RCANet: Root Cause Analysis via Latent Variable Interaction Modeling for Yield Improvement

Author:

Zhang Xiaopeng1,Hu Shoubo2,Chen Zhitang2,Zhu Shengyu2,Young Evangeline F.Y.1,Li Pengyun3,Chen Cheng3,Huang Yu3,Hao Jianye2

Affiliation:

1. The Chinese University of Hong Kong

2. Huawei Noah's Ark Lab

3. HiSilicon

Publisher

IEEE

Reference15 articles.

1. Auto-Encoding Variational Bayes;kingma;International Conference on Learning Representations (ICLR),0

2. Graph attention networks;veli?kovi?;International Conference on Learning Representations (ICLR),0

3. Adam: A method for stochastic optimization;kingma;International Conference on Learning Representations (ICLR),0

4. Semi-supervised classification with graph convolutional networks;kipf;2017 5th International Conference on Learning Representations (ICLR) Toulon France April 24–26 2017,0

5. Adaptive NN-based Root Cause Analysis in Volume Diagnosis for Yield Improvement

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