Modelling conditional probabilities with Riemann-Theta Boltzmann Machines
Stefano Carrazza, Daniel Krefl, Andrea Papaluca · Journal of Physics Conference Series · 2020
Abstract The probability density function for the visible sector of a Riemann-Theta Boltzmann machine can be taken conditional on a subset of the visible units. We derive that the corresponding conditional density function is given by a reparameterization of the Riemann-Theta Boltzmann machine modelling the original probability density function. Therefore the conditional densities can be directly inferred from the Riemann-Theta Boltzmann machine.