Marcos A. Valdebenito

26 papers Journal 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Active learning Kriging with functional dimension reduction for reliability analysis of stochastic dynamical systems.
Reliab. Eng. Syst. Saf.
Zhouzhou Song, Chao Dang, Marcos A. Valdebenito, Matthias G. R. Faes
2026 J jnl
Sensitivity estimation of stochastic output with respect to distribution parameters of stochastic inputs.
Reliab. Eng. Syst. Saf.
Xuan-Yi Zhang, Yan-Gang Zhao, Marcos A. Valdebenito, Matthias G. R. Faes
2026 J jnl
Variance-reduced estimation of Third-order statistics using control variates with splitting.
Reliab. Eng. Syst. Saf.
Cristóbal H. Acevedo, Marcos A. Valdebenito, Iván V. González, Hector A. Jensen, Matthias G. R. Faes
2025 J jnl
A Bayesian piecewise fitting method for estimating probability distributions of performance functions.
Reliab. Eng. Syst. Saf.
Yan-Gang Zhao, Ya-Ting Liu, Pei-Pei Li, Ye-Yao Weng, Marcos A. Valdebenito, Matthias G. R. Faes
2025 J jnl
Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space.
CoRR
Zhouzhou Song, Weiyun Xu, Marcos A. Valdebenito, Matthias G. R. Faes
2025 J jnl
On fractional moment estimation from polynomial chaos expansion.
Reliab. Eng. Syst. Saf.
Lukás Novák, Marcos A. Valdebenito, Matthias G. R. Faes
2025 J jnl
On the impact of geometric variance on the performance of formed parts: A probabilistic approach on the example of airbag pressure bins.
CoRR
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
2025 J jnl
Vascular segmentation of functional ultrasound images using deep learning.
Comput. Biol. Medicine
Hana Sebia, Thomas Guyet, Mickaël Pereira, Marcos A. Valdebenito, Hugues Berry, Benjamin Vidal
2024 J jnl
Bayesian active learning line sampling with log-normal process for rare-event probability estimation.
Reliab. Eng. Syst. Saf.
Chao Dang, Marcos A. Valdebenito, Pengfei Wei, Jingwen Song, Michael Beer
2024 J jnl
Constrained Bayesian optimization algorithms for estimating design points in structural reliability analysis.
Reliab. Eng. Syst. Saf.
Jingwen Song, Yifan Cui, Pengfei Wei, Marcos A. Valdebenito, Weihong Zhang
2024 J jnl
Line sampling for time-variant failure probability estimation using an adaptive combination approach.
Reliab. Eng. Syst. Saf.
Xiukai Yuan, Weiming Zheng, Chaofan Zhao, Marcos A. Valdebenito, Matthias G. R. Faes, Yiwei Dong
2024 J jnl
On Fractional Moment Estimation from Polynomial Chaos Expansion.
CoRR
Lukás Novák, Marcos A. Valdebenito, Matthias G. R. Faes
2024 J jnl
Sobolev Neural Network With Residual Weighting as a Surrogate in Linear and Non-Linear Mechanics.
IEEE Access
Ali O. M. Kilicsoy, Jan Liedmann, Marcos A. Valdebenito, F.-J. Barthold, Matthias G. R. Faes
2024 J jnl
Sobolev neural network with residual weighting as a surrogate in linear and non-linear mechanics.
CoRR
Ali O. M. Kilicsoy, Jan Liedmann, Marcos A. Valdebenito, F.-J. Barthold, Matthias G. R. Faes
2024 J jnl
Vascular Segmentation of Functional Ultrasound Images using Deep Learning.
CoRR
Hana Sebia, Thomas Guyet, Mickaël Pereira, Marcos A. Valdebenito, Hugues Berry, Benjamin Vidal
2023 J jnl
Global failure probability function estimation based on an adaptive strategy and combination algorithm.
Reliab. Eng. Syst. Saf.
Xiukai Yuan, Yugeng Qian, Jingqiang Chen, Matthias G. R. Faes, Marcos A. Valdebenito, Michael Beer
2022 J jnl
A general hierarchical ensemble-learning framework for structural reliability analysis.
Reliab. Eng. Syst. Saf.
Changcong Zhou, Hanlin Zhang, Marcos A. Valdebenito, Haodong Zhao
2022 J jnl
Parallel adaptive Bayesian quadrature for rare event estimation.
Reliab. Eng. Syst. Saf.
Chao Dang, Pengfei Wei, Matthias G. R. Faes, Marcos A. Valdebenito, Michael Beer
2022 J jnl
Risk-based Design of Regular Plane Frames Subject to Damage by Abnormal Events: a Conceptual Study.
CoRR
André Teófilo Beck, Lucas da Rosa Ribeiro, Marcos A. Valdebenito, Hector A. Jensen
2021 J jnl
Augmented reliability analysis for estimating imprecise first excursion probabilities in stochastic linear dynamics.
Adv. Eng. Softw.
Matthias G. R. Faes, Marcos A. Valdebenito, Xiukai Yuan, Pengfei Wei, Michael Beer
2021 J jnl
Decoupled reliability-based optimization using Markov chain Monte Carlo in augmented space.
Adv. Eng. Softw.
Xiukai Yuan, Shaolong Liu, Marcos A. Valdebenito, Matthias G. R. Faes, Danko J. Jerez, Hector A. Jensen, Michael Beer
2021 J jnl
Efficient imprecise reliability analysis using the Augmented Space Integral.
Reliab. Eng. Syst. Saf.
Xiukai Yuan, Matthias G. R. Faes, Shaolong Liu, Marcos A. Valdebenito, Michael Beer
2021 J jnl
Failure probability estimation of a class of series systems by multidomain Line Sampling.
Reliab. Eng. Syst. Saf.
Marcos A. Valdebenito, Pengfei Wei, Jingwen Song, Michael Beer, Matteo Broggi
2020 J jnl
An effective parametric model reduction technique for uncertainty propagation analysis in structural dynamics.
Reliab. Eng. Syst. Saf.
Hector A. Jensen, F. Mayorga, Marcos A. Valdebenito, Jianbing Chen
2019 J jnl
Calculation of second order statistics of uncertain linear systems applying reduced order models.
Reliab. Eng. Syst. Saf.
I. V. González, Marcos A. Valdebenito, J. I. Correa, Hector A. Jensen
2018 J jnl
Sensitivity estimation of failure probability applying line sampling.
Reliab. Eng. Syst. Saf.
Marcos A. Valdebenito, Hector A. Jensen, H. B. Hernández, Loujaine Mehrez