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Publication	Type	Year
Training and predictive uncertainty for multifidelity Convolutional Neural Networks SIAM Conference on Mathematics of Data Science (MDS22) Lauren Partin, Gianluca Geraci, Ahmad Rushdi, Michael S. Eldred, Daniele Schiavazzi	Abstract – 2022 Abstract	2022
Embedded uncertainty estimation for data-driven surrogates to enable trustworthy ML for UQ Machine Learning and Deep Learning Conference Timothy Michael Wildey, Gianluca Geraci, Michael S. Eldred, John Davis Jakeman, Owen Davis, Teresa Portone, Tian Yu NMN Yen, Bryan William Reuter, Alex Gorodetsky, Ahmad Rushdi, Daniele Schiavazzi, Lauren Partin	Conference Presentation – 2022 Conference Presentation	2022
Overview and perspectives on multifidelity UQ Inria Platon projet-team seminar Gianluca Geraci, Michael S. Eldred, Alex Gorodetsky, John Davis Jakeman, Teresa Portone, Bryan William Reuter	Abstract – 2022 Abstract	2022
Multimodel Methods for Uncertainty Quantification of Repository Systems ANS 2022 International High Level Radioactive Waste Management Meeting Teresa Portone, Michael S. Eldred, Gianluca Geraci, Laura Painton Swiler	Conference Paper – 2022 Conference Paper	2022
Uncertainty Quantification within SECURE LDRD CIS Research Foundation External Review Ali Pinar, Thomas D. Tarman, Laura Painton Swiler, Jared Lee Gearhart, Derek H. Hart, Eric D. Vugrin, Bryan Arguello, Gianluca Geraci, Bert Debusschere, Seth Terence Hanson, Alexander V. Outkin, Jamie Thorpe, William Eugene Hart, Meghan Anne Sahakian, Kasimir Georg Gabert, Casey Glatter, Emma Savannah Johnson, She?ifa Punla-Green	Display or Poster (non-conference) – 2022 Display or Poster (non-conference)	2022
Deconvolution strategies for efficient parametric variance estimation in stochastic media transport problems 2022 ANS Annual Meeting Gianluca Geraci, Aaron Jeffrey Olson	Conference Presentation – 2022 Conference Presentation	2022
Numerical Investigation on the Performance of a Variance Deconvolution Estimator ANS Annual Meeting Kayla Beth Clements, Gianluca Geraci, Aaron Jeffrey Olson	Conference Presentation – 2022 Conference Presentation	2022
Application of Forward Multifidelity Uncertainty Quantification to Wind Farms AIAA SciTech 2023 Alan Hsieh, David Charles Maniaci, Thomas Herges, Gianluca Geraci, Daniel Thomas Seidl	Abstract – 2022 Abstract	2022
Multilevel Monte Carlo derivative-free optimization under uncertainty of wind power plants 8th European Congress on Computational Methods in Applied Sciences and Engineering Friedrich Menhorn, Gianluca Geraci, Daniel Thomas Seidl, Ryan King, Michael S. Eldred, Hans-Joachim Bungartz, Youssef Marzouk	Conference Presentation – 2022 Conference Presentation	2022
Multifidelity UQ Workflows with Dakota's Graphcal User Interface Eccomas 2022 Gianluca Geraci, Elliott Marshall Ridgway, Brian M. Adams, Bryan William Reuter, Michael S. Eldred	Conference Presentation – 2022 Conference Presentation	2022
Multifidelity Uncertainty Quantification For Non-Deterministic Models ECCOMAS Congress 2022 Bryan William Reuter, Gianluca Geraci, Timothy Michael Wildey, Michael S. Eldred	Conference Presentation – 2022 Conference Presentation	2022
Overview of the latest features and capabilities in the Dakota software 2022 ECCOMAS Congress John Adam Stephens, Daniel Thomas Seidl, Brian M. Adams, Gianluca Geraci	Conference Presentation – 2022 Conference Presentation	2022
Model Tuning for Multifidelity Sampling in Dakota 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) Michael S. Eldred, Gianluca Geraci, Bryan William Reuter, Teresa Portone, John Davis Jakeman, Alex A. Gorodetsky	Conference Presentation – 2022 Conference Presentation	2022
Updates on Monte Carlo transport uncertainty quantification and sensitivity analysis methods at SNL CEMeNT PSAAP Center TST Meeting Aaron Jeffrey Olson, Gianluca Geraci, Richard B. Lehoucq	Presentation (non-conference) – 2022 Presentation (non-conference)	2022
Numerical Investigation on the Performance of a Variance Deconvolution Estimator CEMeNT PSAAP Center TST Meeting Kayla Beth Clements, Gianluca Geraci, Aaron Jeffrey Olson	Presentation (non-conference) – 2022 Presentation (non-conference)	2022
Multifidelity Data Fusion in Convolutional Encoder/Decoder Networks Rising Stars Event Lauren Partin, Gianluca Geraci, Ahmad Rushdi, Michael S. Eldred, Daniele Schiavazzi	Presentation (non-conference) – 2022 Presentation (non-conference)	2022
Numerical Investigation on the Performance of a Variance Deconvolution Estimator 2022 SIAM Conference on Uncertainty Quantification Kayla Beth Clements, Gianluca Geraci, Aaron Jeffrey Olson	Conference Poster – 2022 Conference Poster	2022
Efficient Multifidelity Strategies for Uncertainty Quantification of Non-Deterministic Models Siam Uq 2022 Bryan William Reuter, Gianluca Geraci, Timothy Michael Wildey	Conference Presentation – 2022 Conference Presentation	2022
All-at-Once (and Bi-Level) Model Tuning for Multifidelity Sampling SIAM Conference on Uncertainty Quantification (UQ22) Michael S. Eldred, Gianluca Geraci, Teresa Portone, Alex A. Gorodetsky, John Davis Jakeman	Conference Presentation – 2022 Conference Presentation	2022
Multifidelity Data Fusion in Convolutional Encoder/Decoder Networks Siam Uq 22 Lauren Partin, Gianluca Geraci, Ahmad Rushdi, Michael S. Eldred, Daniele Schiavazzi	Conference Presentation – 2022 Conference Presentation	2022
Multilevel Monte Carlo estimators for derivative-free optimization under uncertainty Siam Uq 22 Friedrich Menhorn, Gianluca Geraci, Daniel Thomas Seidl, Youssef Marzouk, Michael S. Eldred, Hans-Joachim Bungartz	Conference Presentation – 2022 Conference Presentation	2022
Exploration of multifidelity UQ methods for Monte Carlo radiation applications in stochastic media SIAM Conference on Uncertainty Quantification (2022) Gianluca Geraci, Aaron Jeffrey Olson	Conference Presentation – 2022 Conference Presentation	2022
Hybrid multilevel Monte Carlo polynomial chaos method for global sensitivity analysis Siam Uq 22 Michael Brian Merritt, Gianluca Geraci, Teresa Portone, Michael S. Eldred	Conference Presentation – 2022 Conference Presentation	2022
Automating Model Selection and Tuning for Multifidelity UQ (MFUQ) Siam Uq 22 James Warner, Geoffrey Bomarito, Gianluca Geraci, Michael S. Eldred, Marten Thompson, John Davis Jakeman, Patrick Leser, Paul Leser, Alex Gorodetsky	Conference Presentation – 2022 Conference Presentation	2022
Multifidelity Data Fusion in Convolutional Encoder/Decoder Networks Siam Uq 22 Lauren Partin, Gianluca Geraci, Ahmad Rushdi, Michael S. Eldred, Daniele Schiavazzi	Conference Presentation – 2022 Conference Presentation	2022
Document Title	Type	Year

