315 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université d'OrléansFR26 papers
- Institut de Mathématiques de ToulouseFR9 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- Institut National des Sciences Appliquées de ToulouseFR6 papers
- Université Toulouse III - Paul SabatierFR6 papers
- Électricité de France (France)FR5 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR5 papers
- Laboratoire de Recherche en InformatiqueFR5 papers
- Institut National des Sciences Appliquées Centre Val de LoireFR4 papers
- Sinclair PharmaGB4 papers
- Suez (France)FR4 papers
- Université Paris-SaclayFR4 papers
5 papers · 1 filter
AK-MCS-C2 : Active Kriging Monte Carlo Simulation method with conformal certification for failure probability estimation
Edgar Jaber, Vincent Chabridon, Mathilde Mougeot
We introduce a novel active-learning framework for failure probability estimation in structural reliability analysis that integrates Active Kriging Monte Carlo simulation with conf…
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…
Sample selection from a given dataset to validate machine learning models
Bertrand Iooss
The selection of a validation basis from a full dataset is often required in industrial use of supervised machine learning algorithm. This validation basis will serve to realize an…
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
Yuan Yin, Vincent Le Guen, Jérémie Dona +4
Forecasting complex dynamical phenomena in settings where only partial knowledge of their dynamics is available is a prevalent problem across various scientific fields. While purel…