51 citations · 70 across the 3 of their papers we have counts for
4 papers
Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities
Loïc Brevault, Mathieu Balesdent, Ali Hebbal
The design process of complex systems such as new configurations of aircraft or launch vehicles is usually decomposed in different phases which are characterized for instance by th…
Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes
Ali Hebbal, Loic Brevault, Mathieu Balesdent +2
Multi-fidelity approaches combine different models built on a scarce but accurate data-set (high-fidelity data-set), and a large but approximate one (low-fidelity data-set) in orde…
Bayesian Optimization using Deep Gaussian Processes
Ali Hebbal, Loic Brevault, Mathieu Balesdent +2
Bayesian Optimization using Gaussian Processes is a popular approach to deal with the optimization of expensive black-box functions. However, because of the a priori on the station…
Efficient Global Optimization using Deep Gaussian Processes
Ali Hebbal, Loic Brevault, Mathieu Balesdent +2
Efficient Global Optimization (EGO) is widely used for the optimization of computationally expensive black-box functions. It uses a surrogate modeling technique based on Gaussian P…