Results 1–25 of 193

Publications

Training and predictive uncertainty for multifidelity Convolutional Neural Networks

Embedded uncertainty estimation for data-driven surrogates to enable trustworthy ML for UQ

Overview and perspectives on multifidelity UQ

Multimodel Methods for Uncertainty Quantification of Repository Systems

Uncertainty Quantification within SECURE LDRD

Deconvolution strategies for efficient parametric variance estimation in stochastic media transport problems

Numerical Investigation on the Performance of a Variance Deconvolution Estimator

Application of Forward Multifidelity Uncertainty Quantification to Wind Farms

Multilevel Monte Carlo derivative-free optimization under uncertainty of wind power plants

Multifidelity UQ Workflows with Dakota's Graphcal User Interface

Multifidelity Uncertainty Quantification For Non-Deterministic Models

Overview of the latest features and capabilities in the Dakota software

Model Tuning for Multifidelity Sampling in Dakota

Updates on Monte Carlo transport uncertainty quantification and sensitivity analysis methods at SNL

Numerical Investigation on the Performance of a Variance Deconvolution Estimator

Multifidelity Data Fusion in Convolutional Encoder/Decoder Networks

Numerical Investigation on the Performance of a Variance Deconvolution Estimator

Efficient Multifidelity Strategies for Uncertainty Quantification of Non-Deterministic Models

All-at-Once (and Bi-Level) Model Tuning for Multifidelity Sampling

Multifidelity Data Fusion in Convolutional Encoder/Decoder Networks

Multilevel Monte Carlo estimators for derivative-free optimization under uncertainty

Exploration of multifidelity UQ methods for Monte Carlo radiation applications in stochastic media

Hybrid multilevel Monte Carlo polynomial chaos method for global sensitivity analysis

Automating Model Selection and Tuning for Multifidelity UQ (MFUQ)

Multifidelity Data Fusion in Convolutional Encoder/Decoder Networks