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03/15/2023
Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field
Modern computational methods, involving highly sophisticated mathematica...
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08/05/2022
Interpretable Uncertainty Quantification in AI for HEP
Estimating uncertainty is at the core of performing scientific measureme...
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01/03/2021
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning
Achieving accurate and robust global situational awareness of a complex ...
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07/23/2020
Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation
Non-intrusive reduced-order models (ROMs) have recently generated consid...
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11/10/2019