Mathilde mougeot

60
Documents
Affiliations actuelles
  • CB - Centre Borelli - UMR 9010 (CB)
  • Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)
  • Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)
Identifiants chercheurs

Publications

34
19
5
13
2
2
1
1
1
1
1
1
2

Publications

Image document

Sensitivity Analyses of a Multi-Physics Long-Term Clogging Model For Steam Generators

Edgar Jaber , Vincent Chabridon , Emmanuel Remy , Michaël Baudin , Didier Lucor et al.
International Journal for Uncertainty Quantification, 2024, 15 (1), pp. 27-45. ⟨10.1615/Int.J.UncertaintyQuantification.2024051489⟩
Article dans une revue hal-04381960 v2

A Meta-Generation framework for Industrial System Generation

Fouad Oubari , Raphael Meunier , Rodrigue Décatoire , Mathilde Mougeot
Lecture Notes in Networks and Systems, In press
Article dans une revue hal-04464883 v1
Image document

Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification

Gonzalo Iñaki Quintana , Zhijin Li , Laurence Vancamberg , Mathilde Mougeot , Agnès Desolneux et al.
Bioengineering, 2023, 10 (5), pp.534. ⟨10.3390/bioengineering10050534⟩
Article dans une revue hal-04300197 v1
Image document

A Data Set for Fall Detection with Smart Floor Sensors

Charles Truong , Mounir Atiq , Ludovic Minvielle , Renan Serra , Mathilde Mougeot et al.
Image Processing On Line, 2023, 13 (3), pp.183-197. ⟨10.5201/ipol.2023.389⟩
Article dans une revue hal-04547042 v1

Physics-informed neural networks for non-Newtonian fluid thermo-mechanical problems: An application to rubber calendering process

Thi Nguyen Khoa Nguyen , Thibault Dairay , Raphaël Meunier , Mathilde Mougeot
Engineering Applications of Artificial Intelligence, 2022, 114, pp.105176. ⟨10.1016/j.engappai.2022.105176⟩
Article dans une revue (article de synthèse) hal-04477017 v1
Image document

Machine Learning Methods Applied to the Global Modeling of Event-Driven Pitch Angle Diffusion Coefficients During High Speed Streams

G. Kluth , J.-F. Ripoll , S. Has , A. Fischer , M. Mougeot et al.
Frontiers in Physics, 2022, 10, ⟨10.3389/fphy.2022.786639⟩
Article dans une revue hal-04549007 v1

Using Machine-Learning Methods to Improve Surface Wind Speed from the Outputs of a Numerical Weather Prediction Model

Naveen Goutham , Bastien Alonzo , Aurore Dupré , Riwal Plougonven , Rebeca Doctors et al.
Boundary-Layer Meteorology, 2021, 179, pp.133-161. ⟨10.1007/s10546-020-00586-x⟩
Article dans une revue insu-03726954 v1

Mass measurements of $^{99-101}$In challenge ab initio nuclear theory of the nuclide $^{100}$Sn

M. Mougeot , D. Atanasov , J. Karthein , R.N. Karthein , R.N. Wolf et al.
Nature Physics, 2021, 17, pp.1099. ⟨10.1038/s41567-021-01326-9⟩
Article dans une revue hal-03371193 v1
Image document

KFC: A clusterwise supervised learning procedure based on the aggregation of distances

Sothea Has , Aurélie Fisher , Mathilde Mougeot
Journal of Statistical Computation and Simulation, 2021, ⟨10.1080/00949655.2021.1891539⟩
Article dans une revue hal-02280297 v3

Predicting Job Power Consumption Based on RJMS Submission Data in HPC Systems

Théo Saillant , Jean-Christophe Weill , Mathilde Mougeot
Lecture Notes in Computer Science, 2020, High Performance Computing 35th International Conference, ISC High Performance 2020, Frankfurt/Main, Germany, June 22–25, 2020, Proceedings, 12151, pp.63-82. ⟨10.1007/978-3-030-50743-5_4⟩
Article dans une revue hal-04553110 v1

Examining the $N$ = 28 shell closure through high-precision mass measurements of $^{46-48}$Ar

M. Mougeot , D. Atanasov , C. Barbieri , K. Blaum , M. Breitenfeld et al.
Phys.Rev.C, 2020, 102 (1), pp.014301. ⟨10.1103/PhysRevC.102.014301⟩
Article dans une revue hal-02879523 v1
Image document

Aggregation using input-output trade-off

Aurélie Fischer , Mathilde Mougeot
Journal of Statistical Planning and Inference, 2019, 200, pp.1-19. ⟨10.1016/j.jspi.2018.08.001⟩
Article dans une revue hal-01726449 v1

From Numerical Weather Prediction Outputs to Accurate Local Surface Wind Speed: Statistical Modeling and Forecasts

