Publications

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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