most citedMode Penalty Generative Adversarial Network with adapted Auto-encoder

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.LG2020

Sub-clusters of Normal Data for Anomaly Detection

Gahye Lee, Seungkyu Lee

Anomaly detection in data analysis is an interesting but still challenging research topic in real world applications. As the complexity of data dimension increases, it requires to…

cs.LG2020★ 1 cited

Mode Penalty Generative Adversarial Network with adapted Auto-encoder

Gahye Lee, Seungkyu Lee

Generative Adversarial Networks (GAN) are trained to generate sample images of interest distribution. To this end, generator network of GAN learns implicit distribution of real dat…