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most citedTowards Universal Neural Network Potential for Material Discovery Applicable to Arbitrary Combination of 45 Elements

450 citations

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cs.LG2016★ 34 cited

Temporal Generative Adversarial Nets with Singular Value Clipping

Masaki Saito, Eiichi Matsumoto, Shunta Saito

In this paper, we propose a generative model, Temporal Generative Adversarial Nets (TGAN), which can learn a semantic representation of unlabeled videos, and is capable of generati…