Accurately characterising the performance of black-box RF demodulation pipelines normallyrequires dense sweeps over many parameters, incurring high computational cost[1]. Gaussianprocess (GP) surrogate models provide smooth interpolants and predictive uncertainty, enablingefficient exploration[1]. This paper investigates how many targeted runs are needed to reconstruct a smooth performance field and whether the GP uncertainty estimates are well calibrated.A … Continue reading Few-Shot Characterisation of Black-Box RF Fitting with Gaussian Processes