186 citations
- Centre BorelliFR8 papers
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Showing 2023Show all
3 papers · 1 filter
cs.LG2023★ 1 cited
Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization
Antoine de Mathelin, François Deheeger, Mathilde Mougeot +1
This paper deals with uncertainty quantification and out-of-distribution detection in deep learning using Bayesian and ensemble methods. It proposes a practical solution to the lac…
cs.CE2023★ 5 cited
Non-intrusive reduced order models for partitioned fluid-structure interactions
Azzeddine Tiba, Thibault Dairay, Florian de Vuyst +2
The main goal of this work is to develop a data-driven Reduced Order Model (ROM) strategy from high-fidelity simulation result data of a Full Order Model (FOM). The goal is to pred…
cs.LG2023★ 4 cited
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
Antoine de Mathelin, Francois Deheeger, Mathilde Mougeot +1
We consider the problem of uncertainty quantification in high dimensional regression and classification for which deep ensemble have proven to be promising methods. Recent observat…