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05/12/2022
Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction
Ptychography is a popular microscopic imaging modality for many scientif...
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03/22/2021
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy
Machine learning and artificial intelligence (ML/AI) are rapidly becomin...
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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...
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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...
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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...
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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...
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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...
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01/11/2012