The variable ν is a hyperparameter that can be subject to various annealing schemes. In systems that use linear annealing, we perform a fast hyperparameter search to find an optimal schedule. In particular, we run the Vendi sampler for a small number of steps (2000 steps) and then pick the rate that yields a sampler with maximal value for the heuristic VS ( ) -2〈U( )〉, where describes samples from the learned distribution, 〈U( )〉 represents the average energy of those samples, and VS is their corresponding Vendi Score.