Optimisation of interacting particle systems for rare event estimation. - Jérôme Morio; Damien Jacquemart-Tomi; Mathieu Balesdent; Julien Marzat (Comput. Stat. Data Anal., 2013)

A survey of rare event simulation methods for static input-output models. - Jérôme Morio; Mathieu Balesdent; Damien Jacquemart; Christelle Vergé (Simul. Model. Pract. Theory, 2014)

A Multi-level Optimization Approach for the Planning of Heterogeneous Sensor Networks. - Mathieu Balesdent; Hélène Piet-Lahanier (MCO (2), 2015)

Recommendations for the tuning of rare event probability estimators. - Mathieu Balesdent; Jérôme Morio; Julien Marzat (Reliab. Eng. Syst. Saf., 2015)

Analysis of multi-objective Kriging-based methods for constrained global optimization. - Cédric Durantin; Julien Marzat; Mathieu Balesdent (Comput. Optim. Appl., 2016)

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)

Reliability-based sensitivity estimators of rare event probability in the presence of distribution parameter uncertainty. - Vincent Chabridon; Mathieu Balesdent; Jean-Marc Bourinet; Jérôme Morio; Nicolas Gayton (Reliab. Eng. Syst. Saf., 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)

Component Swarm Optimization Using Virtual Forces for Solving Layout Problems. - Juliette Gamot; Romain Wuilbercq; Mathieu Balesdent; Arnault Tremolet; Nouredine Melab; El-Ghazali Talbi (ANTS Conference, 2022)

Two-Level Algorithm Combining Bayesian Optimization and Swarm Intelligence for Variable-Size Optimal Layout Problems. - Juliette Gamot; Mathieu Balesdent; Romain Wuilbercq; Arnault Tremolet; Nouredine Melab; El-Ghazali Talbi (GECCO Companion, 2023)

A Virtual-Force Based Swarm Algorithm for Balanced Circular Bin Packing Problems. - Juliette Gamot; Mathieu Balesdent; Romain Wuilbercq; Arnault Tremolet; Nouredine Melab; El-Ghazali Talbi (CoRR, 2023)

Hidden-variables genetic algorithm for variable-size design space optimal layout problems with application to aerospace vehicles. - Juliette Gamot; Mathieu Balesdent; Arnault Tremolet; Romain Wuilbercq; Nouredine Melab; El-Ghazali Talbi (Eng. Appl. Artif. Intell., 2023)

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)