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2020 – today
- 2024
[j4]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: 103571 (2024)- [i7]Giovanni Catalani, Siddhant Agarwal, Xavier Bertrand, Frederic Tost, Michael Bauerheim, Joseph Morlier:
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations. CoRR abs/2407.19916 (2024) - 2023
- [j3]Paul Saves, Youssef Diouane, Nathalie Bartoli, Thierry Lefebvre, Joseph Morlier:
A mixed-categorical correlation kernel for Gaussian process. Neurocomputing 550: 126472 (2023) - [i6]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. CoRR abs/2305.13998 (2023) - [i5]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 abs/2311.06130 (2023) - 2022
- [j2]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: 199-212 (2022) - [i4]Pierre-Jean Barjhoux, Youssef Diouane, Stéphane Grihon, Joseph Morlier:
An outer approximation bi-level framework for mixed categorical structural optimization problems. CoRR abs/2207.05314 (2022) - [i3]Paul Saves, Youssef Diouane, Nathalie Bartoli, Thierry Lefebvre, Joseph Morlier:
A mixed-categorical correlation kernel for Gaussian process. CoRR abs/2211.08262 (2022) - 2021
- [i2]Ghislain Raze, Joseph Morlier:
Explicit topology optimization through moving node approach: beam elements recognition. CoRR abs/2103.08347 (2021)
2010 – 2019
- 2019
- [j1]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) - 2016
- [c3]Ankit Chiplunkar, Emmanuel Rachelson, Michele Colombo, Joseph Morlier:
Approximate Inference in Related Multi-output Gaussian Process Regression. ICPRAM (Revised Selected Papers) 2016: 88-103 - [c2]Ankit Chiplunkar, Emmanuel Rachelson, Michele Colombo, Joseph Morlier:
Sparse Physics-based Gaussian Process for Multi-output Regression using Variational Inference. ICPRAM 2016: 437-445 - 2013
- [c1]Ahmed Jhinaoui, Laurent Mevel, Joseph Morlier:
Uncertainties Quantification for Subspace Identification of Rotating Systems. PSYCO 2013: 35-40
2000 – 2009
- 2005
- [i1]Joseph Morlier:
Segmentation of the Homogeneity of a Signal Using a Piecewise Linear Recognition Tool. CoRR abs/cs/0503086 (2005)
Coauthor Index
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