22 citations · 26 across the 3 of their papers we have counts for
3 papers
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…
Fast and Accurate Importance Weighting for Correcting Sample Bias
Antoine de Mathelin, Francois Deheeger, Mathilde Mougeot +1
Bias in datasets can be very detrimental for appropriate statistical estimation. In response to this problem, importance weighting methods have been developed to match any biased d…
Metamodel-based importance sampling for structural reliability analysis
V. Dubourg, F. Deheeger, B. Sudret
Structural reliability methods aim at computing the probability of failure of systems with respect to some prescribed performance functions. In modern engineering such functions us…