes, France, août 2008.
Bandlets: Maxiset et réalité. E. Le Pennec, F. Autin, J.-M. Loubes, V. Rivoirard, C. Dossal, S. Mallat, G. Peyré. MAS 08, Université Rennes, campus de Beaulieu, Rennes, France, août 2008. Transparents
Radon Needlet. G. Kerkyacharian, E. Le Pennec, D. Picard. SIAM Imaging Sciences, San Diego, USA, août 2008. Transparents
Estimation tomographique et "needlets" de Radon. G. Kerkyacharian, E. Le Pennec, D. Picard. Orléans, Université d'Orléans, Rue de Chartres, Orléans, France, avril 2008. Transparents
Estimation tomographique et "needlets" de Radon. G. Kerkyacharian, E. Le Pennec, D. Picard. Modélisation Statistique des Images, CIRM, Luminy, Marseille, France, avril 2008. Transparents
Comment mather les images pour les comprimer? E. Le Pennec. Math Club, février 2008.

2007 (5)

Radon Needlet. G. Kerkyacharian, E. Le Pennec, D. Picard. Rencontres de Statistiques Mathématiques, CIRM, CIRM, Luminy, Marseille, France, décembre 2007. Transparents
Bandlets and Model Selection for Image Estimation. E. Le Pennec, F. Autin, J.-M. Loubes, V. Rivoirard, C. Dossal, S. Mallat, G. Peyré. MIM 07, CIRM, CIRM, Luminy, Marseille, France, septembre 2007. Transparents
Débruitage géométrique d'image dans des bases orthonormées de bandelettes. C. Dossal, E. Le Pennec, S. Mallat, G. Peyré. GRETSI 07, Troyes, Troyes, France, septembre 2007. Transparents
Bandlets: Maxiset et réalité. E. Le Pennec, F. Autin, J.-M. Loubes, V. Rivoirard, C. Dossal, S. Mallat, G. Peyré. SMAI 07, Praz sur Arly, France, juin 2007. Transparents
Maxiset, sélection de modèles et estimation d'images par bandelettes. E. Le Pennec, F. Autin, J.-M. Loubes, V. Rivoirard, C. Dossal, S. Mallat, G. Peyré. GdT Apprentissage, E.N.S. Ulm, rue d'Ulm, Paris, France, janvier 2007. Transparents Vidéo

2006 (5)

Rencontres de Statistiques Mathématiques, CIRM. CIRM, Luminy, Marseille, France, décembre 2006.
Maxiset, sélection de modèles et estimation d'images par bandelettes. E. Le Pennec, F. Autin, J.-M. Loubes, V. Rivoirard, C. Dossal, S. Mallat, G. Peyré. Séminaire Parisien de Statistique, Institut Henri Poincaré, Paris, France, octobre 2006. Transparents
Qu'estiment vraiment les bandelettes en traitement d'images ? Bandelettes, sélection de modèles et maxisets. E. Le Pennec, F. Autin, J.-M. Loubes, V. Rivoirard, C. Dossal, S. Mallat, G. Peyré. Séminaire Image, 175 rue du Chevaleret, Paris, France, octobre 2006. Transparents
Estimation, Géométrie et Bandelettes. C. Dossal, E. Le Pennec, S. Mallat. 8 CFR, Chambéry, Université, Chambery, France, août 2006. Transparents
Les Mathématiques de la compression d'images. E. Le Pennec. Math Club, mars 2006.

