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ORCIDMathilde Mougeot
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2020 – today
- 2024
[c16]Gonzalo Iñaki Quintana, Vincent Jugnon, Laurence Vancamberg, Agnès Desolneux, Mathilde Mougeot:
Contrastive Learning: An Efficient Domain Adaptation Strategy for 2D Mammography Image Classification. ISBI 2024: 1-5- [i16]Edgar Jaber, Vincent Blot, Nicolas J.-B. Brunel, Vincent Chabridon, Emmanuel Remy, Bertrand Iooss, Didier Lucor, Mathilde Mougeot, Alessandro Leite:
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees. CoRR abs/2401.07733 (2024) - [i15]Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Christophe Millet, Mathilde Mougeot:
Geometry-aware framework for deep energy method: an application to structural mechanics with hyperelastic materials. CoRR abs/2405.03427 (2024) - [i14]Fouad Oubari, Mohamed El Baha, Raphaël Meunier, Rodrigue Décatoire, Mathilde Mougeot:
A Markov Random Field Multi-Modal Variational AutoEncoder. CoRR abs/2408.09576 (2024) - [i13]Gonzalo Iñaki Quintana, Laurence Vancamberg, Vincent Jugnon, Mathilde Mougeot, Agnès Desolneux:
BN-SCAFFOLD: controlling the drift of Batch Normalization statistics in Federated Learning. CoRR abs/2410.03281 (2024) - 2023
- [j7]Charles Truong, Mounir Atiq, Ludovic Minvielle, Renan Serra, Mathilde Mougeot, Nicolas Vayatis:
A Data Set for Fall Detection with Smart Floor Sensors. Image Process. Line 13: 183-197 (2023) - [c15]Thi Nguyen Khoa Nguyen
, Thibault Dairay, Raphaël Meunier, Christophe Millet, Mathilde Mougeot:
Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference. ICCS (4) 2023: 453-468 - [c14]Marie Garin, Antoine de Mathelin, Mathilde Mougeot, Nicolas Vayatis:
Personalized One-Shot Collaborative Learning. ICTAI 2023: 114-121 - [i12]Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis:
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification. CoRR abs/2304.04042 (2023) - [i11]Fouad Oubari, Raphaël Meunier, Rodrigue Décatoire, Mathilde Mougeot:
A Meta-Generation framework for Industrial System Generation. CoRR abs/2306.05123 (2023) - [i10]Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis:
Maximum Weight Entropy. CoRR abs/2309.15704 (2023) - 2022
- [j6]Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Mathilde Mougeot:
Physics-informed neural networks for non-Newtonian fluid thermo-mechanical problems: An application to rubber calendering process. Eng. Appl. Artif. Intell. 114: 105176 (2022) - [c13]Anthea Mérida, Argyris Kalogeratos, Mathilde Mougeot:
To Tree or Not to Tree? Assessing the Impact of Smoothing the Decision Boundaries. ICANN (1) 2022: 660-672 - [c12]Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis:
Discrepancy-Based Active Learning for Domain Adaptation. ICLR 2022 - [c11]Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis:
Fast and Accurate Importance Weighting for Correcting Sample Bias. ECML/PKDD (1) 2022: 659-674 - [i9]Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Mathilde Mougeot:
Physics-informed neural networks for non-Newtonian fluid thermo-mechanical problems: an application to rubber calendering process. CoRR abs/2201.13389 (2022) - [i8]Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis:
Fast and Accurate Importance Weighting for Correcting Sample Bias. CoRR abs/2209.04215 (2022) - [i7]Anthea Mérida, Argyris Kalogeratos, Mathilde Mougeot:
To tree or not to tree? Assessing the impact of smoothing the decision boundaries. CoRR abs/2210.03672 (2022) - [i6]Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Christophe Millet, Mathilde Mougeot:
Fixed-budget online adaptive mesh learning for physics-informed neural networks. Towards parameterized problem inference. CoRR abs/2212.11776 (2022) - 2021
