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Papers

A Triangular Network For Density Estimation

2020-04-30 · Xi-Lin Li

We report a triangular neural network implementation of neural autoregressive flow (NAF). Unlike many universal autoregressive density models, our design is highly modular, parameter economy, computationally efficient, and applicable to density estimation of data with high dimensions. It achieves state-of-the-art bits-per-dimension indices on MNIST and CIFAR-10 (about 1.1 and 3.7, respectively) in the category of general-purpose density estimators.

📄 PDF Abstract BibTeX arXiv:2004.14593

Code (1)

lixilinx/TriNet4PdfEst 공식 구현 pytorch

Tasks

Density Estimation

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