Publications
Publication | Type | Year |
---|---|---|
Randomized Functional Sparse Tucker Tensor for Compression and Fast Visualization of Scientific Data26th Ieee International Conference On High Performance Computing, Data, And Analytics
|
Conference Paper – 2022 Conference Paper | 2022 |
The Dakota Project: Connecting the Pipeline from Uncertainty Quantification R&D to Mission ImpactNASA Langley HPC Seminar Series
|
Presentation (non-conference) – 2021 Presentation (non-conference) | 2021 |
Advanced multilevel and multifidelity UQ strategies: applications, generalized model hierarchies, and data-driven approachesSIAM Conference of Uncertainty Quantification (UQ22)
|
Abstract – 2021 Abstract | 2021 |
MFNets: data efficient all-at-once learning of multifidelity surrogates as directed networks of information sourcesComputational Mechanics |
Journal Article – 2021 Journal Article | 2021 |
Efficient Deployment of Multifidelity Sampling Methods in Production SettingsUsnccm16
|
Conference Presentation – 2021 Conference Presentation | 2021 |
Low-Rank Tensor Network Approximations for Earth System ModelSiam Cse 2021 |
Conference Presentation – 2021 Conference Presentation | 2021 |
Recent Advances in Adaptive Refinement of (Regression-Based) Multifidelity Surrogates for UQSiam Cse21 |
Conference Presentation – 2021 Conference Presentation | 2021 |
Low-rank Approximations for High-dimensional and Computationally Expensive ModelsWorld Congress on Computational Mechanics
|
Abstract – 2020 Abstract | 2020 |
Multilevel / Multifidelity Sampling and Emulation for Forward UQApplied Math Visioning Workshop |
Presentation (non-conference) – 2019 Presentation (non-conference) | 2019 |
Uncertainty Quantification for E3SM Land Component using Low-Rank Surrogate ModelsAmerican Geophysical Society Fall Meeting 2019
|
Abstract – 2019 Abstract | 2019 |
Recent Advancements for Multifidelity UQ and OUU in Dakota: Capability Overview and PerspectivesUS National Congress of Computational Mechanics |
Conference Paper – 2019 Conference Paper | 2019 |
Experience with Multilevel/Multifidelity/Multi-Index Sampling and Surrogate Approaches for Forward Uncertainty Quantification15th US National Congress on Computational Mechanics (USNCCM) |
Conference Paper – 2019 Conference Paper | 2019 |
Exploiting Model Structure for Forward Propagation of Uncertainty in Earth System Models3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering |
Conference Paper – 2019 Conference Paper | 2019 |
Low-Rank Functional Tensor Train Representations for High-Dimensional Computational ModelsFASTMath-4 Institute - All-Hands Meeting |
Presentation (non-conference) – 2019 Presentation (non-conference) | 2019 |
Gradient-based Optimization for Regression in the Functional Tensor-Train Format |
Report – 2018 Report | 2018 |
Low-rank Tensor Integration for Gaussian Filtering of Continuous TIme Nonlinear Systems56th IEEE Conference on Decision and Control |
Conference Paper – 2017 Conference Paper | 2017 |
Low-rank functional representations for analysis of high-dimensional modelsDOE ASCR Applied Mathematics Principal Investigator's (PI) Meeting
|
Display or Poster (non-conference) – 2017 Display or Poster (non-conference) | 2017 |
Tractable Uncertainty Quantification: Exploiting StructureSandia CIS Review |
Conference Paper – 2017 Conference Paper | 2017 |
Low-rank functional decompositions with applications to stochastic optimal control2017 Meeting of the International Linear Algebra Society |
Conference Paper – 2017 Conference Paper | 2017 |
Multilevel-Multifidelity Expansions with Application to Forward UQ, OUU, and Emulator-Based Bayesian Inference14th U.S. National Congress on Computational Mechanics (USNCCM14) |
Conference Paper – 2017 Conference Paper | 2017 |
Sampling, Polynomial Chaos and Functional Tensor Train Multilevel/Multifidelity Strategies for Forward UQSIAM Annual 17 |
Conference Paper – 2017 Conference Paper | 2017 |
Compression for Stochastic Optimal ControlSeminar at Los Alamos National Laboratory
|
Presentation (non-conference) – 2017 Presentation (non-conference) | 2017 |
Optimization under uncertainty and high dimensional regression for additive manufacturingSIAM Conference on Optimization |
Conference Paper – 2017 Conference Paper | 2017 |
Low-rank functional approximation for Gaussian filteringUncertainty Quantification and Data-Driven Modeling |
Conference Paper – 2017 Conference Paper | 2017 |
High-dimensional regression of low-rank functionsSiam Cse |
Conference Paper – 2017 Conference Paper | 2017 |
Document Title | Type | Year |