Publications

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Randomized Functional Sparse Tucker Tensor for Compression and Fast Visualization of Scientific Data

26th Ieee International Conference On High Performance Computing, Data, And Analytics

Prashant Rai, Cannada Lewis, Alex Arkady Gorodetsky

Conference Paper – 2022 Conference Paper 2022

The Dakota Project: Connecting the Pipeline from Uncertainty Quantification R&D to Mission Impact

NASA Langley HPC Seminar Series

Michael S. Eldred, Gianluca Geraci, Alex Arkady Gorodetsky, John Davis Jakeman, Teresa Portone, Timothy Michael Wildey, Ahmad Rushdi, Daniel Thomas Seidl

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

Advanced multilevel and multifidelity UQ strategies: applications, generalized model hierarchies, and data-driven approaches

SIAM Conference of Uncertainty Quantification (UQ22)

Teresa Portone, John Davis Jakeman, Alex Arkady Gorodetsky

Abstract – 2021 Abstract 2021

MFNets: data efficient all-at-once learning of multifidelity surrogates as directed networks of information sources

Computational Mechanics

Alex Arkady Gorodetsky, John Davis Jakeman, Gianluca Geraci

https://www.osti.gov/search/identifier:1820427

Journal Article – 2021 Journal Article 2021

Efficient Deployment of Multifidelity Sampling Methods in Production Settings

Usnccm16

Michael S. Eldred, Gianluca Geraci, Alex Arkady Gorodetsky, John Davis Jakeman, Teresa Portone

Conference Presentation – 2021 Conference Presentation 2021

Low-Rank Tensor Network Approximations for Earth System Model

Siam Cse 2021

Cosmin Safta, Khachik Sargsyan, John Davis Jakeman, Alex Arkady Gorodetsky

https://www.osti.gov/search/identifier:1854317

Conference Presentation – 2021 Conference Presentation 2021

Recent Advances in Adaptive Refinement of (Regression-Based) Multifidelity Surrogates for UQ

Siam Cse21

Michael S. Eldred, Alex Arkady Gorodetsky, Gianluca Geraci, John Davis Jakeman, Teresa Portone

https://www.osti.gov/search/identifier:1847573

Conference Presentation – 2021 Conference Presentation 2021

Low-rank Approximations for High-dimensional and Computationally Expensive Models

World Congress on Computational Mechanics

Cosmin Safta, John Davis Jakeman, Khachik Sargsyan, Alex Arkady Gorodetsky

Abstract – 2020 Abstract 2020

Multilevel / Multifidelity Sampling and Emulation for Forward UQ

Applied Math Visioning Workshop

Michael S. Eldred, Gianluca Geraci, Alex Arkady Gorodetsky, John Davis Jakeman

https://www.osti.gov/search/identifier:1645988

Presentation (non-conference) – 2019 Presentation (non-conference) 2019

Uncertainty Quantification for E3SM Land Component using Low-Rank Surrogate Models

American Geophysical Society Fall Meeting 2019

Cosmin Safta, Khachik Sargsyan, John Davis Jakeman, Alex Arkady Gorodetsky

Abstract – 2019 Abstract 2019

Recent Advancements for Multifidelity UQ and OUU in Dakota: Capability Overview and Perspectives

US National Congress of Computational Mechanics

Gianluca Geraci, Michael S. Eldred, Alex Arkady Gorodetsky, John Davis Jakeman

https://www.osti.gov/search/identifier:1641419

Conference Paper – 2019 Conference Paper 2019

Experience with Multilevel/Multifidelity/Multi-Index Sampling and Surrogate Approaches for Forward Uncertainty Quantification

15th US National Congress on Computational Mechanics (USNCCM)

Michael S. Eldred, Gianluca Geraci, Alex Arkady Gorodetsky, John Davis Jakeman

https://www.osti.gov/search/identifier:1641388

Conference Paper – 2019 Conference Paper 2019

Exploiting Model Structure for Forward Propagation of Uncertainty in Earth System Models

3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering

Cosmin Safta, Khachik Sargsyan, John Davis Jakeman, Alex Arkady Gorodetsky, Daniel Ricciuto

https://www.osti.gov/search/identifier:1640926

Conference Paper – 2019 Conference Paper 2019

Low-Rank Functional Tensor Train Representations for High-Dimensional Computational Models

FASTMath-4 Institute - All-Hands Meeting

Cosmin Safta, John Davis Jakeman, Alex Arkady Gorodetsky

https://www.osti.gov/search/identifier:1645344

Presentation (non-conference) – 2019 Presentation (non-conference) 2019

Gradient-based Optimization for Regression in the Functional Tensor-Train Format

Alex Arkady Gorodetsky, John Davis Jakeman

https://www.osti.gov/search/identifier:1733296

Report – 2018 Report 2018

Low-rank Tensor Integration for Gaussian Filtering of Continuous TIme Nonlinear Systems

56th IEEE Conference on Decision and Control

Alex Arkady Gorodetsky, Sertac Karaman, Youssef Marzouk

https://www.osti.gov/search/identifier:1486890

Conference Paper – 2017 Conference Paper 2017

Low-rank functional representations for analysis of high-dimensional models

DOE ASCR Applied Mathematics Principal Investigator's (PI) Meeting

Alex Arkady Gorodetsky

Display or Poster (non-conference) – 2017 Display or Poster (non-conference) 2017

Tractable Uncertainty Quantification: Exploiting Structure

Sandia CIS Review

John Davis Jakeman, Alex Arkady Gorodetsky, Michael S. Eldred

https://www.osti.gov/search/identifier:1466103

Conference Paper – 2017 Conference Paper 2017

Low-rank functional decompositions with applications to stochastic optimal control

2017 Meeting of the International Linear Algebra Society

Alex Arkady Gorodetsky

https://www.osti.gov/search/identifier:1463960

Conference Paper – 2017 Conference Paper 2017

Multilevel-Multifidelity Expansions with Application to Forward UQ, OUU, and Emulator-Based Bayesian Inference

14th U.S. National Congress on Computational Mechanics (USNCCM14)

Michael S. Eldred, Gianluca Geraci, Alex Arkady Gorodetsky, John Davis Jakeman

https://www.osti.gov/search/identifier:1507501

Conference Paper – 2017 Conference Paper 2017

Sampling, Polynomial Chaos and Functional Tensor Train Multilevel/Multifidelity Strategies for Forward UQ

SIAM Annual 17

Gianluca Geraci, Alex Arkady Gorodetsky, John Davis Jakeman, Michael S. Eldred

https://www.osti.gov/search/identifier:1507076

Conference Paper – 2017 Conference Paper 2017

Compression for Stochastic Optimal Control

Seminar at Los Alamos National Laboratory

Alex Arkady Gorodetsky

Presentation (non-conference) – 2017 Presentation (non-conference) 2017

Optimization under uncertainty and high dimensional regression for additive manufacturing

SIAM Conference on Optimization

Bart G van Bloemen Waanders, Alex Arkady Gorodetsky

https://www.osti.gov/search/identifier:1367311

Conference Paper – 2017 Conference Paper 2017

Low-rank functional approximation for Gaussian filtering

Uncertainty Quantification and Data-Driven Modeling

Alex Arkady Gorodetsky, Sertac Karaman, Youssef Marzouk

https://www.osti.gov/search/identifier:1456416

Conference Paper – 2017 Conference Paper 2017

High-dimensional regression of low-rank functions

Siam Cse

Alex Arkady Gorodetsky, John Davis Jakeman

https://www.osti.gov/search/identifier:1426383

Conference Paper – 2017 Conference Paper 2017
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Results 1–25 of 26