9 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Institut de Mathématiques de ToulouseFR4 papers
- Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et EnergétiqueFR4 papers
- Institut National des Sciences Appliquées de ToulouseFR3 papers
- Laboratoire de Recherche en InformatiqueFR3 papers
- Université Toulouse III - Paul SabatierFR3 papers
- DATAMOVE: Mouvements de données pour le calcul haute performanceFR2 papers
- Laboratoire de Probabilités et Modèles AléatoiresFR2 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR2 papers
- Laboratoire Interdisciplinaire des Sciences du NumériqueFR2 papers
- United States Nuclear Regulatory CommissionUS2 papers
- Université Paris-SaclayFR2 papers
- Anstalt für Verbrennungskraftmaschinen List (Austria)AT1 paper
9 papers
Digital twin-based hybrid framework for steam generator clogging prognostics
Edgar Jaber, Emmanuel Remy, Vincent Chabridon +5
We present a hybrid framework to support prognostics of the clogging degradation phenomenon in tube support plates for digital twins of steam generators in pressurized water reacto…
Exact Functional ANOVA Decomposition for Categorical Inputs Models
Baptiste Ferrere, Nicolas Bousquet, Fabrice Gamboa +2
Functional ANOVA offers a principled framework for interpretability by decomposing a model's prediction into main effects and higher-order interactions. For independent features, t…
Fourier Analysis on the Boolean Hypercube via Hoeffding Functional Decomposition
Baptiste Ferrere, Nicolas Bousquet, Fabrice Gamboa +2
Fourier analysis on the Boolean hypercube is fundamentally defined as the orthogonal decomposition of the space of pseudo-Boolean functions with respect to the uniform probability…
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees
Edgar Jaber, Vincent Blot, Nicolas Brunel +6
Gaussian processes (GPs) are a Bayesian machine learning approach widely used to construct surrogate models for the uncertainty quantification of computer simulation codes in indus…
Hoeffding decomposition of black-box models with dependent inputs
Marouane Il Idrissi, Nicolas Bousquet, Fabrice Gamboa +2
Performing an additive decomposition of arbitrary functions of random elements is paramount for global sensitivity analysis and, therefore, the interpretation of black-box models.…
Finite element analysis of biomechanical interactions of a subcutaneous suspension suture and human face soft-tissue: a cadaver study
Seyed Ali Mousavi, Mohammad Ali Nazari, Pascal Perrier +5
In order to study the local interactions between facial soft-tissues and a Silhouette Soft suspension suture, a CE marked medical device designed for the repositioning of soft tiss…
Training Deep Surrogate Models with Large Scale Online Learning
Lucas Meyer, Marc Schouler, Robert Alexander Caulk +2
The spatiotemporal resolution of Partial Differential Equations (PDEs) plays important roles in the mathematical description of the world's physical phenomena. In general, scientis…
Simulation-Based Parallel Training
Lucas Meyer, Alejandro Ribés, Bruno Raffin
Numerical simulations are ubiquitous in science and engineering. Machine learning for science investigates how artificial neural architectures can learn from these simulations to s…
Proportional marginal effects for global sensitivity analysis
Margot Herin, Marouane Il Idrissi, Vincent Chabridon +1
Performing (variance-based) global sensitivity analysis (GSA) with dependent inputs has recently benefited from cooperative game theory concepts.By using this theory, despite the p…