Mathilde Mougeot

49 papers A* 2B 5C 1Journal 31Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cascaded Transfer: Learning Many Tasks under Budget Constraints. CoRR Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude, Mathilde Mougeot, Argyris Kalogeratos
2026	J	`jnl`	Fusion of heterogeneous data for robust degradation prognostics. Reliab. Eng. Syst. Saf. Edgar Jaber, Emmanuel Remy, Vincent Chabridon, Mathilde Mougeot, Didier Lucor
2025	J	`jnl`	Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application. CoRR Gonzalo Iñaki Quintana, Laurence Vancamberg, Vincent Jugnon, Agnès Desolneux, Mathilde Mougeot
2025	J	`jnl`	Deep Generative Methods and Tire Architecture Design. CoRR Fouad Oubari, Raphaël Meunier, Rodrigue Décatoire, Mathilde Mougeot
2025	J	`jnl`	Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization. J. Mach. Learn. Res. Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2025	J	`jnl`	Geometry-aware framework for deep energy method: An application to structural mechanics with hyperelastic materials. Comput. Phys. Commun. Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Jean Di Stasio, Christophe Millet, Mathilde Mougeot
2025	J	`jnl`	Multi-Component VAE with Gaussian Markov Random Field. CoRR Fouad Oubari, Mohamed El Baha, Raphaël Meunier, Rodrigue Décatoire, Mathilde Mougeot
2025	A*	`conf`	OneBatchPAM: A Fast and Frugal K-Medoids Algorithm. AAAI Antoine de Mathelin, Nicolas Enrique Cecchi, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2025	J	`jnl`	OneBatchPAM: A Fast and Frugal K-Medoids Algorithm. CoRR Antoine de Mathelin, Nicolas Enrique Cecchi, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2024	J	`jnl`	A Markov Random Field Multi-Modal Variational AutoEncoder. CoRR Fouad Oubari, Mohamed El Baha, Raphaël Meunier, Rodrigue Décatoire, Mathilde Mougeot
2024	—	`conf`	A Meta-VAE for Multi-component Industrial Systems Generation. SAI (1) Fouad Oubari, Raphaël Meunier, Rodrigue Décatoire, Mathilde Mougeot
2024	J	`jnl`	BN-SCAFFOLD: controlling the drift of Batch Normalization statistics in Federated Learning. CoRR Gonzalo Iñaki Quintana, Laurence Vancamberg, Vincent Jugnon, Mathilde Mougeot, Agnès Desolneux
2024	J	`jnl`	Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees. CoRR Edgar Jaber, Vincent Blot, Nicolas J.-B. Brunel, Vincent Chabridon, Emmanuel Remy, Bertrand Iooss, Didier Lucor, Mathilde Mougeot, Alessandro Leite
2024	—	`conf`	Contrastive Learning: An Efficient Domain Adaptation Strategy for 2D Mammography Image Classification. ISBI Gonzalo Iñaki Quintana, Vincent Jugnon, Laurence Vancamberg, Agnès Desolneux, Mathilde Mougeot
2024	J	`jnl`	Geometry-aware framework for deep energy method: an application to structural mechanics with hyperelastic materials. CoRR Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Christophe Millet, Mathilde Mougeot
2023	J	`jnl`	A Data Set for Fall Detection with Smart Floor Sensors. Image Process. Line Charles Truong, Mounir Atiq, Ludovic Minvielle, Renan Serra, Mathilde Mougeot, Nicolas Vayatis
2023	J	`jnl`	A Meta-Generation framework for Industrial System Generation. CoRR Fouad Oubari, Raphaël Meunier, Rodrigue Décatoire, Mathilde Mougeot
2023	J	`jnl`	Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification. CoRR Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2023	—	`conf`	Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference. ICCS (4) Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Christophe Millet, Mathilde Mougeot
2023	J	`jnl`	Maximum Weight Entropy. CoRR Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2023	B	`conf`	Personalized One-Shot Collaborative Learning. ICTAI Marie Garin, Antoine de Mathelin, Mathilde Mougeot, Nicolas Vayatis
2022	A*	`conf`	Discrepancy-Based Active Learning for Domain Adaptation. ICLR Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2022	—	`conf`	Fast and Accurate Importance Weighting for Correcting Sample Bias. ECML/PKDD (1) Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2022	J	`jnl`	Fast and Accurate Importance Weighting for Correcting Sample Bias. CoRR Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2022	J	`jnl`	Fixed-budget online adaptive mesh learning for physics-informed neural networks. Towards parameterized problem inference. CoRR Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Christophe Millet, Mathilde Mougeot
