Marcos A. Valdebenito

According to our database, Marcos A. Valdebenito authored at least 24 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Active Bayesian support vector regression with importance sampling for rare event reliability analysis.

Weiming Zheng, Xiukai Yuan, Xiya Bao, Marcos A. Valdebenito, Matthias G. R. Faes

Reliab. Eng. Syst. Saf., 2026

Sensitivity estimation of stochastic output with respect to distribution parameters of stochastic inputs.

Xuan-Yi Zhang, Yan-Gang Zhao, Marcos A. Valdebenito, Matthias G. R. Faes

Reliab. Eng. Syst. Saf., 2026

Active learning Kriging with functional dimension reduction for reliability analysis of stochastic dynamical systems.

Zhouzhou Song, Chao Dang, Marcos A. Valdebenito, Matthias G. R. Faes

Reliab. Eng. Syst. Saf., 2026

Variance-reduced estimation of Third-order statistics using control variates with splitting.

Cristóbal H. Acevedo, Marcos A. Valdebenito, Iván V. González, Hector A. Jensen, Matthias G. R. Faes

Reliab. Eng. Syst. Saf., 2026

2025

On the impact of geometric variance on the performance of formed parts: A probabilistic approach on the example of airbag pressure bins.

Lukas Schnelle, Niklas Fehlemann, Ali O. M. Kilicsoy, Niklas Bechler, Marcos A. Valdebenito, Yannis P. Korkolis, Matthias G. R. Faes, Sebastian Münstermann, Kai-Uwe Schröder

CoRR, December, 2025

Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space.

Zhouzhou Song, Weiyun Xu, Marcos A. Valdebenito, Matthias G. R. Faes

CoRR, March, 2025

A Bayesian piecewise fitting method for estimating probability distributions of performance functions.

Yan-Gang Zhao, Ya-Ting Liu, Pei-Pei Li, Ye-Yao Weng, Marcos A. Valdebenito, Matthias G. R. Faes

Reliab. Eng. Syst. Saf., 2025

On fractional moment estimation from polynomial chaos expansion.

Lukás Novák, Marcos A. Valdebenito, Matthias G. R. Faes

Reliab. Eng. Syst. Saf., 2025

Vascular segmentation of functional ultrasound images using deep learning.

Hana Sebia, Thomas Guyet, Mickaël Pereira, Marcos A. Valdebenito, Hugues Berry, Benjamin Vidal

Comput. Biol. Medicine, 2025

2024

Line sampling for time-variant failure probability estimation using an adaptive combination approach.

Xiukai Yuan, Weiming Zheng, Chaofan Zhao, Marcos A. Valdebenito, Matthias G. R. Faes, Yiwei Dong

Reliab. Eng. Syst. Saf., March, 2024

Constrained Bayesian optimization algorithms for estimating design points in structural reliability analysis.

Jingwen Song, Yifan Cui, Pengfei Wei, Marcos A. Valdebenito, Weihong Zhang

Reliab. Eng. Syst. Saf., January, 2024

Bayesian active learning line sampling with log-normal process for rare-event probability estimation.

Chao Dang, Marcos A. Valdebenito, Pengfei Wei, Jingwen Song, Michael Beer

Reliab. Eng. Syst. Saf., 2024

Sobolev Neural Network With Residual Weighting as a Surrogate in Linear and Non-Linear Mechanics.

Ali O. M. Kilicsoy, Jan Liedmann, Marcos A. Valdebenito, F.-J. Barthold, Matthias G. R. Faes

IEEE Access, 2024

2023

Global failure probability function estimation based on an adaptive strategy and combination algorithm.

Xiukai Yuan, Yugeng Qian, Jingqiang Chen, Matthias G. R. Faes, Marcos A. Valdebenito, Michael Beer

Reliab. Eng. Syst. Saf., 2023

2022

A general hierarchical ensemble-learning framework for structural reliability analysis.

Changcong Zhou, Hanlin Zhang, Marcos A. Valdebenito, Haodong Zhao

Reliab. Eng. Syst. Saf., 2022

Parallel adaptive Bayesian quadrature for rare event estimation.

Chao Dang, Pengfei Wei, Matthias G. R. Faes, Marcos A. Valdebenito, Michael Beer

Reliab. Eng. Syst. Saf., 2022

Risk-based Design of Regular Plane Frames Subject to Damage by Abnormal Events: a Conceptual Study.

André Teófilo Beck, Lucas da Rosa Ribeiro, Marcos A. Valdebenito, Hector A. Jensen

CoRR, 2022

2021

Efficient imprecise reliability analysis using the Augmented Space Integral.

Xiukai Yuan, Matthias G. R. Faes, Shaolong Liu, Marcos A. Valdebenito, Michael Beer

Reliab. Eng. Syst. Saf., 2021

Failure probability estimation of a class of series systems by multidomain Line Sampling.

Marcos A. Valdebenito, Pengfei Wei, Jingwen Song, Michael Beer, Matteo Broggi

Reliab. Eng. Syst. Saf., 2021

Decoupled reliability-based optimization using Markov chain Monte Carlo in augmented space.

Xiukai Yuan, Shaolong Liu, Marcos A. Valdebenito, Matthias G. R. Faes, Danko J. Jerez, Hector A. Jensen, Michael Beer

Adv. Eng. Softw., 2021

Augmented reliability analysis for estimating imprecise first excursion probabilities in stochastic linear dynamics.

Matthias G. R. Faes, Marcos A. Valdebenito, Xiukai Yuan, Pengfei Wei, Michael Beer

Adv. Eng. Softw., 2021

2020

An effective parametric model reduction technique for uncertainty propagation analysis in structural dynamics.

Hector A. Jensen, F. Mayorga, Marcos A. Valdebenito, Jianbing Chen

Reliab. Eng. Syst. Saf., 2020

2019

Calculation of second order statistics of uncertain linear systems applying reduced order models.

I. V. González, Marcos A. Valdebenito, J. I. Correa, Hector A. Jensen

Reliab. Eng. Syst. Saf., 2019

2018

Sensitivity estimation of failure probability applying line sampling.

Marcos A. Valdebenito, Hector A. Jensen, H. B. Hernández, Loujaine Mehrez

Reliab. Eng. Syst. Saf., 2018