24 citations · 42 across the 4 of their papers we have counts for
4 papers
Estimation with Uncertainty via Conditional Generative Adversarial Networks
Minhyeok Lee, Junhee Seok
Conventional predictive Artificial Neural Networks (ANNs) commonly employ deterministic weight matrices; therefore, their prediction is a point estimate. Such a deterministic natur…
Score-Guided Generative Adversarial Networks
Minhyeok Lee, Junhee Seok
We propose a Generative Adversarial Network (GAN) that introduces an evaluator module using pre-trained networks. The proposed model, called score-guided GAN (ScoreGAN), is trained…
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies
Minhyeok Lee, Junhee Seok
Despite its short history, Generative Adversarial Network (GAN) has been extensively studied and used for various tasks, including its original purpose, i.e., synthetic sample gene…
Controllable Generative Adversarial Network
Minhyeok Lee, Junhee Seok
Recently introduced generative adversarial network (GAN) has been shown numerous promising results to generate realistic samples. The essential task of GAN is to control the featur…