Publications
Publication | Type | Year |
---|---|---|
Training and predictive uncertainty for multifidelity Convolutional Neural NetworksSIAM Conference on Mathematics of Data Science (MDS22)
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Abstract – 2022 Abstract | 2022 |
Embedded uncertainty estimation for data-driven surrogates to enable trustworthy ML for UQMachine Learning and Deep Learning Conference
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Conference Presentation – 2022 Conference Presentation | 2022 |
Overview and perspectives on multifidelity UQInria Platon projet-team seminar
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Abstract – 2022 Abstract | 2022 |
Multimodel Methods for Uncertainty Quantification of Repository SystemsANS 2022 International High Level Radioactive Waste Management Meeting
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Conference Paper – 2022 Conference Paper | 2022 |
Multilevel Monte Carlo derivative-free optimization under uncertainty of wind power plants8th European Congress on Computational Methods in Applied Sciences and Engineering
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Conference Presentation – 2022 Conference Presentation | 2022 |
ECCOMAS June2022 Alternates8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS)
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Conference Presentation – 2022 Conference Presentation | 2022 |
Multifidelity UQ Workflows with Dakota's Graphcal User InterfaceEccomas 2022
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Conference Presentation – 2022 Conference Presentation | 2022 |
Multifidelity Uncertainty Quantification For Non-Deterministic ModelsECCOMAS Congress 2022
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Conference Presentation – 2022 Conference Presentation | 2022 |
Elastic Model Calibration using Dakota8th European Congress on Computational Methods in Applied Sciences and Engineering
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Conference Presentation – 2022 Conference Presentation | 2022 |
Model Tuning for Multifidelity Sampling in Dakota8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS)
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Conference Presentation – 2022 Conference Presentation | 2022 |
A Neural Network Based Model for Reactive Heavy Hydrocarbon Potential Energy Surfaces18th International Conference on Numerical Combustion
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Conference Presentation – 2022 Conference Presentation | 2022 |
Machine learning the C5H5 potential energy surfaceUnimolecular reactions Faraday Discussion
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Abstract – 2022 Abstract | 2022 |
Multifidelity Data Fusion in Convolutional Encoder/Decoder NetworksRising Stars Event
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Presentation (non-conference) – 2022 Presentation (non-conference) | 2022 |
All-at-Once (and Bi-Level) Model Tuning for Multifidelity SamplingSIAM Conference on Uncertainty Quantification (UQ22)
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Conference Presentation – 2022 Conference Presentation | 2022 |
Multifidelity Data Fusion in Convolutional Encoder/Decoder NetworksSiam Uq 22
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Conference Presentation – 2022 Conference Presentation | 2022 |
Multilevel Monte Carlo estimators for derivative-free optimization under uncertaintySiam Uq 22
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Conference Presentation – 2022 Conference Presentation | 2022 |
Hybrid multilevel Monte Carlo polynomial chaos method for global sensitivity analysisSiam Uq 22
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Conference Presentation – 2022 Conference Presentation | 2022 |
Automating Model Selection and Tuning for Multifidelity UQ (MFUQ)Siam Uq 22
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Conference Presentation – 2022 Conference Presentation | 2022 |
Multifidelity Data Fusion in Convolutional Encoder/Decoder NetworksSiam Uq 22
|
Conference Presentation – 2022 Conference Presentation | 2022 |
Multimodel Methods for Uncertainty Quantification of Repository Systems2022 International High Level Radioactive Waste Management Conference
|
Abstract – 2022 Abstract | 2022 |
Adaptive experimental design for multi-fidelity surrogate modeling of multi-disciplinary systemsInternational Journal For Numerical Methods In Engineering |
Journal Article – 2022 Journal Article | 2022 |
A neural network based model for reactive heavy hydrocarbon potential energy surfaces18th International Conference on Numerical Combustion | The Combustion Institute
|
Abstract – 2022 Abstract | 2022 |
Multilevel Monte Carlo derivative-free optimization under uncertainty of wind power plants8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS)
|
Abstract – 2022 Abstract | 2022 |
Surrogate models and physics constraints in atomistic modelingRAMSESReduced order models; Approximation theory; Machine learning; Surrogates, Emulators and Simulators
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Conference Presentation – 2021 Conference Presentation | 2021 |
Multifidelity Uq Workflows With Dakota?s Graphical User Interface8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS)
|
Abstract – 2021 Abstract | 2021 |
Document Title | Type | Year |