Learning Stochastic Feedforward Neural Networks

A stochastic feedforward network with hidden layers composed of both deterministic and stochastics variables is proposed that achieves superior performance on synthetic and facial expressions datasets compared to conditional Restricted Boltzmann Machines and Mixture Density Networks.