Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems. - Joseph Homer Saleh; Elizabeth A. Saltmarsh; Francesca M. Favarò; Loïc Brevault (Reliab. Eng. Syst. Saf., 2013)

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 (2015)

Efficient Global Optimization Using Deep Gaussian Processes. - Ali Hebbal; Loïc Brevault; Mathieu Balesdent; Ei-Ghazali Taibi; Nouredine Melab (CEC, 2018)

Preliminary study on launch vehicle design: Applications of multidisciplinary design optimization methodologies. - Loïc Brevault; Mathieu Balesdent; Sébastien Defoort (Concurr. Eng. Res. Appl., 2018)

Efficient Global Optimization using Deep Gaussian Processes. - Ali Hebbal; Loïc Brevault; Mathieu Balesdent; El-Ghazali Talbi; Nouredine Melab (CoRR, 2018)

Bayesian Optimization using Deep Gaussian Processes. - Ali Hebbal; Loïc Brevault; Mathieu Balesdent; El-Ghazali Talbi; Nouredine Melab (CoRR, 2019)

Efficient global optimization of constrained mixed variable problems. - Julien Pelamatti; Loïc Brevault; Mathieu Balesdent; El-Ghazali Talbi; Yannick Guerin (J. Glob. Optim., 2019)

Bayesian optimization of variable-size design space problems. - Julien Pelamatti; Loïc Brevault; Mathieu Balesdent; El-Ghazali Talbi; Yannick Guerin (CoRR, 2020)

Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes. - Ali Hebbal; Loïc Brevault; Mathieu Balesdent; El-Ghazali Talbi; Nouredine Melab (CoRR, 2020)

Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities. - Loïc Brevault; Mathieu Balesdent; Ali Hebbal (CoRR, 2020)

Overview and Comparison of Gaussian Process-Based Surrogate Models for Mixed Continuous and Discrete Variables: Application on Aerospace Design Problems. - Julien Pelamatti; Loïc Brevault; Mathieu Balesdent; El-Ghazali Talbi; Yannick Guerin (High-Performance Simulation-Based Optimization, 2020)

Reliability-oriented sensitivity analysis in presence of data-driven epistemic uncertainty. - Gabriel Sarazin; Jérôme Morio; Agnès Lagnoux; Mathieu Balesdent; Loïc Brevault (Reliab. Eng. Syst. Saf., 2021)

Mixed Variable Gaussian Process-Based Surrogate Modeling Techniques: Application to Aerospace Design. - Julien Pelamatti; Loïc Brevault; Mathieu Balesdent; El-Ghazali Talbi; Yannick Guerin (J. Aerosp. Inf. Syst., 2021)

A survey on multi-fidelity surrogates for simulators with functional outputs: unified framework and benchmark. - Lucas Brunel; Mathieu Balesdent; Loïc Brevault; Rodolphe Le Riche; Bruno Sudret (CoRR, 2024)

Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables. - Loïc Brevault; Mathieu Balesdent (Eng. Appl. Artif. Intell., 2024)