It was recently proposed that neural networks could be used to approximate many-dimensional probability distributions appear e.g. in lattice field theories or statistical mechanics. Subsequently they can as variational approximators assess extensive properties of systems, like free energy, and also samplers Monte Carlo simulations. The practical application this approach is unfortunately limite...