most citedExact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing physics.comp-phShow all

1 paper · 1 filter

physics.comp-ph2020

Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels

Marcus M. Noack, Gregory S. Doerk, Ruipeng Li +4

A majority of experimental disciplines face the challenge of exploring large and high-dimensional parameter spaces in search of new scientific discoveries. Materials science is no…