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Results for “Inverse Problems”

Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 217 records · Page 12

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DOE OSTI2018

Hierarchical Bayesian Models for X-ray Imaging: Computational Considerations for Uncertainty Quantification in Inverse Problems

This presentation will be given as an invited colloquium at Mitsubishi Research and at Massachusetts Institute of Technology.

97 MATHEMATICS AND COMPUTING↗

DOE OSTI2018

Hierarchical Bayesian Models for X-ray Imaging: Computational Considerations for Uncertainty Quantification in Inverse Problems

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97 MATHEMATICS AND COMPUTING↗

DOE OSTI2021

Solving inverse problems for process-structure linkages using asynchronous parallel Bayesian optimization.

Abstract not provided.

Tran, Anh↗

DOE OSTI2021

Hierarchical off-diagonal Hessian approximation for Bayesian inverse problems with application to the flow of the Greenland ice sheet.

Abstract not provided.

Hartland, Tucker↗

DOE OSTI2021

Combining Measure Theory and Bayes? Rule to Solve a Stochastic Inverse Problem.

Abstract not provided.

Wildey, Timothy↗

DOE OSTI2021

Risk Averse Optimal Experiment Design using R-Optimality for Vibration Control Inverse Problems.

Abstract not provided.

Smith, Chandler↗

DOE OSTI2021

Solving Stochastic Inverse Problems for Property-Structure Relationships in Computational Materials Science.

Abstract not provided.

Wildey, Timothy↗

DOE OSTI2021

Hyper-Differential Sensitivity Analysis of Inverse Problems Governed by PDEs.

Abstract not provided.

Sunseri, Isaac↗

DOE OSTI2022

Solving inverse problems in process-structure-property linkage with Gaussian process regression.

Abstract not provided.

Tran, Anh↗

DOE OSTI2022

Enabling and interpreting hyper-differential sensitivity analysis for Bayesian inverse problems.

Abstract not provided.

Hart, Joseph↗

DOE OSTI2022

A Probabilistic Characterization of Aleatoric and Epistemic Uncertainty in Solutions to Stochastic Inverse Problems Using Machine Learning Surrogate Models.

Abstract not provided.

Wildey, Timothy↗

DOE OSTI2022

Beyond forward ICME models: A perspective on materials design as inverse problems.

Abstract not provided.

Tran, Anh↗

DOE OSTI2022

Constructing Data-consistent Solutions to Stochastic Inverse Problems with Sparse Observable Data.

Abstract not provided.

Yen, Tian Yu↗

DOE OSTI2022

Estimating Aleatoric and Epistemic Uncertainty in Solutions to Stochastic Inverse Problems Using Machine Learning Surrogate Models.

Abstract not provided.

Wildey, Timothy↗

DOE OSTI2023

Solving Transient MIMO Control Inverse Problems using Randomized Truncated Singular Value Decomposition

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Smith, Chandler Baldwin↗

DOE OSTI2023

A Scalable Variational Approach for Solving Data-Consistent Stochastic Inverse Problems

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Wildey, Timothy Michael↗

DOE OSTI2023

Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data

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Gulian, Mamikon↗

DOE OSTI2023

Estimating the Error in Solutions to Stochastic Inverse Problems When Using Machine Learning Surrogates

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Wildey, Timothy Michael↗