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Updated: May 21, 2025

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EBM-WGF:训练基于能源的模型与瓦斯斯坦梯度流的流量

Ben Wan1, Cong Geng2, Tianyi Zheng1

  • 1Shanghai Jiao Tong University, Minhang Distinct, Shanghai, China.

Neural networks : the official journal of the International Neural Network Society
|March 18, 2025
PubMed
概括

本研究介绍了瓦斯斯坦梯度流 (Wasserstein gradient flow,简称WGF) 以稳定基于能量的模型 (EBM),用于密度估计. 这种新方法提高了生成器的优化,避免了计算上昂贵的MCMC采样,并提高了最小游戏的稳定性.

关键词:
对抗性的训练是对抗性的训练.基于能源的模型华斯斯坦梯度流的流量

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