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Sep, 2023
概率单纯形上的扩散
Diffusion on the Probability Simplex
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Griffin Floto, Thorsteinn Jonsson, Mihai Nica, Scott Sanner, Eric Zhengyu Zhu
TL;DR
通过将扩散应用于概率单体上，我们提出了一种处理连续和离散对象之间张力的方法，其中点对应于类别概率分布，并且自然地扩展到包括在单位立方体上进行扩散。
Abstract
diffusion models
learn to reverse the progressive noising of a data distribution to create a generative model. However, the desired continuous nature of the
noising process
can be at odds with discrete data. To d
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