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

Active truncation of slender marine structures: Influence of the control system on fidelity

artículo científico publicado en 2018

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

Bayesian tomography using polynomial chaos expansion and deep generative networks

artículo científico publicado en 2024

Bayesian tomography with prior-knowledge-based parametrization and surrogate modelling

artículo científico publicado en 2022

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

Engineering analysis with probability boxes: A review on computational methods

artículo científico publicado en 2021

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

Euclid preparation: IX. EuclidEmulator2 – power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations

artículo científico publicado en 2021

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

Global sensitivity analysis of sand-based binder jet 3D printed material

artículo científico publicado en 2022

Machine learning applied to simulations of collisions between rotating, differentiated planets

artículo científico publicado en 2020

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

Probabilistic robust design of control systems for high-fidelity cyber–physical testing

artículo científico publicado en 2019

Rare event estimation using stochastic spectral embedding

artículo científico publicado en 2022

Reduced order surrogate modeling technique for linear dynamic systems

artículo científico publicado en 2018

STOCHASTIC SPECTRAL EMBEDDING

artículo científico publicado en 2021

Seismic fragility analysis based on artificial ground motions and surrogate modeling of validated structural simulators

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

Trade-Offs between Geographic Scale, Cost, and Infrastructure Requirements for Fully Renewable Electricity in Europe

scientific article published on 16 September 2020

Training of a Classifier for Structural Component Failure Based on Hybrid Simulation and Kriging

artículo científico publicado en 2022

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

Active truncation of slender marine structures: Influence of the control system on fidelity

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

Bayesian model inversion using stochastic spectral embedding

Bayesian tomography using polynomial chaos expansion and deep generative networks

Bayesian tomography with prior-knowledge-based parametrization and surrogate modelling

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)

Engineering analysis with probability boxes: A review on computational methods

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

Euclid preparation: IX. EuclidEmulator2 – power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations

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

Global sensitivity analysis of sand-based binder jet 3D printed material

Machine learning applied to simulations of collisions between rotating, differentiated planets

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

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

Probabilistic robust design of control systems for high-fidelity cyber–physical testing

Rare event estimation using stochastic spectral embedding

Reduced order surrogate modeling technique for linear dynamic systems

STOCHASTIC SPECTRAL EMBEDDING

Seismic fragility analysis based on artificial ground motions and surrogate modeling of validated structural simulators

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

Trade-Offs between Geographic Scale, Cost, and Infrastructure Requirements for Fully Renewable Electricity in Europe

Training of a Classifier for Structural Component Failure Based on Hybrid Simulation and Kriging

Uncertainty quantification and global sensitivity analysis for economic models

GLOBAL SENSITIVITY ANALYSIS USING DERIVATIVE-BASED SPARSE POINCARÉ CHAOS EXPANSIONS