PhD Thesis
* High-Dimensional Bayesian Multi-Objective Optimization (Defended on 28/10/2019)
Journal articles
* KUSCHK Georg, D’ANGELO Pablo, GAUDRIE David, REINARTZ Peter, CREMERS Daniel, Spatially Regularized Fusion of Multiresolution Digital Surface Models. IEEE Transactions on Geoscience and Remote Sensing, 2017, vol. 55, no 3, p. 1477-1488.
* GAUDRIE David, LE RICHE Rodolphe, PICHENY Victor, ENAUX Benoit, HERBERT Vincent, Budgeted Multi-Objective Optimization with a Focus on the Central Part of the Pareto Front, arXiv pre-print.
* GAUDRIE David, LE RICHE Rodolphe, PICHENY Victor, ENAUX Benoit, HERBERT Vincent, Targeting Solutions in Bayesian Multi-Objective Optimization: Sequential and Batch Versions, Annals of Mathematics and Artificial Intelligence, Springer, DOI 10.1007/s10472-019-09644-8, 2019.
* GAUDRIE David, LE RICHE Rodolphe, PICHENY Victor, ENAUX Benoit, HERBERT Vincent, Modeling and optimization with Gaussian processes in reduced eigenbases, Structural and Multidisciplinary Optimization 61, 2343-2361, 2020.
* APPRIOU Tanguy, RULLIÈRE Didier, GAUDRIE David, Combination of optimization-free kriging models for high-dimensional problems. Computational Statistics, 1-23, 2023.
Conference presentations and posters
* PGMO Days, November 2017, Saclay, France: Targeting Well-Balanced Solutions under a Restricted Budget, 1 page abstract.
* Journées de la chaire Oquaido, November 2017, Orléans, France: Poster.
* Journée des doctorants PSA, November 2017, Vélizy-Villacoublay, France: Poster.
* Journées du GdR Mascot-Num, March 2018, Nantes, France: Poster, 2 pages abstract.
* LION12, June 2018, Kalamata, Greece: Targeting Well-Balanced Solutions under a Restricted Budget, Conference Paper, Proceedings of the 12th International Conference on Learning and Intelligent Optimization, Kalamata, Greece, June 11-15 2018.
* Journées du GdR MOA, October 2018, Pau, France: Achievable Goals in Bayesian Multi-Objective Optimization, 1 page abstract.
* Journées de la chaire Oquaido, November 2018, Cadarache, France: Poster.
* DMS/DTIS Seminar, December 2018, Châtillon, France: Restricting ambitions in global multi-objective optimization of costly functions (given by Rodolphe Le Riche)
* Journées du GdR Mascot-Num, March 2019, Rueil-Malmaison, France: Dimension Reduction for the Bayesian Optimization of Shapes (winner of the MASCOT-NUM 2019 PhD award), 2 pages abstract.
* Journées du GdR Mascot-Num, March 2019, Rueil-Malmaison, France: Multi-objective Bayesian optimization with reference point - sequential and parallel versions (given by Rodolphe Le Riche), 1 page abstract.
* WCSMO13, May 2019, Beijing, China: From CAD to Eigenshapes for Surrogate-based Optimization, Conference Paper, Proceedings of the 13th World Congress of Structural and Multidisciplinary Optimization, Beijing, China, May 20-24 2019.
* Journées de la chaire Oquaido, November 2019, Saint-Étienne, France: Budgeted Bayesian Multiobjective Optimization
* PGMO Days, December 2019, Saclay, France: Bayesian Optimization in Reduced Eigenbases, 1 page abstract.
* Journées du consortium CIROQUO, May 2022, Grenoble, France: Introduction to High Dimensional Metamodeling and Optimization
* PGMO Days, November 2023, Saclay, France: An Empirical Case of Gaussian Processes Learning in High Dimension: the Likelihood versus Leave-One-Out Rivalry, 1 page abstract.