where x and x ′ are input vectors, σ is a hyperparameter that determines the width of the kernel, and ∥ • ∥ denotes the Euclidean norm. Given some replicas X = {x 1 , . . . , x N }, we can ensure translational invariance by forming a new set X that is mean-centered,