Lista de obras -

A Global Sensitivity Analysis Framework for Hybrid Simulation with Stochastic Substructures

artículo científico publicado en 2021

A general framework for data-driven uncertainty quantification under complex input dependencies using vine copulas

artículo científico publicado en 2019

A global sensitivity analysis framework for hybrid simulation

artículo científico publicado en 2021

A spectral surrogate model for stochastic simulators computed from trajectory samples

artículo científico publicado en 2023

AK-PDEMi: A failure-informed enrichment algorithm for improving the AK-PDEM in reliability analysis

artículo científico publicado en 2022

AUTOMATIC SELECTION OF BASIS-ADAPTIVE SPARSE POLYNOMIAL CHAOS EXPANSIONS FOR ENGINEERING APPLICATIONS

artículo científico publicado en 2022

Active learning for structural reliability: Survey, general framework and benchmark

scientific article published in 2022

An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis

artículo científico publicado en 2018

Bayesian model inversion using stochastic spectral embedding

artículo científico publicado en 2021

Data-driven polynomial chaos expansion for machine learning regression

artículo científico publicado en 2019

Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion

artículo científico publicado en 2017

Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion

artículo científico publicado en 2017

Development of Probabilistic Dam Breach Model Using Bayesian Inference

artículo científico publicado en 2018

Development of Probabilistic Dam Breach Model Using Bayesian Inference

artículo científico publicado en 2018

EXTENDING CLASSICAL SURROGATE MODELING TO HIGH DIMENSIONS THROUGH SUPERVISED DIMENSIONALITY REDUCTION: A DATA-DRIVEN APPROACH

artículo científico publicado en 2020

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

artículo científico publicado en 2024

Euclid preparation: II. The EuclidEmulator – a tool to compute the cosmology dependence of the nonlinear matter power spectrum

scholarly article published 18 January 2019 in Monthly Notices of the Royal Astronomical Society

GLOBAL SENSITIVITY ANALYSIS USING DERIVATIVE-BASED SPARSE POINCARÉ CHAOS EXPANSIONS

artículo científico publicado en 2023

Global sensitivity analysis of 3D printed material with binder jet technology by using surrogate modeling and polynomial chaos expansion

artículo científico publicado en 2023

Metamodel-Based Sensitivity Analysis: Polynomial Chaos Expansions and Gaussian Processes

artículo científico publicado en 2017

Metamodeling for Uncertainty Quantification of a Flood Wave Model for Concrete Dam Breaks

artículo científico publicado en 2020

Rare event estimation using stochastic spectral embedding

artículo científico publicado en 2022

STOCHASTIC SPECTRAL EMBEDDING

artículo científico publicado en 2021

Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark

artículo científico publicado en 2021

Sparse polynomial chaos expansions of frequency response functions using stochastic frequency transformation

artículo científico publicado en 2017

Surrogate models for uncertainty quantification: An overview

artículo científico publicado en 2017

Uncertainty quantification and global sensitivity analysis for economic models

artículo científico publicado en 2019

Lista de obras de

A Global Sensitivity Analysis Framework for Hybrid Simulation with Stochastic Substructures

A general framework for data-driven uncertainty quantification under complex input dependencies using vine copulas

A global sensitivity analysis framework for hybrid simulation

A spectral surrogate model for stochastic simulators computed from trajectory samples

AK-PDEMi: A failure-informed enrichment algorithm for improving the AK-PDEM in reliability analysis

AUTOMATIC SELECTION OF BASIS-ADAPTIVE SPARSE POLYNOMIAL CHAOS EXPANSIONS FOR ENGINEERING APPLICATIONS

Active learning for structural reliability: Survey, general framework and benchmark

An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis

Bayesian model inversion using stochastic spectral embedding

Data-driven polynomial chaos expansion for machine learning regression

Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion

Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion

Development of Probabilistic Dam Breach Model Using Bayesian Inference

Development of Probabilistic Dam Breach Model Using Bayesian Inference

EXTENDING CLASSICAL SURROGATE MODELING TO HIGH DIMENSIONS THROUGH SUPERVISED DIMENSIONALITY REDUCTION: A DATA-DRIVEN APPROACH

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

Euclid preparation: II. The EuclidEmulator – a tool to compute the cosmology dependence of the nonlinear matter power spectrum

GLOBAL SENSITIVITY ANALYSIS USING DERIVATIVE-BASED SPARSE POINCAR&#201; CHAOS EXPANSIONS

Global sensitivity analysis of 3D printed material with binder jet technology by using surrogate modeling and polynomial chaos expansion

Metamodel-Based Sensitivity Analysis: Polynomial Chaos Expansions and Gaussian Processes

Metamodeling for Uncertainty Quantification of a Flood Wave Model for Concrete Dam Breaks

Rare event estimation using stochastic spectral embedding

STOCHASTIC SPECTRAL EMBEDDING

Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark

Sparse polynomial chaos expansions of frequency response functions using stochastic frequency transformation

Surrogate models for uncertainty quantification: An overview

Uncertainty quantification and global sensitivity analysis for economic models

GLOBAL SENSITIVITY ANALYSIS USING DERIVATIVE-BASED SPARSE POINCARÉ CHAOS EXPANSIONS