research
∙
05/12/2022
Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction
Ptychography is a popular microscopic imaging modality for many scientif...
share
research
∙
03/22/2021
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy
Machine learning and artificial intelligence (ML/AI) are rapidly becomin...
research
∙
12/19/2020
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation
Deep learning (DL) models are being deployed at medical centers to aid r...
research
∙
07/31/2020
Model Reduction of Shallow CNN Model for Reliable Deployment of Information Extraction from Medical Reports
Shallow Convolution Neural Network (CNN) is a time-tested tool for the i...
research
∙
03/06/2020
Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks
Nondestructive evaluation methods play an important role in ensuring com...
research
∙
01/03/2020
Wide Neural Networks with Bottlenecks are Deep Gaussian Processes
There is recently much work on the "wide limit" of neural networks, wher...
research
∙
10/15/2019
Challenges in Bayesian inference via Markov chain Monte Carlo for neural networks
Markov chain Monte Carlo (MCMC) methods and neural networks are instrume...
research
∙
01/11/2012
