371 citations · 896 across the 18 of their papers we have counts for
5 papers · 1 filter
On Predicting Generalization using GANs
Yi Zhang, Arushi Gupta, Nikunj Saunshi +1
Research on generalization bounds for deep networks seeks to give ways to predict test error using just the training dataset and the network parameters. While generalization bounds…
An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design
Yi Zhang
As a promising tool to navigate in the vast chemical space, artificial intelligence (AI) is leveraged for drug design. From the year 2017 to 2021, the number of applications of sev…
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
Zhizhong Huang, Junping Zhang, Yi Zhang +1
LDCT has drawn major attention in the medical imaging field due to the potential health risks of CT-associated X-ray radiation to patients. Reducing the radiation dose, however, de…
Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction
Qingchao Zhang, Mehrdad Alvandipour, Wenjun Xia +3
We propose a provably convergent method, called Efficient Learned Descent Algorithm (ELDA), for low-dose CT (LDCT) reconstruction. ELDA is a highly interpretable neural network arc…
Rip van Winkle's Razor: A Simple Estimate of Overfit to Test Data
Sanjeev Arora, Yi Zhang
Traditional statistics forbids use of test data (a.k.a. holdout data) during training. Dwork et al. 2015 pointed out that current practices in machine learning, whereby researchers…