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Papers
2003.02205
Cited By

Probabilistic Performance-Pattern Decomposition (PPPD): analysis
framework and applications to stochastic mechanical systems

Probabilistic Performance-Pattern Decomposition (PPPD): analysis framework and applications to stochastic mechanical systems

Reliability Engineering & System Safety (RESS), 2020

4 March 2020

ArXiv (abs)PDF HTML

Papers citing "Probabilistic Performance-Pattern Decomposition (PPPD): analysis framework and applications to stochastic mechanical systems"

13 / 13 papers shown

Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification

Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantificationReliability Engineering & System Safety (Reliab. Eng. Syst. Saf.), 2024

299

15

0

07 Feb 2024

Emulating the dynamics of complex systems using autoregressive models on
manifolds (mNARX)

Emulating the dynamics of complex systems using autoregressive models on manifolds (mNARX)Mechanical systems and signal processing (MSSP), 2023

320

27

0

28 Jun 2023

Relaxation-based importance sampling for structural reliability analysis

Relaxation-based importance sampling for structural reliability analysisStructural Safety (Struct. Saf.), 2023

305

21

0

23 Mar 2023

General multi-fidelity surrogate models: Framework and active learning
strategies for efficient rare event simulation

General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulationJournal of engineering mechanics (J. Eng. Mech.), 2022

Promiti Chakroborty

Somayajulu L. N. Dhulipala

Michael D. Shields

294

5

0

07 Dec 2022

Probabilistic learning on manifolds constrained by nonlinear partial
differential equations for small datasets

Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasetsComputer Methods in Applied Mechanics and Engineering (CMAME), 2020

Christian Soize

278

32

0

27 Oct 2020

Machine Learning for Reliability Engineering and Safety Applications:
Review of Current Status and Future Opportunities

Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities

294

433

0

19 Aug 2020

Extending classical surrogate modelling to high-dimensions through
supervised dimensionality reduction: a data-driven approach

Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach

322

80

0

15 Dec 2018

Survey of multifidelity methods in uncertainty propagation, inference,
and optimization

Survey of multifidelity methods in uncertainty propagation, inference, and optimizationSIAM Review (SIAM Rev.), 2018

Benjamin Peherstorfer

Karen E. Willcox

345

891

0

28 Jun 2018

Hamiltonian Monte Carlo Methods for Subset Simulation in Reliability
Analysis

Hamiltonian Monte Carlo Methods for Subset Simulation in Reliability AnalysisStructural Safety (SS), 2017

196

138

0

05 Jun 2017

Data-driven probability concentration and sampling on manifold

Data-driven probability concentration and sampling on manifold

Christian Soize

135

97

0

08 Mar 2016

Recovering the number of clusters in data sets with noise features using
feature rescaling factors

Recovering the number of clusters in data sets with noise features using feature rescaling factors

Renato Cordeiro de Amorim

Christian Hennig

171

330

0

22 Feb 2016

Optimal Uncertainty Quantification

Optimal Uncertainty Quantification

Michael McKerns

607

129

0

02 Sep 2010

Choice of neighbor order in nearest-neighbor classification

Choice of neighbor order in nearest-neighbor classification

503

329

0

29 Oct 2008

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