Graphical Generative Adversarial Networks

Chongxuan LI, Max Welling, Jun Zhu, Bo Zhang

Neural Information Processing Systems 

Graphical-GAN uses deep implicit likelihood functions [10] to model complex data. Graphical-GAN is sufficiently flexible to model structured data but the inference and learning are challenging due to the presence of deep implicit likelihoods and complex structures.

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