David Ginsbourger
About
David Ginsbourger has authored 51 papers that have received a total of 1.7k indexed citations.
This includes 29 papers in Computational Theory and Mathematics, 22 papers in Artificial Intelligence and 19 papers in Statistics, Probability and Uncertainty. The topics of these papers are Advanced Multi-Objective Optimization Algorithms (28 papers), Probabilistic and Robust Engineering Design (19 papers) and Gaussian Processes and Bayesian Inference (16 papers). David Ginsbourger is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (28 papers), Probabilistic and Robust Engineering Design (19 papers) and Gaussian Processes and Bayesian Inference (16 papers) and collaborates with scholars based in Switzerland, France and United States. David Ginsbourger's co-authors include Victor Picheny, Olivier Roustant, Clément Chevalier, Julien Bect and Nicolas Durrande and has published in prestigious journals such as Technometrics, Scientific Reports and Water Resources Research.
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