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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
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
ECCOMAS June2022 Alternates 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) Michael S. Eldred	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
Elastic Model Calibration using Dakota 8th European Congress on Computational Methods in Applied Sciences and Engineering James Derek Tucker, Michael S. Eldred, Devin Francom	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
A Neural Network Based Model for Reactive Heavy Hydrocarbon Potential Energy Surfaces 18th International Conference on Numerical Combustion Yoona NMN Yang, Habib N. Najm, Judit Zador, Michael S. Eldred	Conference Presentation – 2022 Conference Presentation	2022
Machine learning the C5H5 potential energy surface Unimolecular reactions Faraday Discussion Yoona NMN Yang, Carles Marti Aliod, Michael S. Eldred, Judit Zador, Habib N. Najm	Abstract – 2022 Abstract	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
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
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
Multimodel Methods for Uncertainty Quantification of Repository Systems 2022 International High Level Radioactive Waste Management Conference Teresa Portone, Michael S. Eldred, Gianluca Geraci, Laura Painton Swiler	Abstract – 2022 Abstract	2022
Adaptive experimental design for multi-fidelity surrogate modeling of multi-disciplinary systems International Journal For Numerical Methods In Engineering John Davis Jakeman, Sam Friedman, Michael S. Eldred, Lorenzo Tamellini, Alex Gorodestky, Doug Allaire https://www.osti.gov/search/identifier:1855808	Journal Article – 2022 Journal Article	2022
A neural network based model for reactive heavy hydrocarbon potential energy surfaces 18th International Conference on Numerical Combustion \| The Combustion Institute Yoona NMN Yang, Habib N. Najm, Judit Zador, Michael S. Eldred	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 (ECCOMAS) Friedrich Menhorn, Gianluca Geraci, Daniel Thomas Seidl, Ryan King, Michael S. Eldred, Hans-Joachim Bungartz, Youssef Marzouk	Abstract – 2022 Abstract	2022
Surrogate models and physics constraints in atomistic modeling RAMSESReduced order models; Approximation theory; Machine learning; Surrogates, Emulators and Simulators Habib N. Najm, Yoona NMN Yang, Judit Zador, Michael S. Eldred	Conference Presentation – 2021 Conference Presentation	2021
Multifidelity Uq Workflows With Dakota?s Graphical User Interface 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) Gianluca Geraci, Elliott Marshall Ridgway, Brian M. Adams, Bryan William Reuter, Michael S. Eldred	Abstract – 2021 Abstract	2021
Document Title	Type	Year

Results 1–25 of 254

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

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

ECCOMAS June2022 Alternates

Multifidelity UQ Workflows with Dakota's Graphcal User Interface

Multifidelity Uncertainty Quantification For Non-Deterministic Models

Elastic Model Calibration using Dakota

Model Tuning for Multifidelity Sampling in Dakota

A Neural Network Based Model for Reactive Heavy Hydrocarbon Potential Energy Surfaces

Machine learning the C5H5 potential energy surface

Multifidelity Data Fusion in Convolutional Encoder/Decoder Networks

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

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

Multimodel Methods for Uncertainty Quantification of Repository Systems

Adaptive experimental design for multi-fidelity surrogate modeling of multi-disciplinary systems

A neural network based model for reactive heavy hydrocarbon potential energy surfaces

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

Surrogate models and physics constraints in atomistic modeling

Multifidelity Uq Workflows With Dakota?s Graphical User Interface