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Publication | Type | Year |
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Coupling optimal experimental design and optimal controlWorld Congress on Computational Mechanics
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Conference Presentation – 2022 Conference Presentation | 2022 |
Machine learning in the context of inverse, control, and experimental design problemsMachine learning and deep learning -- internal Sandia conference
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Conference Presentation – 2022 Conference Presentation | 2022 |
Using Ultrasonic Attenuation in Cortical Bone to Infer Distributions on Pore SizeApplied Mathematical Modelling |
Journal Article – 2022 Journal Article | 2022 |
Bayesian risk-averse optimal experimental design with feedbackUT Austin working group
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Presentation (non-conference) – 2022 Presentation (non-conference) | 2022 |
Exploring risk-averse design criteria for sequential optimal experimental design in a Bayesian settingSiam Uq
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Conference Presentation – 2022 Conference Presentation | 2022 |
An inverse problem to infer cortical porosity from ultrasound attenuation dataquantitative musculoskeletal imaging (QMSKI) conference
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Abstract – 2022 Abstract | 2022 |
Exploring risk-averse design criteria for sequential optimal experimental design in a Bayesian settingMechanistic Machine Learning and Digital Twins for Compuational Science, Engineering & Technology
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Conference Presentation – 2021 Conference Presentation | 2021 |
Document Title | Type | Year |