259 citations · 323 across the 5 of their papers we have counts for
5 papers
Emulating complex dynamical simulators with random Fourier features
Hossein Mohammadi, Peter Challenor, Marc Goodfellow
A Gaussian process (GP)-based methodology is proposed to emulate complex dynamical computer models (or simulators). The method relies on emulating the numerical flow map of the sys…
Cross-validation based adaptive sampling for Gaussian process models
Hossein Mohammadi, Peter Challenor, Daniel Williamson +1
In many real-world applications, we are interested in approximating black-box, costly functions as accurately as possible with the smallest number of function evaluations. A comple…
Emulating computer models with step-discontinuous outputs using Gaussian processes
Hossein Mohammadi, Peter Challenor, Marc Goodfellow +1
In many real-world applications we are interested in approximating costly functions that are analytically unknown, e.g. complex computer codes. An emulator provides a fast approxim…
Understanding the dynamics of biological and neural oscillator networks through exact mean-field reductions: a review
Christian Bick, Marc Goodfellow, Carlo R. Laing +1
Many biological and neural systems can be seen as networks of interacting periodic processes. Importantly, their functionality depends on the emerging collective dynamics of the ne…
Emulating dynamic non-linear simulators using Gaussian processes
Hossein Mohammadi, Peter Challenor, Marc Goodfellow
The dynamic emulation of non-linear deterministic computer codes where the output is a time series, possibly multivariate, is examined. Such computer models simulate the evolution…