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09/05/2022
Deep Learning Gaussian Processes For Computer Models with Heteroskedastic and High-Dimensional Outputs
Deep Learning Gaussian Processes (DL-GP) are proposed as a methodology f...
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03/08/2022
Bayesian Calibration for Activity Based Models
We consider the problem of calibration and uncertainty analysis for acti...
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10/08/2018
Practical Bayesian Optimization for Transportation Simulators
Simulators play a major role in analyzing multi-modal transportation net...
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06/14/2018