It is important to note that the use of kernels is not new in enhanced sampling, however, previous use has focused on estimating an adaptive biasing potential ; ; ; . While these approaches can yield low-variance free energy estimates, they intrinsically have to balance exploration and accuracy, , e.g. by slowly tampering off the estimation of the adaptive biasing potential . On the contrary, Vendi sampling yields high-variance sample estimates, yet avoids problems associated with adaptive biasing potential estimation.