Segmentation of the Homogeneity of a Signal Using a Piecewise Linear Recognition Tool - Joseph Morlier (CoRR, 2005)

Uncertainties Quantification for Subspace Identification of Rotating Systems. - Ahmed Jhinaoui; Laurent Mevel; Joseph Morlier (PSYCO, 2013)

Sparse Physics-based Gaussian Process for Multi-output Regression using Variational Inference. - Ankit Chiplunkar; Emmanuel Rachelson; Michele Colombo; Joseph Morlier (ICPRAM, 2016)

Approximate Inference in Related Multi-output Gaussian Process Regression. - Ankit Chiplunkar; Emmanuel Rachelson; Michele Colombo; Joseph Morlier (ICPRAM (Revised Selected Papers), 2016)

A Python surrogate modeling framework with derivatives. - Mohamed Amine Bouhlel; John T. Hwang; Nathalie Bartoli; Rémi Lafage; Joseph Morlier; Joaquim R. R. A. Martins (Adv. Eng. Softw., 2019)

Explicit topology optimization through moving node approach: beam elements recognition. - Ghislain Raze; Joseph Morlier (CoRR, 2021)

On some applications of Generalized Geometric Projection to optimal 3D printing. - Krishnaraj Vilasraj Bhat; Gabriele Capasso; Simone Coniglio; Joseph Morlier; Christian Gogu (Comput. Graph., 2022)

An outer approximation bi-level framework for mixed categorical structural optimization problems. - Pierre-Jean Barjhoux; Youssef Diouane; Stéphane Grihon; Joseph Morlier (CoRR, 2022)

High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft. - Paul Saves; Youssef Diouane; Nathalie Bartoli; Thierry Lefebvre; Joseph Morlier (CoRR, 2023)

A mixed-categorical correlation kernel for Gaussian process. - Paul Saves; Youssef Diouane; Nathalie Bartoli; Thierry Lefebvre; Joseph Morlier (Neurocomputing, 2023)

Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations. - Giovanni Catalani; Siddhant Agarwal; Xavier Bertrand; Frederic Tost; Michael Bauerheim; Joseph Morlier (CoRR, 2024)

SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes. - Paul Saves; Rémi Lafage; Nathalie Bartoli; Youssef Diouane; Jasper H. Bussemaker; Thierry Lefebvre; John T. Hwang; Joseph Morlier; Joaquim R. R. A. Martins (Adv. Eng. Softw., 2024)

Automatic selection of inducing points in sparse Gaussian process for approximations of finite element analyses. - Heine Havneraas Røstum; Sebastien Gros; Ketil Aas-Jakobsen; Joseph Morlier (Eng. Appl. Artif. Intell., 2025)

A linearly-implicit energy preserving scheme for geometrically nonlinear mechanics based on non-canonical Hamiltonian formulations. - Andrea Brugnoli; Denis Matignon; Joseph Morlier (CoRR, 2025)

Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction. - James M. Shihua; Paul Saves; Rhea Patricia Liem; Joseph Morlier (CoRR, 2025)

SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration. - Muhammad Daffa Robani; Paul Saves; Pramudita Satria Palar; Lavi Rizki Zuhal; Joseph Morlier (CoRR, 2025)

Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design. - Robin Grapin; Youssef Diouane; Joseph Morlier; Nathalie Bartoli; Thierry Lefebvre; Paul Saves; Jasper H. Bussemaker (CoRR, 2025)

Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design. - Paul Saves; Nathalie Bartoli; Youssef Diouane; Thierry Lefebvre; Joseph Morlier; Christophe David; Eric Nguyen Van; Sébastien Defoort (CoRR, 2025)

Multi-objective Bayesian Optimization With Mixed-categorical Design Variables for Expensive-to-evaluate Aeronautical Applications. - Nathalie Bartoli; Thierry Lefebvre; Rémi Lafage; Paul Saves; Youssef Diouane; Joseph Morlier; Jasper H. Bussemaker; Giuseppa Donelli; Joao Marcos Gomes de Mello; Massimo Mandorino; Pierluigi Della Vecchia (CoRR, 2025)

Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations. - Giovanni Catalani; Michael Bauerheim; Frederic Tost; Xavier Bertrand; Joseph Morlier (CoRR, 2025)

Towards scalable surrogate models based on Neural Fields for large scale aerodynamic simulations. - Giovanni Catalani; Jean Fesquet; Xavier Bertrand; Frederic Tost; Michael Bauerheim; Joseph Morlier (CoRR, 2025)

NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis. - Mouadh Yagoubi; David Danan; Milad Leyli-Abadi; Jocelyn Ahmed Mazari; Jean-Patrick Brunet; Abbas Kabalan; Fabien Casenave; Yuxin Ma; Giovanni Catalani; Jean Fesquet; Jacob Helwig; Xuan Zhang; et al. (CoRR, 2025)

System-of-systems Modeling and Optimization: An Integrated Framework for Intermodal Mobility. - Paul Saves; Jasper H. Bussemaker; Rémi Lafage; Thierry Lefebvre; Nathalie Bartoli; Youssef Diouane; Joseph Morlier (CoRR, 2025)

Frequency-aware Surrogate Modeling With SMT Kernels For Advanced Data Forecasting. - Nicolas Gonel; Paul Saves; Joseph Morlier (CoRR, 2025)