62 citations · 126 across the 13 of their papers we have counts for
4 papers · 1 filter
Surrogate-based Optimization using Mutual Information for Computer Experiments (optim-MICE)
Theodoros Mathikolonis, Serge Guillas
The computational burden of running a complex computer model can make optimization impractical. Gaussian Processes (GPs) are statistical surrogates (also known as emulators) that a…
Dimension reduction for Gaussian process emulation: an application to the influence of bathymetry on tsunami heights
Xiaoyu Liu, Serge Guillas
High accuracy complex computer models, or simulators, require large resources in time and memory to produce realistic results. Statistical emulators are computationally cheap appro…
Efficient spatial modelling using the SPDE approach with bivariate splines
Xiaoyu Liu, Serge Guillas, Ming-Jun Lai
Gaussian fields (GFs) are frequently used in spatial statistics for their versatility. The associated computational cost can be a bottleneck, especially in realistic applications.…
Sequential Design with Mutual Information for Computer Experiments (MICE): Emulation of a Tsunami Model
Joakim Beck, Serge Guillas
Computer simulators can be computationally intensive to run over a large number of input values, as required for optimization and various uncertainty quantification tasks. The stan…