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06/09/2021
Rare event estimation using stochastic spectral embedding
Estimating the probability of rare failure events is an essential step i...
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06/03/2021
A generalized framework for active learning reliability: survey and benchmark
Active learning methods have recently surged in the literature due to th...
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05/15/2020
Bayesian model inversion using stochastic spectral embedding
In this paper we propose a new sampling-free approach to solve Bayesian ...
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04/09/2020
Stochastic spectral embedding
Constructing approximations that can accurately mimic the behavior of co...
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12/15/2018
Extending classical surrogate modelling to ultrahigh dimensional problems through supervised dimensionality reduction: a data-driven approach
Thanks to their versatility, ease of deployment and high-performance, su...
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08/09/2018
Data-driven polynomial chaos expansion for machine learning regression
We present a regression technique for data driven problems based on poly...
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06/13/2018
Development of probabilistic dam breach model using Bayesian inference
Dam breach models are commonly used to predict outflow hydrographs of po...
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09/27/2017
Gaussian process modelling using UQLab
We introduce the Gaussian process modelling module of the UQLab software...
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09/25/2017