SM

First, let us recall that AIS is based on a simulated annealing process where a configuration is gradually brought from temperature T = to T = 1 using a set of bridging distributions. Foreach temperature, we define the transition operator, Tk(v0,v) to bring a configuration v to v0 varying the temperature according to the temperature schedule. In our case it is done using MC sampling layer-wise. In our work, we used a set of Nβ [104,105] temperatures uniformly distributed in this interval (dependingonthesystemsize). Inpractice,oneobservesthatERBM goesbelowED atlong sampling times if the machine was trained out of equilibrium.