2022	J	`jnl`	Physics-informed neural networks for non-Newtonian fluid thermo-mechanical problems: An application to rubber calendering process. Eng. Appl. Artif. Intell. Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Mathilde Mougeot
2022	J	`jnl`	Physics-informed neural networks for non-Newtonian fluid thermo-mechanical problems: an application to rubber calendering process. CoRR Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Mathilde Mougeot
2022	—	`conf`	To Tree or Not to Tree? Assessing the Impact of Smoothing the Decision Boundaries. ICANN (1) Anthea Mérida, Argyris Kalogeratos, Mathilde Mougeot
2022	J	`jnl`	To tree or not to tree? Assessing the impact of smoothing the decision boundaries. CoRR Anthea Mérida, Argyris Kalogeratos, Mathilde Mougeot
2021	J	`jnl`	A Binded VAE for Inorganic Material Generation. CoRR Fouad Oubari, Antoine de Mathelin, Rodrigue Décatoire, Mathilde Mougeot
2021	J	`jnl`	ADAPT : Awesome Domain Adaptation Python Toolbox. CoRR Antoine de Mathelin, François Deheeger, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis
2021	B	`conf`	Adversarial Weighting for Domain Adaptation in Regression. ICTAI Antoine de Mathelin, Guillaume Richard, François Deheeger, Mathilde Mougeot, Nicolas Vayatis
2021	—	`conf`	Bayesian Feature Discovery for Predictive Maintenance. EUSIPCO Amir Dib, Charles Truong, Laurent Oudre, Mathilde Mougeot, Nicolas Vayatis, Heloïse Nonne
2021	B	`conf`	Constrained prediction time random forests using equivalent trees and genetic programming: application to fall detection model embedding. ICTAI Mounir Atiq, Sergio Peignier, Mathilde Mougeot
2021	J	`jnl`	Discrepancy-Based Active Learning for Domain Adaptation. CoRR Antoine de Mathelin, Mathilde Mougeot, Nicolas Vayatis
2020	J	`jnl`	Adversarial Weighting for Domain Adaptation in Regression. CoRR Antoine de Mathelin, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis
2020	J	`jnl`	Leveraging Digital Disruptions for a Climate-Safe and Equitable World: The D^2S Agenda: [Commentary]. IEEE Technol. Soc. Mag. Amy Luers, Jennifer Garard, Asun Lera St. Clair, Owen Gaffney, Tom Hassenboehler, Lyse Langlois, Mathilde Mougeot, Sasha Luccioni
2020	J	`jnl`	Model family selection for classification using Neural Decision Trees. CoRR Anthea Mérida Montes de Oca, Argyris Kalogeratos, Mathilde Mougeot
2020	C	`conf`	Predicting Job Power Consumption Based on RJMS Submission Data in HPC Systems. ISC Théo Saillant, Jean-Christophe Weill, Mathilde Mougeot
2020	J	`jnl`	Sustainability in the Digital Age [Special Issue Introduction]. IEEE Technol. Soc. Mag. Amy Luers, Lyse Langlois, Mathilde Mougeot, Sana Kharaghani, Alexandra Luccioni
2020	—	`conf`	Unsupervised Multi-source Domain Adaptation for Regression. ECML/PKDD (1) Guillaume Richard, Antoine de Mathelin, Georges Hébrail, Mathilde Mougeot, Nicolas Vayatis
2019	B	`conf`	Transfer Learning on Decision Tree with Class Imbalance. ICTAI Ludovic Minvielle, Mounir Atiq, Sergio Peignier, Mathilde Mougeot
2017	—	`conf`	Fall detection using smart floor sensor and supervised learning. EMBC Ludovic Minvielle, Mounir Atiq, Renan Serra, Mathilde Mougeot, Nicolas Vayatis
2016	—	`conf`	Dictionary Comparison for Anomaly Detection on Aircraft Engine Spectrograms. MLDM Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot
2016	B	`conf`	anomaly detection on spectrograms using data-driven and fixed dictionary representations. ESANN Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot
2014	J	`jnl`	LOL selection in high dimension. Comput. Stat. Data Anal. Mathilde Mougeot, Dominique Picard, Karine Tribouley
2013	J	`jnl`	Sparse Approximation and Fit of Intraday Load Curves in a High Dimensional Framework. Adv. Data Sci. Adapt. Anal. Mathilde Mougeot, Dominique Picard, Karine Tribouley, Vincent Lefieux, Laurence Maillard-Teyssier
1991	J	`jnl`	Image compression with back propagation: Improvement of the visual restoration using different cost functions. Neural Networks Mathilde Mougeot, Robert Azencott, Bernard Angéniol
1989	—	`conf`	A Study of Image Compression with Backpropagation. NATO Neurocomputing Mathilde Mougeot, Robert Azencott, Bernard Angéniol