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20202023
most citedPC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data

2 citations · 4 across the 3 of their papers we have counts for

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cs.LG2023★ 2 cited

PI-VEGAN: Physics Informed Variational Embedding Generative Adversarial Networks for Stochastic Differential Equations

Ruisong Gao, Yufeng Wang, Min Yang +1

We present a new category of physics-informed neural networks called physics informed variational embedding generative adversarial network (PI-VEGAN), that effectively tackles the…

cs.LG2020★ 2 cited

PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data

Yufeng Wang, Dan Li, Xiang Li +1

Datasets with missing values are very common in real world applications. GAIN, a recently proposed deep generative model for missing data imputation, has been proved to outperform…