5.7k citations · 17.6k across the 75 of their papers we have counts for
3 papers · 1 filter
A Deep and Tractable Density Estimator
Benigno Uria, Iain Murray, Hugo Larochelle
The Neural Autoregressive Distribution Estimator (NADE) and its real-valued version RNADE are competitive density models of multidimensional data across a variety of domains. These…
RNADE: The real-valued neural autoregressive density-estimator
Benigno Uria, Iain Murray, Hugo Larochelle
We introduce RNADE, a new model for joint density estimation of real-valued vectors. Our model calculates the density of a datapoint as the product of one-dimensional conditionals…
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation
Yin Zheng, Yu-Jin Zhang, Hugo Larochelle
Topic modeling based on latent Dirichlet allocation (LDA) has been a framework of choice to perform scene recognition and annotation. Recently, a new type of topic model called the…