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Jun, 2023
生成模型的动态最优概率路径
On Kinetic Optimal Probability Paths for Generative Models
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Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matt Le, Yaron Lipman
TL;DR
本研究探讨高斯概率路径的空间,并找到在某些有用意义下的最优解,研究表明动能最优高斯路径具有单一数据分离函数,当样本数量与维数之比收敛于0时,条件最优输运路径也变成了动能最优路径。
Abstract
Recent successful
generative models
are trained by fitting a
neural network
to an a-priori defined tractable probability density path taking noise to training examples. In this paper we investigate the space of <
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