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05/07/2023
Disentangled Multi-Fidelity Deep Bayesian Active Learning
To balance quality and cost, various domain areas of science and enginee...
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06/10/2022
Multi-fidelity Hierarchical Neural Processes
Science and engineering fields use computer simulation extensively. Thes...
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08/19/2021
Multi defect detection and analysis of electron microscopy images with deep learning
Electron microscopy is widely used to explore defects in crystal structu...
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08/19/2021
A Deep Learning Based Automatic Defect Analysis Framework for In-situ TEM Ion Irradiations
Videos captured using Transmission Electron Microscopy (TEM) can encode ...
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06/05/2021
Accelerating Stochastic Simulation with Interactive Neural Processes
Stochastic simulations such as large-scale, spatiotemporal, age-structur...
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05/25/2021
Quantifying Uncertainty in Deep Spatiotemporal Forecasting
Deep learning is gaining increasing popularity for spatiotemporal foreca...
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02/12/2021