Mathilde Mougeot

According to our database, Mathilde Mougeot authored at least 36 papers between 1989 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

BN-SCAFFOLD: controlling the drift of Batch Normalization statistics in Federated Learning.

Gonzalo Iñaki Quintana, Laurence Vancamberg, Vincent Jugnon, Mathilde Mougeot, Agnès Desolneux

CoRR, 2024

A Markov Random Field Multi-Modal Variational AutoEncoder.

Fouad Oubari, Mohamed El Baha, Raphaël Meunier, Rodrigue Décatoire, Mathilde Mougeot

CoRR, 2024

Geometry-aware framework for deep energy method: an application to structural mechanics with hyperelastic materials.

Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Christophe Millet, Mathilde Mougeot

CoRR, 2024

Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees.

Edgar Jaber, Vincent Blot, Nicolas J.-B. Brunel, Vincent Chabridon, Emmanuel Remy, Bertrand Iooss, Didier Lucor, Mathilde Mougeot, Alessandro Leite

CoRR, 2024

Contrastive Learning: An Efficient Domain Adaptation Strategy for 2D Mammography Image Classification.

Gonzalo Iñaki Quintana, Vincent Jugnon, Laurence Vancamberg, Agnès Desolneux, Mathilde Mougeot

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

A Data Set for Fall Detection with Smart Floor Sensors.

Charles Truong, Mounir Atiq, Ludovic Minvielle, Renan Serra, Mathilde Mougeot, Nicolas Vayatis

Image Process. Line, 2023

Maximum Weight Entropy.

Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

CoRR, 2023

A Meta-Generation framework for Industrial System Generation.

Fouad Oubari, Raphaël Meunier, Rodrigue Décatoire, Mathilde Mougeot

CoRR, 2023

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

Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

CoRR, 2023

Personalized One-Shot Collaborative Learning.

Marie Garin, Antoine de Mathelin, Mathilde Mougeot, Nicolas Vayatis

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

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

Proceedings of the Computational Science - ICCS 2023, 2023

2022

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

Eng. Appl. Artif. Intell., 2022

Fixed-budget online adaptive mesh learning for physics-informed neural networks. Towards parameterized problem inference.

Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Christophe Millet, Mathilde Mougeot

CoRR, 2022

Fast and Accurate Importance Weighting for Correcting Sample Bias.

Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Discrepancy-Based Active Learning for Domain Adaptation.

Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Anthea Mérida, Argyris Kalogeratos, Mathilde Mougeot

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

A Binded VAE for Inorganic Material Generation.

Fouad Oubari, Antoine de Mathelin, Rodrigue Décatoire, Mathilde Mougeot

CoRR, 2021

ADAPT : Awesome Domain Adaptation Python Toolbox.

Antoine de Mathelin, François Deheeger, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis

CoRR, 2021

Discrepancy-Based Active Learning for Domain Adaptation.

Antoine de Mathelin, Mathilde Mougeot, Nicolas Vayatis

CoRR, 2021

Adversarial Weighting for Domain Adaptation in Regression.

Antoine de Mathelin, Guillaume Richard, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Constrained prediction time random forests using equivalent trees and genetic programming: application to fall detection model embedding.

Mounir Atiq, Sergio Peignier, Mathilde Mougeot

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Bayesian Feature Discovery for Predictive Maintenance.

Amir Dib, Charles Truong, Laurent Oudre, Mathilde Mougeot, Nicolas Vayatis, Heloïse Nonne

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Sustainability in the Digital Age [Special Issue Introduction].

Amy Luers, Lyse Langlois, Mathilde Mougeot, Sana Kharaghani, Alexandra Luccioni

IEEE Technol. Soc. Mag., 2020

Leveraging Digital Disruptions for a Climate-Safe and Equitable World: The D^2S Agenda: [Commentary].

Amy Luers, Jennifer Garard, Asun Lera St. Clair, Owen Gaffney, Tom Hassenboehler, Lyse Langlois, Mathilde Mougeot, Sasha Luccioni

IEEE Technol. Soc. Mag., 2020

Model family selection for classification using Neural Decision Trees.

Anthea Mérida Montes de Oca, Argyris Kalogeratos, Mathilde Mougeot

CoRR, 2020

Adversarial Weighting for Domain Adaptation in Regression.

Antoine de Mathelin, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis

CoRR, 2020

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

Théo Saillant, Jean-Christophe Weill, Mathilde Mougeot

Proceedings of the High Performance Computing - 35th International Conference, 2020

Unsupervised Multi-source Domain Adaptation for Regression.

Guillaume Richard, Antoine de Mathelin, Georges Hébrail, Mathilde Mougeot, Nicolas Vayatis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

Transfer Learning on Decision Tree with Class Imbalance.

Ludovic Minvielle, Mounir Atiq, Sergio Peignier, Mathilde Mougeot

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2017

Fall detection using smart floor sensor and supervised learning.

Ludovic Minvielle, Mounir Atiq, Renan Serra, Mathilde Mougeot, Nicolas Vayatis

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Dictionary Comparison for Anomaly Detection on Aircraft Engine Spectrograms.

Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

anomaly detection on spectrograms using data-driven and fixed dictionary representations.

Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2014

LOL selection in high dimension.

Mathilde Mougeot, Dominique Picard, Karine Tribouley

Comput. Stat. Data Anal., 2014

2013

Sparse Approximation and Fit of Intraday Load Curves in a High Dimensional Framework.

Mathilde Mougeot, Dominique Picard, Karine Tribouley, Vincent Lefieux, Laurence Maillard-Teyssier

Adv. Data Sci. Adapt. Anal., 2013

1991

Image compression with back propagation: Improvement of the visual restoration using different cost functions.

Mathilde Mougeot, Robert Azencott, Bernard Angéniol

Neural Networks, 1991

1989

A Study of Image Compression with Backpropagation.

Mathilde Mougeot, Robert Azencott, Bernard Angéniol

Proceedings of the Neurocomputing - Algorithms, Architectures and Applications, Proceedings of the NATO Advanced Research Workshop on Neurocomputing Algorithms, Architectures and Applications, Les Arcs, France, February 27, 1989