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Surrogate modelling meets machine learning
(2019)Complex computational models are used nowadays in all fields of applied sciences to predict the behaviour of natural, economic and engineering systems. High-fidelity simulators are able to capture more and more realistic features by including multi-scale or multi-physics aspects in their governing equations, which can result in high complexity. Although computer power has attained unprecedented levels, it is still not possible to use brute ...Other Conference Item -
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A new approach for Bayesian model calibration using stochastic spectral embedding
(2019)Other Conference Item -
Vine copulas for uncertainty quantification: why and how
(2019)Systems subject to uncertain inputs produce uncertain responses. Uncertainty quantification (UQ) deals with the estimation of the response statistics of systems for which a runnable computational model is available. Problems of interest are those where the computational model is expensive, making Monte Carlo approaches unfeasible and thus calling for cheaper solutions that require fewer runs. In these settings, an accurate representation ...Other Conference Item -
Representation and Inference of Complex dependencies through copulas in UQLab
(2019)Other Conference Item -
Combining machine learning and surrogate modeling for data-driven uncertainty propagation in high-dimension
(2019)Other Conference Item -
An adaptive algorithm based on spectral likelihood expansion for efficient Bayesian calibration
(2019)Other Conference Item -
Surrogate models for uncertainty quantification and design optimization
(2019)Nowadays computational models are used in virtually all fields of applied sciences and engineering to predict the behaviour of complex natural or man-made systems. Also known as simulators, they allow the engineer to assess the performance of a system in-silico, and then optimize its design or operating. Realistic models (e.g. finite element models) usually feature tens of parameters and are costly to run, even when taking full advantage ...Other Conference Item -
A new moment-independent measure for reliability-sensitivity analysis
(2019)Other Conference Item