Publications
| Publication | Type | Year |
|---|---|---|
Characterizing and Propagating Model Discrepancy in PDE-Constrained OptimizationUSACM Thematic Conference on Uncertainty Quantification for Machine Learning Integrated Physics Modeling
|
Conference Poster – 2022 Conference Poster | 2022 |
Facilitating Atmospheric Source Inversion via Operator RegressionSIAM Conference on Mathematics of Planet Earth
|
Conference Presentation – 2022 Conference Presentation | 2022 |
Facilitating Atmospheric Source Inversion via Deep Operator Network SurrogatesEsco 2022
|
Conference Presentation – 2022 Conference Presentation | 2022 |
Hyper-differential sensitivity analysis with respect to model discrepancyASCR RISE Project Meeting
|
Presentation (non-conference) – 2022 Presentation (non-conference) | 2022 |
Hyper-differential sensitivity analysis with respect to model discrepancyECCOMAS Congress
|
Conference Presentation – 2022 Conference Presentation | 2022 |
Characterizing and propagating model discrepancy in PDE-constrained optimizationUSACM Thematic Conference on Uncertainty Quantification for Machine Learning Integrated Physics Modeling (MLIP)
|
Abstract – 2022 Abstract | 2022 |
Enabling and interpreting hyper-differential sensitivity analysis for Bayesian inverse problemsSIAM Conference on Uncertainty Quantification
|
Conference Presentation – 2022 Conference Presentation | 2022 |
Facilitating atmospheric source inversion via operator regressionSIAM Conference on Mathematics of Planet Earth
|
Abstract – 2022 Abstract | 2022 |
Hyper-Differential Sensitivity Analysis of Inverse Problems Governed by PDEsJoint Mathematics Meetings 2022
|
Conference Presentation – 2021 Conference Presentation | 2021 |
Hyper-differential sensitivity analysis with respect to model discrepancyThe 8th European Congress on Computational Methods in Applied Sciences and Engineering
|
Abstract – 2021 Abstract | 2021 |
Hyper-differential sensitivity analysis in PDE-constrained inverse problemsUC Merced Virtual Seminar Talk
|
Presentation (non-conference) – 2021 Presentation (non-conference) | 2021 |
Hyper-differential sensitivity analysis for model form errorMechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology
|
Conference Presentation – 2021 Conference Presentation | 2021 |
Bedrock Inversion and Hyper Differential Sensitivity Analysis for the Shallow Ice ModelNumerical Analysis in Data Science Transition Workshop
|
Presentation (non-conference) – 2021 Presentation (non-conference) | 2021 |
Enabling and interpreting hyper-differential sensitivity analysis for Bayesian inverse problemsProject meeting with university collaborators on the ASCR RISE project |
Presentation (non-conference) – 2021 Presentation (non-conference) | 2021 |
Hyper-differential sensitivity analysis of model form errorMechanistic Machine Learning and Digital Twins for Computational Science conference
|
Abstract – 2021 Abstract | 2021 |
Hyper-Differential Sensitivity Analysis for Robust Machine Learned Surrogate ModelsSIAM Conference on Computational Science and Engineering |
Conference Presentation – 2021 Conference Presentation | 2021 |
Hyper-Differential Sensitivity Analysis: Managing High Dimensional Uncertainty in Large-Scale Optimization ProblemsUncertainty Management and Machine Learning in Engineering Applications |
Conference Presentation – 2020 Conference Presentation | 2020 |
Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable ProjectionSIAM Journal on Mathematics of Data Science |
Journal Article – 2020 Journal Article | 2020 |
Hyper-Differential Sensitivity Analysis: Managing High Dimensional Uncertainty in Large-Scale OptimizationNumerical Analysis Seminar at North Carolina State University (Conducted online) |
Presentation (non-conference) – 2020 Presentation (non-conference) | 2020 |
Hyper-Differential Sensitivity Analysis: Managing High Dimensional Uncertainty in Large-Scale OptimizationNumerical Analysis Seminar at North Carolina State University (Online due to COVID-19)
|
Abstract – 2020 Abstract | 2020 |
Classification of autonomic dysfunction through data analyticsMathematical Biosciences and Engineering |
Journal Article – 2020 Journal Article | 2020 |
Robustness of Sobol? indices to distributional uncertaintySIAM Conference on Uncertainty Quantification |
Conference Paper – 2020 Conference Paper | 2020 |
Hyper-differential sensitivity analysis of PDE-constrained inverse problemsAWM Math Research Competition 2020 |
Presentation (non-conference) – 2020 Presentation (non-conference) | 2020 |
Efficient Training of Neural Network Surrogate Methods with Variable ProjectionMathematical and Scientific Machine Learning |
Conference Paper – 2020 Conference Paper | 2020 |
Randomized Algorithms for Generalized Singular Value Decomposition with Application to Sensitivity AnalysisNumerical Linear Algebra with Applications |
Journal Article – 2020 Journal Article | 2020 |
| Document Title | Type | Year |