8 citations · 12 across the 3 of their papers we have counts for
3 papers
stat.CO2020
Stochastic spectral embedding
S. Marelli, P. -R. Wagner, C. Lataniotis +1
Constructing approximations that can accurately mimic the behavior of complex models at reduced computational costs is an important aspect of uncertainty quantification. Despite th…
stat.ML2018★ 4 cited
Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach
C. Lataniotis, S. Marelli, B. Sudret
Thanks to their versatility, ease of deployment and high-performance, surrogate models have become staple tools in the arsenal of uncertainty quantification (UQ). From local interp…
stat.CO2017★ 8 cited
The Gaussian process modelling module in UQLab
C. Lataniotis, S. Marelli, B. Sudret
We introduce the Gaussian process (GP) modelling module developed within the UQLab software framework. The novel design of the GP-module aims at providing seamless integration of G…