Mathilde Mougeot

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 32

Top Topics

Domain Adaptation

Top Venues

IEEE Technol. Soc. Mag.

Publications

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 (2024)
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 (2024)
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)
Marie Garin, Antoine de Mathelin, Mathilde Mougeot, Nicolas Vayatis
Personalized One-Shot Collaborative Learning. ICTAI (2023)
Fouad Oubari, Raphaël Meunier, Rodrigue Décatoire, Mathilde Mougeot
A Meta-Generation framework for Industrial System Generation. CoRR (2023)
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 (2023)
Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification. CoRR (2023)
Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
Maximum Weight Entropy. CoRR (2023)
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 (2022)
Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
Fast and Accurate Importance Weighting for Correcting Sample Bias. ECML/PKDD (1) (2022)
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 (2022)
Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
Discrepancy-Based Active Learning for Domain Adaptation. ICLR (2022)
Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
Fast and Accurate Importance Weighting for Correcting Sample Bias. CoRR (2022)
Anthea Mérida, Argyris Kalogeratos, Mathilde Mougeot
To Tree or Not to Tree? Assessing the Impact of Smoothing the Decision Boundaries. ICANN (1) (2022)
Anthea Mérida, Argyris Kalogeratos, Mathilde Mougeot
To tree or not to tree? Assessing the impact of smoothing the decision boundaries. CoRR (2022)
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 (2022)
Antoine de Mathelin, Mathilde Mougeot, Nicolas Vayatis
Discrepancy-Based Active Learning for Domain Adaptation. CoRR (2021)
Amir Dib, Charles Truong, Laurent Oudre, Mathilde Mougeot, Nicolas Vayatis, Heloïse Nonne
Bayesian Feature Discovery for Predictive Maintenance. EUSIPCO (2021)
Antoine de Mathelin, Guillaume Richard, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
Adversarial Weighting for Domain Adaptation in Regression. ICTAI (2021)
Antoine de Mathelin, François Deheeger, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis
ADAPT : Awesome Domain Adaptation Python Toolbox. CoRR (2021)
Fouad Oubari, Antoine de Mathelin, Rodrigue Décatoire, Mathilde Mougeot
A Binded VAE for Inorganic Material Generation. CoRR (2021)
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)
Anthea Mérida Montes de Oca, Argyris Kalogeratos, Mathilde Mougeot
Model family selection for classification using Neural Decision Trees. CoRR (2020)
Antoine de Mathelin, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis
Adversarial Weighting for Domain Adaptation in Regression. CoRR (2020)
Théo Saillant, Jean-Christophe Weill, Mathilde Mougeot
Predicting Job Power Consumption Based on RJMS Submission Data in HPC Systems. ISC (2020)
Amy Luers, Lyse Langlois, Mathilde Mougeot, Sana Kharaghani, Alexandra Luccioni
Sustainability in the Digital Age [Special Issue Introduction]. IEEE Technol. Soc. Mag. 39 (2) (2020)
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) (2020)
Guillaume Richard, Antoine de Mathelin, Georges Hébrail, Mathilde Mougeot, Nicolas Vayatis
Unsupervised Multi-source Domain Adaptation for Regression. ECML/PKDD (1) (2020)
Ludovic Minvielle, Mounir Atiq, Sergio Peignier, Mathilde Mougeot
Transfer Learning on Decision Tree with Class Imbalance. ICTAI (2019)
Ludovic Minvielle, Mounir Atiq, Renan Serra, Mathilde Mougeot, Nicolas Vayatis
Fall detection using smart floor sensor and supervised learning. EMBC (2017)
Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot
Dictionary Comparison for Anomaly Detection on Aircraft Engine Spectrograms. MLDM (2016)
Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot
anomaly detection on spectrograms using data-driven and fixed dictionary representations. ESANN (2016)
Mathilde Mougeot, Dominique Picard, Karine Tribouley
LOL selection in high dimension. Comput. Stat. Data Anal. 71 (2014)
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)
Mathilde Mougeot, Robert Azencott, Bernard Angéniol
Image compression with back propagation: Improvement of the visual restoration using different cost functions. Neural Networks 4 (4) (1991)
Mathilde Mougeot, Robert Azencott, Bernard Angéniol
A Study of Image Compression with Backpropagation. NATO Neurocomputing (1989)