Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Guang Lin

Guang Lin

An Adaptive Empirical Bayesian Method for Sparse Deep Learning

Oct 23, 2019
Wei Deng, Xiao Zhang, Faming Liang, Guang Lin

Figure 1 for An Adaptive Empirical Bayesian Method for Sparse Deep Learning

Figure 2 for An Adaptive Empirical Bayesian Method for Sparse Deep Learning

Figure 3 for An Adaptive Empirical Bayesian Method for Sparse Deep Learning

Figure 4 for An Adaptive Empirical Bayesian Method for Sparse Deep Learning

* Accepted by NeurIPS 2019

Access Paper or Ask Questions

Robust subsampling-based sparse Bayesian inference to tackle four challenges (large noise, outliers, data integration, and extrapolation) in the discovery of physical laws from data

Jul 23, 2019
Sheng Zhang, Guang Lin

Figure 1 for Robust subsampling-based sparse Bayesian inference to tackle four challenges (large noise, outliers, data integration, and extrapolation) in the discovery of physical laws from data

Figure 2 for Robust subsampling-based sparse Bayesian inference to tackle four challenges (large noise, outliers, data integration, and extrapolation) in the discovery of physical laws from data

Figure 3 for Robust subsampling-based sparse Bayesian inference to tackle four challenges (large noise, outliers, data integration, and extrapolation) in the discovery of physical laws from data

Figure 4 for Robust subsampling-based sparse Bayesian inference to tackle four challenges (large noise, outliers, data integration, and extrapolation) in the discovery of physical laws from data

Access Paper or Ask Questions

Bayesian inverse regression for supervised dimension reduction with small datasets

Jun 19, 2019
Xin Cai, Guang Lin, Jinglai Li

Figure 1 for Bayesian inverse regression for supervised dimension reduction with small datasets

Figure 2 for Bayesian inverse regression for supervised dimension reduction with small datasets

Figure 3 for Bayesian inverse regression for supervised dimension reduction with small datasets

Figure 4 for Bayesian inverse regression for supervised dimension reduction with small datasets

Access Paper or Ask Questions

CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification

Aug 31, 2018
Sangpil Kim, Nick Winovich, Guang Lin, Karthik Ramani

Figure 1 for CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification

Figure 2 for CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification

Figure 3 for CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification

Figure 4 for CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification

Access Paper or Ask Questions