All Categories (1-3 of 3)

1. Efficient Exploration of Quantified Uncertainty in Granular Crystals

   16 Mar 2016 | | Contributor(s):: Juan Camilo Lopez

   This work presents a way of quantifying uncertainty in granular crystals in a computationally efficient way. To accomplish this, a low dimensional response surface is approximated through the method of active subspaces. Within this framework, special structure within the inputs is exploited to...

2. Gaussian processes 2D

   26 Jun 2015 | | Contributor(s):: Ilias Bilionis, Yinuo Li, Juan Camilo Lopez

   Gaussian Process 2D Sampling

3. Gaussian process regression in 1D

   26 Nov 2014 | | Contributor(s):: Ilias Bilionis, Alejandro Strachan, Benjamin P Haley, Martin Hunt, Rohit Kaushal Tripathy, Sam Reeve

   Use Gaussian processes to represent x-y data