Joseph Morlier

According to our database, Joseph Morlier authored at least 29 papers between 2005 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making.

Pramudita Satria Palar, Paul Saves, Muhammad Daffa Robani, Nicolas Verstaevel, Moncef Garouani, Julien Aligon, Koji Shimoyama, Joseph Morlier, Benoît Gaudou

CoRR, April, 2026

2025

Data-Driven Global Sensitivity Analysis for Engineering Design Based on Individual Conditional Expectations.

Pramudita Satria Palar, Paul Saves, Rommel G. Regis, Koji Shimoyama, Shigeru Obayashi, Nicolas Verstaevel, Joseph Morlier

CoRR, December, 2025

Surrogate Modeling and Explainable Artificial Intelligence for Complex Systems: A Workflow for Automated Simulation Exploration.

Paul Saves, Pramudita Satria Palar, Muhammad Daffa Robani, Nicolas Verstaevel, Moncef Garouani, Julien Aligon, Benoît Gaudou, Koji Shimoyama, Joseph Morlier

CoRR, October, 2025

Efficient Multi-Objective Constrained Bayesian Optimization of Bridge Girder.

Heine Havneraas Røstum, Joseph Morlier, Sebastien Gros, Ketil Aas-Jakobsen

CoRR, September, 2025

Frequency-aware Surrogate Modeling With SMT Kernels For Advanced Data Forecasting.

Nicolas Gonel, Paul Saves, Joseph Morlier

CoRR, July, 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, July, 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, Haiyang Yu, Xavier Bertrand, Frederic Tost, Michael Bauerheim, Joseph Morlier, Shuiwang Ji

CoRR, June, 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, May, 2025

Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations.

Giovanni Catalani, Michael Bauerheim, Frederic Tost, Xavier Bertrand, Joseph Morlier

CoRR, April, 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, April, 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, April, 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, April, 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, March, 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, March, 2025

A linearly-implicit energy preserving scheme for geometrically nonlinear mechanics based on non-canonical Hamiltonian formulations.

Andrea Brugnoli, Denis Matignon, Joseph Morlier

CoRR, March, 2025

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

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, Haiyang Yu, Xavier Bertrand, Frederic Tost, Michael Bauerheim, Joseph Morlier, Shuiwang Ji

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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., February, 2024

Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations.

Giovanni Catalani, Siddhant Agarwal, Xavier Bertrand, Frederic Tost, Michael Bauerheim, Joseph Morlier

CoRR, 2024

2023

A mixed-categorical correlation kernel for Gaussian process.

Paul Saves, Youssef Diouane, Nathalie Bartoli, Thierry Lefebvre, Joseph Morlier

Neurocomputing, 2023

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

2022

An outer approximation bi-level framework for mixed categorical structural optimization problems.

Pierre-Jean Barjhoux, Youssef Diouane, Stéphane Grihon, Joseph Morlier

CoRR, 2022

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

2021

Explicit topology optimization through moving node approach: beam elements recognition.

Ghislain Raze, Joseph Morlier

CoRR, 2021

2019

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

2016

Approximate Inference in Related Multi-output Gaussian Process Regression.

Ankit Chiplunkar, Emmanuel Rachelson, Michele Colombo, Joseph Morlier

Proceedings of the Pattern Recognition Applications and Methods, 2016

Sparse Physics-based Gaussian Process for Multi-output Regression using Variational Inference.

Ankit Chiplunkar, Emmanuel Rachelson, Michele Colombo, Joseph Morlier

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

2013

Uncertainties Quantification for Subspace Identification of Rotating Systems.

Ahmed Jhinaoui, Laurent Mevel, Joseph Morlier

Proceedings of the 5th IFAC International Workshop on Periodic Control Systems, 2013

2005

Segmentation of the Homogeneity of a Signal Using a Piecewise Linear Recognition Tool

Joseph Morlier

CoRR, 2005