Joseph Morlier

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 12

Top Topics

Gaussian Process

Approximate Inference

Top Venues

Adv. Eng. Softw.

ICPRAM (Revised Selected Papers)

Publications

Paul Saves, Rémi Lafage, Nathalie Bartoli, Youssef Diouane, Jasper H. Bussemaker, Thierry Lefebvre, John T. Hwang, Joseph Morlier, Joaquim R. R. A. Martins
SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes. Adv. Eng. Softw. 188 (2024)
Giovanni Catalani, Siddhant Agarwal, Xavier Bertrand, Frederic Tost, Michael Bauerheim, Joseph Morlier
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations. CoRR (2024)
Paul Saves, Rémi Lafage, Nathalie Bartoli, Youssef Diouane, Jasper Bussemaker, Thierry Lefebvre, John T. Hwang, Joseph Morlier, Joaquim R. R. A. Martins
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes. CoRR (2023)
Paul Saves, Youssef Diouane, Nathalie Bartoli, Thierry Lefebvre, Joseph Morlier
A mixed-categorical correlation kernel for Gaussian process. Neurocomputing 550 (2023)
Paul Saves, Youssef Diouane, Nathalie Bartoli, Thierry Lefebvre, Joseph Morlier
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft. CoRR (2023)
Pierre-Jean Barjhoux, Youssef Diouane, Stéphane Grihon, Joseph Morlier
An outer approximation bi-level framework for mixed categorical structural optimization problems. CoRR (2022)
Krishnaraj Vilasraj Bhat, Gabriele Capasso, Simone Coniglio, Joseph Morlier, Christian Gogu
On some applications of Generalized Geometric Projection to optimal 3D printing. Comput. Graph. 102 (2022)
P. Saves, Youssef Diouane, Nathalie Bartoli, T. Lefebvre, Joseph Morlier
A mixed-categorical correlation kernel for Gaussian process. CoRR (2022)
Ghislain Raze, Joseph Morlier
Explicit topology optimization through moving node approach: beam elements recognition. CoRR (2021)
Mohamed Amine Bouhlel, John T. Hwang, Nathalie Bartoli, Rémi Lafage, Joseph Morlier, Joaquim R. R. A. Martins
A Python surrogate modeling framework with derivatives. Adv. Eng. Softw. 135 (2019)
Ankit Chiplunkar, Emmanuel Rachelson, Michele Colombo, Joseph Morlier
Sparse Physics-based Gaussian Process for Multi-output Regression using Variational Inference. ICPRAM (2016)
Ankit Chiplunkar, Emmanuel Rachelson, Michele Colombo, Joseph Morlier
Approximate Inference in Related Multi-output Gaussian Process Regression. ICPRAM (Revised Selected Papers) (2016)
Ahmed Jhinaoui, Laurent Mevel, Joseph Morlier
Uncertainties Quantification for Subspace Identification of Rotating Systems. PSYCO (2013)
Joseph Morlier
Segmentation of the Homogeneity of a Signal Using a Piecewise Linear Recognition Tool CoRR (2005)