Bastien Alonzo , Riwal Plougonven , Mathilde Mougeot , Aurélie Fischer , Aurore Dupré et al.
IEEE Access, 2018, Springer Proceedings in Mathematics & Statistics, 254, pp.23-44. ⟨10.1007/978-3-319-99052-1_2⟩
Article dans une revue hal-04055852 v1

Precision Mass Measurement of $^{58-63}$Cr: Nuclear Collectivity towards the $N=40$ Island of Inversion

M. Mougeot , D. Atanasov , K. Blaum , K. Chrysalidis , T. Day Goodacre et al.
Physical Review Letters, 2018, 120, pp.232501. ⟨10.1103/PhysRevLett.120.232501⟩
Article dans une revue hal-01867505 v1
Image document

Statistical learning for wind power : a modeling and stability study towards forecasting

Aurélie Fischer , Lucie Montuelle , Mathilde Mougeot , Dominique Picard
Wind Energy, 2017, 20 (12), pp.2037 - 2047. ⟨10.1002/we.2139⟩
Article dans une revue hal-01373429 v2

NMF-based decomposition for anomaly detection applied to vibration analysis

Mina Abdel-Sayed , Daniel Duclos , Gilles Fay , Jerome Lacaille , Mathilde Mougeot
The International Journal of Condition Monitoring, 2016, 6 (3), pp.73-81. ⟨10.1784/204764216819708104⟩
Article dans une revue hal-02526610 v1

LOL selection in high dimension

M. Mougeot , D. Picard , K. Tribouley
Computational Statistics and Data Analysis, 2014, 71, pp.743-757
Article dans une revue hal-01025832 v1

Sparse approximation and fit of intraday load curves in a high dimensional framework

M. Mougeot , D. Picard , K. Tribouley , V. Lefieux , L. Maillard-Teyssier
Advances in Adaptive Data Analysis , 2013, 5 (4), 23 pp. - 1350016
Article dans une revue hal-01025826 v1

Grouping strategies and thresholding for high dimensional linear models

M. Mougeot , D. Picard , K. Tribouley
Journal of Statistical Planning and Inference, 2013, 143 (9), pp.1417-1438. ⟨10.1016/j.jspi.2013.03.001⟩
Article dans une revue hal-01025810 v1

Sloshing in the shipping industry: risk modelling through multivariate heavy-tail analysis

Stéphan Clémençon , Antoine Dematteo , Mathilde Mougeot , N. Vayatis
Journal of the Acoustical Society of America, 2012
Article dans une revue hal-02286349 v1

Learning Out of Leaders: Regression for high dimension

M. Mougeot , D. Picard , K. Tribouley
Journal of the Royal Statistical Society: Series B, 2012, 74 (3), pp.475-513
Article dans une revue hal-00705291 v1

Minimax comparison for tail indices

M. Mougeot , K. Tribouley
Annals of the Institute of Statistical Mathematics, 2010, 62 (2), pp.383-412
Article dans une revue hal-00708204 v1
Image document

Contrastive learning: an efficient Domain Adaptation strategy for 2D mammography image classification

Gonzalo Iñaki Quintana , Vincent Jugnon , Laurence Vancamberg , Agnès Desolneux , Mathilde Mougeot
2024 IEEE 21st International Symposium on Biomedical Imaging (ISBI), IEEE, May 2024, Athens, Greece
Communication dans un congrès hal-04577704 v1

Personalized One-Shot Collaborative Learning

Marie Garin , Antoine de Mathelin , Mathilde Mougeot , Nicolas Vayatis
2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2023, Atlanta, France. pp.114-121, ⟨10.1109/ICTAI59109.2023.00024⟩
Communication dans un congrès hal-04546500 v1
Image document

Discrepancy-Based Active Learning for Domain Adaptation

Antoine de Mathelin , François Deheeger , Mathilde Mougeot , Nicolas Vayatis
International Conference on Learning Representations, 2022, Online, United States
Communication dans un congrès hal-03161091 v2

To Tree or Not to Tree? Assessing the Impact of Smoothing the Decision Boundaries

Anthea Mérida , Argyris Kalogeratos , Mathilde Mougeot
31st International Conference on Artificial Neural Networks, Sep 2022, Bristol, United Kingdom. pp.660-672, ⟨10.1007/978-3-031-15919-0_55⟩
Communication dans un congrès hal-04550556 v1

Exploring pitch-angle diffusion during high speed streams with neural networks

J.-F. Ripoll , G. Kluth , S. Has , A. Fischer , M. Mougeot et al.
2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC), May 2022, Gran Canaria, Spain. pp.1-4, ⟨10.23919/AT-AP-RASC54737.2022.9814235⟩
Communication dans un congrès hal-04547533 v1
Image document

