Research · done · started 2023
Gaussian Process Regression
Research at William & Mary using Gaussian process regression to stand in for slow simulations, with honest uncertainty.
The question
Notes
The surrogate model ran roughly ten times faster than the simulations it approximated, and it reported its own uncertainty, which mattered as much as the speed. I presented the work to NASA researchers. The code and write-up are on GitHub.