Paul Saves

According to our database, Paul Saves authored at least 24 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• 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

From Model-Based Screening to Data-Driven Surrogates: A Multi-Stage Workflow for Exploring Stochastic Agent-Based Models.

Paul Saves, Matthieu Mastio, Nicolas Verstaevel, Benoît Gaudou

CoRR, April, 2026

Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity.

Jordan Levy, Paul Saves, Moncef Garouani, Nicolas Verstaevel, Benoît Gaudou

Proceedings of the Advances in Intelligent Data Analysis XXIV, 2026

2025

Adaptive Agents in Spatial Double-Auction Markets: Modeling the Emergence of Industrial Symbiosis.

Matthieu Mastio, Paul Saves, Benoît Gaudou, Nicolas Verstaevel

CoRR, December, 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

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

Hierarchical Modeling and Architecture Optimization: Review and Unified Framework.

Paul Saves, Edward Hallé-Hannan, Jasper H. Bussemaker, Youssef Diouane, Nathalie Bartoli

CoRR, June, 2025

System architecture optimization strategies: dealing with expensive hierarchical problems.

Jasper H. Bussemaker, Paul Saves, Nathalie Bartoli, Thierry Lefebvre, Rémi Lafage

J. Glob. Optim., 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

Surrogate-based optimization of system architectures subject to hidden constraints.

Jasper H. Bussemaker, Paul Saves, Nathalie Bartoli, Thierry Lefebvre, Björn Nagel

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

High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings.

Rémy Priem, Youssef Diouane, Nathalie Bartoli, Sylvain Dubreuil, Paul Saves

CoRR, February, 2025

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

Edward Hallé-Hannan, Charles Audet, Youssef Diouane, Sébastien Le Digabel, Paul Saves

Neurocomputing, 2025

Modèles de substitution pour les modèles à base d'agents : enjeux, méthodes et applications.

Paul Saves, Nicolas Verstaevel, Benoît Gaudou

Proceedings of the Confiance et systèmes multi-agents, 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

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

Edward Hallé-Hannan, Charles Audet, Youssef Diouane, Sébastien Le Digabel, Paul Saves

CoRR, 2024

High-dimensional multidisciplinary design optimization for aircraft eco-design / Optimisation multi-disciplinaire en grande dimension pour l'éco-conception avion en avant-projet.

Paul Saves

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