- [c10]Amir Dib, Charles Truong, Laurent Oudre, Mathilde Mougeot, Nicolas Vayatis, Heloïse Nonne:
Bayesian Feature Discovery for Predictive Maintenance. EUSIPCO 2021: 1421-1425 - [c9]Antoine de Mathelin, Guillaume Richard, François Deheeger, Mathilde Mougeot, Nicolas Vayatis:
Adversarial Weighting for Domain Adaptation in Regression. ICTAI 2021: 49-56 - [c8]Mounir Atiq, Sergio Peignier, Mathilde Mougeot:
Constrained prediction time random forests using equivalent trees and genetic programming: application to fall detection model embedding. ICTAI 2021: 690-697 - [i5]Antoine de Mathelin, Mathilde Mougeot, Nicolas Vayatis:
Discrepancy-Based Active Learning for Domain Adaptation. CoRR abs/2103.03757 (2021) - [i4]Antoine de Mathelin, François Deheeger, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis:
ADAPT : Awesome Domain Adaptation Python Toolbox. CoRR abs/2107.03049 (2021) - [i3]Fouad Oubari, Antoine de Mathelin, Rodrigue Décatoire, Mathilde Mougeot:
A Binded VAE for Inorganic Material Generation. CoRR abs/2112.09570 (2021) - 2020
- [j5]Amy Luers, Lyse Langlois, Mathilde Mougeot, Sana Kharaghani, Alexandra Luccioni:
Sustainability in the Digital Age [Special Issue Introduction]. IEEE Technol. Soc. Mag. 39(2): 11-13 (2020) - [j4]Amy Luers, Jennifer Garard, Asun Lera St. Clair, Owen Gaffney, Tom Hassenboehler, Lyse Langlois, Mathilde Mougeot, Sasha Luccioni:
Leveraging Digital Disruptions for a Climate-Safe and Equitable World: The D^2S Agenda: [Commentary]. IEEE Technol. Soc. Mag. 39(2): 18-31 (2020) - [c7]Guillaume Richard, Antoine de Mathelin, Georges Hébrail, Mathilde Mougeot, Nicolas Vayatis:
Unsupervised Multi-source Domain Adaptation for Regression. ECML/PKDD (1) 2020: 395-411 - [c6]Théo Saillant, Jean-Christophe Weill, Mathilde Mougeot:
Predicting Job Power Consumption Based on RJMS Submission Data in HPC Systems. ISC 2020: 63-82 - [i2]Antoine de Mathelin, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis:
Adversarial Weighting for Domain Adaptation in Regression. CoRR abs/2006.08251 (2020) - [i1]Anthea Mérida Montes de Oca, Argyris Kalogeratos, Mathilde Mougeot:
Model family selection for classification using Neural Decision Trees. CoRR abs/2006.11458 (2020)
2010 – 2019
- 2019
- [c5]Ludovic Minvielle, Mounir Atiq, Sergio Peignier, Mathilde Mougeot:
Transfer Learning on Decision Tree with Class Imbalance. ICTAI 2019: 1003-1010 - 2017
- [c4]Ludovic Minvielle, Mounir Atiq, Renan Serra, Mathilde Mougeot, Nicolas Vayatis:
Fall detection using smart floor sensor and supervised learning. EMBC 2017: 3445-3448 - 2016
- [c3]Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot:
anomaly detection on spectrograms using data-driven and fixed dictionary representations. ESANN 2016 - [c2]Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot:
Dictionary Comparison for Anomaly Detection on Aircraft Engine Spectrograms. MLDM 2016: 362-376 - 2014
- [j3]Mathilde Mougeot, Dominique Picard, Karine Tribouley:
LOL selection in high dimension. Comput. Stat. Data Anal. 71: 743-757 (2014) - 2013
- [j2]Mathilde Mougeot, Dominique Picard, Karine Tribouley, Vincent Lefieux, Laurence Maillard-Teyssier:
Sparse Approximation and Fit of Intraday Load Curves in a High Dimensional Framework. Adv. Data Sci. Adapt. Anal. 5(4) (2013)
1990 – 1999
- 1991
- [j1]Mathilde Mougeot, Robert Azencott, Bernard Angéniol:
Image compression with back propagation: Improvement of the visual restoration using different cost functions. Neural Networks 4(4): 467-476 (1991)
1980 – 1989
- 1989
- [c1]Mathilde Mougeot, Robert Azencott, Bernard Angéniol:
A Study of Image Compression with Backpropagation. NATO Neurocomputing 1989: 333-336
Coauthor Index
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