Fast and Accurate Importance Weighting for Correcting Sample Bias

Antoine de Mathelin , Francois Deheeger , Mathilde Mougeot , Nicolas Vayatis
Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2022, Grenoble, France. pp.659-674
Communication dans un congrès hal-04455961 v1

Machine Learning Based Prediction of Fatigue Events in Railway Rails

Vincent Laurent , Olivier Vo Van , Mathilde Mougeot , Jean-Michel Ghidaglia
15th WCEAM 2021, Apr 2021, online, Brazil. pp.455-466, ⟨10.1007/978-3-030-96794-9_42⟩
Communication dans un congrès hal-04550563 v1
Image document

A Binded VAE for Inorganic Material Generation

Fouad Oubari , Antoine de Mathelin , Rodrigue Décatoire , Mathilde Mougeot
NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, Dec 2012, Online, France. ⟨10.48550/arXiv.2112.09570⟩
Communication dans un congrès hal-04464893 v1

Bayesian Feature Discovery for Predictive Maintenance

Amir Dib , Charles Truong , Laurent Oudre , Mathilde Mougeot , Nicolas Vayatis et al.
2021 29th European Signal Processing Conference (EUSIPCO), Aug 2021, Dublin, France. pp.1421-1425, ⟨10.23919/EUSIPCO54536.2021.9616188⟩
Communication dans un congrès hal-04473253 v1
Image document

Adversarial Weighting for Domain Adaptation in Regression

Antoine de Mathelin , Guillaume Richard , François Deheeger , Mathilde Mougeot , Nicolas Vayatis
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021, Online, United States. pp.49-56, ⟨10.1109/ICTAI52525.2021.00015⟩
Communication dans un congrès hal-02867802 v4
Image document

Handling Distribution Shift in Tire Design

Antoine de Mathelin , Francois Deheeger , Mathilde Mougeot , Nicolas Vayatis
NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and Applications, Dec 2021, Online, United States
Communication dans un congrès hal-04529662 v1
Image document

Unsupervised Multi-Source Domain Adaptation for Regression

Guillaume Richard , Antoine de Mathelin , Georges Hébrail , Mathilde Mougeot , Nicolas Vayatis
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent, Belgium. pp.395-411, ⟨10.1007/978-3-030-67658-2_23⟩
Communication dans un congrès hal-02543790 v1

Transfer Learning on Decision Tree with Class Imbalance

Ludovic Minvielle , Mounir Atiq , Sergio Peignier , Mathilde Mougeot
31st IEEE International Conference on Tools with Artificial Intelligence, Nov 2019, Portland, Oregon, United States. pp.1003-1010, ⟨10.1109/ICTAI.2019.00141⟩
Communication dans un congrès hal-02369044 v1

Statistical Learning to Assess Overhead Line Lifespan

V. Laurent , M. Mougeot , C. Yang , F. Hafid , Jean-Michel Ghidaglia et al.
Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2018), Nov 2018, Dubrovnik, Croatia. 47 (5 pp.)-47 (5 pp.), ⟨10.1049/cp.2018.1879⟩
Communication dans un congrès hal-03292402 v1
Image document

Assistance for home care of the elderly with sensor solutions.

Julie Oger , Mathilde Mougeot , Stéphane Besseau
Journées d'Etude sur la TéléSANté, 6ème edition, Pôle Capteurs, Université d'Orléans, May 2017, Bourges, France
Communication dans un congrès hal-01692425 v1

Forecasting Intra Day Load Curves Using Sparse Functional Regression

M. Mougeot , D. Picard , V. Lefieux , L. Maillard-Teyssier
the International Workshop on Industry Practices for Forecasting , 2013, Paris, France. pp.161-181
Communication dans un congrès hal-01267509 v1
Image document

Towards an Optimal Collocation Point Strategy for PINNs

Chourouk El Hassanieh , Mathilde Mougeot
Le Consortium Recherche & Industrie CIROQUO, May 2025, Lyon, France
Poster de conférence hal-05088940 v1

Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference

Thi Nguyen Khoa Nguyen , Thibault Dairay , Raphaël Meunier , Christophe Millet , Mathilde Mougeot
International Conference on Computational Science, 10476, Springer Nature Switzerland, pp.453-468, 2023, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-36027-5_36⟩
Proceedings/Recueil des communications hal-04477025 v1
Image document

From theoretical to practical transfer learning: the ADAPT library

Antoine de Mathelin , Francois Deheeger , Mathilde Mougeot , Nicolas Vayatis
Roozbeh Razavi-Far; Boyu Wang; Matthew E. Taylor; Qiang Yang. Federated and Transfer Learning, 27, Springer International Publishing, pp.283-306, 2022, Adaptation, Learning, and Optimization, ⟨10.1007/978-3-031-11748-0_12⟩
Chapitre d'ouvrage hal-04529706 v1

