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05/15/2023
Encoding Domain Expertise into Multilevel Models for Source Location
Data from populations of systems are prevalent in many industrial applic...
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11/03/2022
Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset
Face recognition technology has advanced significantly in recent years d...
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10/25/2022
Federated Bayesian Computation via Piecewise Deterministic Markov Processes
When performing Bayesian computations in practice, one is often faced wi...
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02/07/2022
Grassmann Stein Variational Gradient Descent
Stein variational gradient descent (SVGD) is a deterministic particle in...
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02/04/2022
ℱ-EBM: Energy Based Learning of Functional Data
Energy-Based Models (EBMs) have proven to be a highly effective approach...
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01/13/2022
Density Estimation from Schlieren Images through Machine Learning
This study proposes a radically alternate approach for extracting quanti...
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11/30/2020
Bayesian Assessments of Aeroengine Performance
Aeroengine performance is determined by temperature and pressure profile...
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11/18/2020
Bayesian mass averaging
Mass averaging is pivotal in turbomachinery. In both experiments and CFD...
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08/08/2019
Spatial Flow-Field Approximation Using Few Thermodynamic Measurements Part II: Uncertainty Assessments
In this second part of our two-part paper, we provide a detailed, freque...
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08/08/2019