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03/12/2021
Discovery of Physics and Characterization of Microstructure from Data with Bayesian Hidden Physics Models
There has been a surge in the interest of using machine learning techniq...
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06/07/2020
Bayesian Hidden Physics Models: Uncertainty Quantification for Discovery of Nonlinear Partial Differential Operators from Data
What do data tell us about physics-and what don't they tell us? There ha...
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03/26/2020
Advances in Bayesian Probabilistic Modeling for Industrial Applications
Industrial applications frequently pose a notorious challenge for state-...
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01/02/2020
Bayesian task embedding for few-shot Bayesian optimization
We describe a method for Bayesian optimization by which one may incorpor...
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09/27/2019
Data-driven discovery of free-form governing differential equations
We present a method of discovering governing differential equations from...
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07/11/2018
Structured Bayesian Gaussian process latent variable model: applications to data-driven dimensionality reduction and high-dimensional inversion
We introduce a methodology for nonlinear inverse problems using a variat...
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05/22/2018