Hybrid Modelling for Lifetime Prediction

Fikri Hafid , Maxime Gueguin , Vincent Laurent , Mathilde Mougeot , Nicolas Vayatis et al.
Engineering Assets and Public Infrastructures in the Age of Digitalization, Springer International Publishing, pp.387-395, 2020, Lecture Notes in Mechanical Engineering, ⟨10.1007/978-3-030-48021-9_43⟩
Chapitre d'ouvrage hal-04552033 v1

Homogeneous Climate Regions Using Learning Algorithms

Mathilde Mougeot , Dominique Picard , Vincent Lefieux , Miranda Marchand
Renewable Energy: Forecasting and Risk Management, 254, Springer International Publishing, pp.95-118, 2018, Springer Proceedings in Mathematics & Statistics, ⟨10.1007/978-3-319-99052-1_5⟩
Chapitre d'ouvrage hal-04553147 v1

Dictionary Comparison for Anomaly Detection on Aircraft Engine Spectrograms

Mina Abdel-Sayed , Daniel Duclos , Gilles Fay , Jérôme Lacaille , Mathilde Mougeot
Machine Learning and Data Mining in Pattern Recognition, 9729, pp.362-376, 2016, Lecture Notes in Computer Science book series, ⟨10.1007/978-3-319-41920-6_28⟩
Chapitre d'ouvrage hal-02526568 v1

Traffic safety: non-linear causation for injury severity

M. Mougeot , R. Azencott
M. Guarascio, G. Reniers, C.A. Brebbia, F. Garzia. Safety and Security Engineering IV, WIT Press, pp.241-252, 2011
Chapitre d'ouvrage hal-00706009 v1

Traffic safety: non-linear causation for injury severity

M. Mougeot , R. Azencott
M. Guarascio, G. Reniers, C.A. Brebbia, F. Garzia. Safety and Security Engineering IV, WIT Press, pp.241-252, 2011
Chapitre d'ouvrage hal-00708206 v1

Learning out of leaders

G. Kerkyacharian , M. Mougeot , D. Picard , K. Tribouley
R. A. DeVore, A. Kunoth. Multiscale, Nonlinear and Adaptive Approximation, Springer, pp.295-324, 2009
Chapitre d'ouvrage hal-00446301 v1

Procédé de détection d'anomalie de turbomachine par analyse vibratoire automatisée

Mina Abdel-Sayed , Daniel Duclos , Jérôme Lacaille , Gilles Faÿ , Mathilde Mougeot
France, Patent n° : FR3035215B1. 2018, https://worldwide.espacenet.com/patent/search/family/054478092/publication/FR3035215B1?q=FR3035215B1
Brevet hal-04576221 v1
Image document

Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application

Gonzalo Iñaki Quintana , Laurence Vancamberg , Vincent Jugnon , Agnès Desolneux , Mathilde Mougeot
2025
Pré-publication, Document de travail hal-04922401 v1
Image document

ADAPT : Awesome Domain Adaptation Python Toolbox

Antoine de Mathelin , Mounir Atiq , Guillaume Richard , Alejandro de la Concha , Mouad Yachouti et al.
2024
Pré-publication, Document de travail hal-04455951 v1
Image document

Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees

Edgar Jaber , Vincent Blot , Nicolas Brunel , Vincent Chabridon , Emmanuel Remy et al.
2024
Pré-publication, Document de travail hal-04389163 v1
Image document

Maximum Weight Entropy

Antoine de Mathelin , François Deheeger , Mathilde Mougeot , Nicolas Vayatis
2024
Pré-publication, Document de travail hal-04455967 v1
Image document

Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification

Antoine de Mathelin , Francois Deheeger , Mathilde Mougeot , Nicolas Vayatis
2024
Pré-publication, Document de travail hal-04455937 v1
Image document

Bayesian Feature Discovery for Predictive Maintenance

Amir Dib , Charles Truong , Laurent Oudre , Mathilde Mougeot , Nicolas Vayatis et al.
2021
Pré-publication, Document de travail hal-03154496 v1
Image document

Budget learning based on equivalent trees and genetic algorithm : application to fall detection algorithm embedding

Mounir Atiq , Sergio Peignier , Mathilde Mougeot
2020
Pré-publication, Document de travail hal-02933582 v1
Image document

Sloshing in the LNG shipping industry: risk modelling through multivariate heavy-tail analysis

Antoine Dematteo , Stéphan Clémençon , Nicolas Vayatis , Mathilde Mougeot
2013
Pré-publication, Document de travail hal-00911537 v1
Image document

Learning Out of Leaders

Gerard Kerkyacharian , Mathilde Mougeot , Dominique Picard , Karine Tribouley
2010
Pré-publication, Document de travail hal-00445690 v1