Publications
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Publication | Type | Year |
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Quantifying Model-Form Uncertainty in the Absence of DataInternational Modal Analysis Conference (IMAC) 2023
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Abstract – 2022 Abstract | 2022 |
Data-Driven Model-Form Uncertainty with Bayesian Statistics and Neural Differential Equations8th European Congress on Computational Methods in Applied Sciences and Engineering
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Conference Presentation – 2022 Conference Presentation | 2022 |
Data-Driven Model-Form Uncertainty with Bayesian Statistics and Neural Differential EquationsThe 8th European Congress on Computational Methods in Applied Sciences and Engineering
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Abstract – 2021 Abstract | 2021 |
The ASC Advanced Machine Learning Initiative at Sandia National Laboratories: FY21 Accomplishments and FY22 PlansASC AMLI Program Review
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Presentation (non-conference) – 2021 Presentation (non-conference) | 2021 |
SAGE Intrusion Detection System: Sensitivity Analysis Guided Explainability for Machine Learning |
SAND Report – 2021 SAND Report | 2021 |
Learning Missing Mechanisms in a Dynamical System from a Subset of State Variable Observations16th U.S. National Congress on Computational Mechanics
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Conference Presentation – 2021 Conference Presentation | 2021 |
Assessing the Efficacy of Universal Differential Equations to Learn Missing Dynamics from a Subset of Observable State VariablesMachine Learning Deep Learning Workshop
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Conference Presentation – 2021 Conference Presentation | 2021 |
Learning missing mechanisms in a dynamical system from a subset of state variable observations16th U.S. National Congress on Computational Mechanics
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Abstract – 2021 Abstract | 2021 |
SAGE Advice? Assessing the Accuracy of ML Explanations for Model CredibilityNIST AI Assurance Leadership Team
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Presentation (non-conference) – 2020 Presentation (non-conference) | 2020 |
Time Series Dimension Reduction for Surrogate Models of Port Scanning Cyber Emulations |
SAND Report – 2020 SAND Report | 2020 |
Assessing Global Sensitivity Analysis for Credibility in Machine Learning ExplainabilitySAMSIGlobal Sensitivity Analysis Working Group Meeting |
Presentation (non-conference) – 2020 Presentation (non-conference) | 2020 |
COVID-19 Medical Resource DemandsDOE Presentation |
Presentation (non-conference) – 2020 Presentation (non-conference) | 2020 |
Characterization of Partially Observed Epidemics - Application to COVID-19 |
SAND Report – 2020 SAND Report | 2020 |
Mathematics and Statistics at Sandia National Laboratories: Perspectives from an Engineering Scientist, Analyst, and Student InternNCSU Mathematics and Statistics Recruiting |
Presentation (non-conference) – 2017 Presentation (non-conference) | 2017 |
Mathematics and Statistics at Sandia National Laboratories: Perspectives from an Engineering Scientist, Analyst, and Student InternNCSU Mathematics and Statistics Recruiting
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Abstract – 2017 Abstract | 2017 |
Document Title | Type | Year |