2005 (4)

Rencontres de Statistiques Mathématiques, CIRM. CIRM, Luminy, Marseille, France, décembre 2005.
Représentation multiéchelle des images et géométrie. C. Dossal, E. Le Pennec, S. Mallat. EGIM, Centrale Marseille, Marseille, France, octobre 2005. Transparents Notes
Le format de compression d'image JPEG ou comment les mathématiques servent (parfois) à quelque chose! E. Le Pennec. Fête de la science, Lycée Paul Langevin, octobre 2005.
Bandelettes, estimation géométrique des images et sélection de modèles. C. Dossal, E. Le Pennec, S. Mallat. Séminaire de Probabilités, LPMA, 175 rue du Chevaleret, Paris, France, mai 2005. Transparents

2004 (8)

Rencontres de Statistiques Mathématiques, CIRM. CIRM, Luminy, Marseille, France, décembre 2004.
Bandelettes et représentations géométriques des images. C. Dossal, E. Le Pennec, S. Mallat, G. Peyré. Gdt Statistique LPMA, 175 rue du Chevaleret, Paris, France, novembre 2004. Transparents
Bandlets and Applications. C. Dossal, E. Le Pennec, S. Mallat, G. Peyré. Course (4×3h), ETHZ, Zurich, Switzerland, septembre 2004. Transparents
Bandlets: the next generation. C. Dossal, E. Le Pennec, S. Mallat, G. Peyré. IMS-IDR-CWAIP Joint Workshop on Data Representation, Singapore, NUS, Singapore, Singapore, août 2004. Transparents
Geometric Image Representation with Bandelets. C. Dossal, E. Le Pennec, S. Mallat, G. Peyré. Wavelet Theory and Applications: New Directions and Challenges, Singapore, NUS, Singapore, Singapore, août 2004. Transparents
Bandelettes et représentations géométriques des images. C. Dossal, E. Le Pennec, S. Mallat. Caen, ENSICAEN, Boulevard du Maréchal Juin, Caen, France, mai 2004. Transparents
Bandelettes et sélection de modèles. C. Dossal, E. Le Pennec, S. Mallat. Orsay, Université Paris Sud, Orsay, France, mars 2004. Transparents
Représentation géométrique des images en bandelettes. C. Dossal, E. Le Pennec, S. Mallat. Grenoble, Université Joseph Fourier, Grenoble, France, février 2004. Transparents

2003 (6)

Compression et estimation en bandelettes. E. Le Pennec, S. Mallat. Séminaire Image, 175 rue du Chevaleret, Paris, France, novembre 2003. Transparents
Bandelettes et représentations géométriques des images. E. Le Pennec, S. Mallat. ASPROM, UIMM, avenue de Wagram, Paris, octobre 2003. Transparents
De Fourier aux bandelettes. E. Le Pennec, S. Mallat. CMAP, École polytechnique, Palaiseau, France, septembre 2003. Transparents
Bandelettes et représentation géométrique des images. E. Le Pennec, S. Mallat. GRETSI 03, Paris, Telecom, rue Barrault, Paris, France, septembre 2003. Transparents
Geometrical Image Compression with Bandelets. E. Le Pennec, S. Mallat. VCIP 03, Special Session, Lugano, University, Lugano, Switzerland, juillet 2003. Transparents
Bandelettes et représentations géométriques des images. E. Le Pennec, S. Mallat. Caen, ENSICAEN, Boulevard du Maréchal Juin, Caen, France, juin 2003. Transparents

2002 (2)

Bandelette et représentation géométrique des images. E. Le Pennec. Thèse, École polytechnique, Palaiseau, France, décembre 2002. Transparents
Sparse Geometrical Image Representation with Bandelets. E. Le Pennec, S. Mallat. CEMRACS, Cirm, Luminy, Marseille, France, août 2002. Transparents

2001 (2)

Bandelet Representations for Image Compression. E. Le Pennec, S. Mallat. ICIP 01, Special Session, Thessaloniki, Thessaloniki, Greece, octobre 2001. Transparents
Représentation d'image par bandelettes et application à la compression. E. Le Pennec, S. Mallat. GRETSI 01, Toulouse, Centre des congrès, Toulouse, France, septembre 2001. Transparents

2000 (2)

Image Compression with Geometrical Wavelets. E. Le Pennec, S. Mallat. ICIP 00, Vancouver, Vancouver, Canada, septembre 2000. Transparents
Geometrical Image Compression with Wavelets. E. Le Pennec, S. Mallat. Rank Fund, Grasmere, UK, avril 2000. Transparents