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Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2024-10-07 , DOI: 10.1080/01621459.2024.2408778
Yixuan Qiu, Qingyi Gao, Xiao Wang

Generative models based on latent variables, such as generative adversarial networks (GANs) and variational auto-encoders (VAEs), have gained lots of interests due to their impressive performance i...

中文翻译:


Wasserstein 生成对抗网络潜在空间的自适应学习



基于潜在变量的生成模型,例如生成对抗网络(GAN)和变分自动编码器(VAE),由于其在...
更新日期:2024-10-07
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