Paul Saves

Orcid: 0000-0001-5889-2302

According to our database1, Paul Saves authored at least 17 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Frequency-aware Surrogate Modeling With SMT Kernels For Advanced Data Forecasting.
CoRR, July, 2025

System-of-systems Modeling and Optimization: An Integrated Framework for Intermodal Mobility.
CoRR, July, 2025

Hierarchical Modeling and Architecture Optimization: Review and Unified Framework.
CoRR, June, 2025

Modèles de Substitution pour les Modèles à base d'Agents : Enjeux, Méthodes et Applications.
CoRR, May, 2025

System architecture optimization strategies: dealing with expensive hierarchical problems.
J. Glob. Optim., April, 2025

Multi-objective Bayesian Optimization With Mixed-categorical Design Variables for Expensive-to-evaluate Aeronautical Applications.
CoRR, April, 2025

Surrogate-based optimization of system architectures subject to hidden constraints.
CoRR, April, 2025

Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design.
CoRR, April, 2025

Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design.
CoRR, April, 2025

SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration.
CoRR, March, 2025

Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction.
CoRR, March, 2025

High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings.
CoRR, February, 2025

A distance for mixed-variable and hierarchical domains with meta variables.
Neurocomputing, 2025

2024
SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes.
Adv. Eng. Softw., February, 2024

A graph-structured distance for heterogeneous datasets with meta variables.
CoRR, 2024

2023
A mixed-categorical correlation kernel for Gaussian process.
Neurocomputing, 2023

High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft.
CoRR, 2023


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