most citedStudy of Deep Generative Models for Inorganic Chemical Compositions

13 citations · 13 across the 1 of their papers we have counts for

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cs.LG2019★ 13 cited

Study of Deep Generative Models for Inorganic Chemical Compositions

Yoshihide Sawada, Koji Morikawa, Mikiya Fujii

Generative models based on generative adversarial networks (GANs) and variational autoencoders (VAEs) have been widely studied in the fields of image generation, speech generation,…