BriefGPT.xyz
Jun, 2020
标准流进行密度去卷积
Density Deconvolution with Normalizing Flows
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Tim Dockhorn, James A. Ritchie, Yaoliang Yu, Iain Murray
TL;DR
本研究旨在探索利用正则流的密度代数方法以恢复被噪声所污染的样本的概率密度函数，本文提出的修正策略包括利用高斯混合模型和变分推断方法，实验发现该方法在密度解卷积方面优于高斯混合模型。
Abstract
density deconvolution
is the task of estimating a probability density function given only noise-corrupted samples. We can fit a
gaussian mixture model
to the underlying density by maximum likelihood if the noise
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