13 citations · 13 across the 1 of their papers we have counts for
4 papers · 1 filter
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…
Euclid preparation: II. The EuclidEmulator -- A tool to compute the cosmology dependence of the nonlinear matter power spectrum
Euclid Collaboration, Mischa Knabenhans, Joachim Stadel +12
We present a new power spectrum emulator named EuclidEmulator that estimates the nonlinear correction to the linear dark matter power spectrum. It is based on a spectral decomposit…
Data-driven polynomial chaos expansion for machine learning regression
E. Torre, S. Marelli, P. Embrechts +1
We present a regression technique for data-driven problems based on polynomial chaos expansion (PCE). PCE is a popular technique in the field of uncertainty quantification (UQ), wh…
Development of probabilistic dam breach model using Bayesian inference
S. J. Peter, A. Siviglia, J. Nagel +4
Dam breach models are commonly used to predict outflow hydrographs of potentially failing dams and are key ingredients for evaluating flood risk. In this paper a new dam breach mod…