The Neural Autoregressive Distribution Estimator

A new approach for modeling the distribution of high-dimensional vectors of discrete variables inspired by the restricted Boltzmann machine, which outperforms other multivariate binary distribution estimators on several datasets and performs similarly to a large (but intractable) RBM.