Loïc Brevault

17 papers B 1Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multifidelity Bayesian Sequential Optimization and Reliability Assessment for Aerospace Systems Design.
J. Aerosp. Inf. Syst.
Romain Espoeys, Loïc Brevault, Mathieu Balesdent, Sophie Ricci, Paul Mycek
2024 J jnl
A survey on multi-fidelity surrogates for simulators with functional outputs: unified framework and benchmark.
CoRR
Lucas Brunel, Mathieu Balesdent, Loïc Brevault, Rodolphe Le Riche, Bruno Sudret
2024 J jnl
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables.
Eng. Appl. Artif. Intell.
Loïc Brevault, Mathieu Balesdent
2023 J jnl
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables.
CoRR
Loïc Brevault, Mathieu Balesdent
2021 J jnl
Mixed Variable Gaussian Process-Based Surrogate Modeling Techniques: Application to Aerospace Design.
J. Aerosp. Inf. Syst.
Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin
2021 J jnl
Reliability-oriented sensitivity analysis in presence of data-driven epistemic uncertainty.
Reliab. Eng. Syst. Saf.
Gabriel Sarazin, Jérôme Morio, Agnès Lagnoux, Mathieu Balesdent, Loïc Brevault
2020 J jnl
Bayesian optimization of variable-size design space problems.
CoRR
Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin
2020 J jnl
Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes.
CoRR
Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab
2020 — ch.
Overview and Comparison of Gaussian Process-Based Surrogate Models for Mixed Continuous and Discrete Variables: Application on Aerospace Design Problems.
High-Performance Simulation-Based Optimization
Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin
2020 J jnl
Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities.
CoRR
Loïc Brevault, Mathieu Balesdent, Ali Hebbal
2019 J jnl
Bayesian Optimization using Deep Gaussian Processes.
CoRR
Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab
2019 J jnl
Efficient global optimization of constrained mixed variable problems.
J. Glob. Optim.
Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin
2018 B conf
Efficient Global Optimization Using Deep Gaussian Processes.
CEC
Ali Hebbal, Loïc Brevault, Mathieu Balesdent, Ei-Ghazali Taibi, Nouredine Melab
2018 J jnl
Efficient Global Optimization using Deep Gaussian Processes.
CoRR
Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab
2018 J jnl
Preliminary study on launch vehicle design: Applications of multidisciplinary design optimization methodologies.
Concurr. Eng. Res. Appl.
Loïc Brevault, Mathieu Balesdent, Sébastien Defoort
2015 — —
Contributions to multidisciplinary design optimization under uncertainty, application to launch vehicle design. (Contributions à l'optimisation multidisciplinaire sous incertitudes, application à la conception de lanceurs).
Loïc Brevault
2013 J jnl
Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems.
Reliab. Eng. Syst. Saf.
Joseph Homer Saleh, Elizabeth A. Saltmarsh, Francesca M. Favarò, Loïc Brevault