Paul Saves

67 %
Libre accès
42
Documents
Affiliation actuelle
  • Institut de recherche en informatique de Toulouse (IRIT)
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Publications

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Modeling Hierarchical Spaces: A Review and Unified Framework for Surrogate-Based Architecture Design

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

Structural and Multidisciplinary Optimization, 2026, ⟨10.1007/s00158-026-04249-2⟩

Article dans une revue hal-05134630v2

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, pp.131208. ⟨10.1016/j.neucom.2025.131208⟩

Article dans une revue hal-05014820v1
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High-dimensional Bayesian optimization using both random and supervised embeddings

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

AIAA Journal, 2024, 63 (1), pp.162-173. ⟨10.2514/1.J063488⟩

Article dans une revue hal-04793266v1
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System Architecture Optimization Strategies: Dealing with Expensive Hierarchical Problems

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

Journal of Global Optimization, 2024, ⟨10.1007/s10898-024-01443-8⟩

Article dans une revue hal-04462829v1
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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 Bussemaker et al.

Advances in Engineering Software, 2024, 188 (103571), pp.103571. ⟨10.1016/j.advengsoft.2023.103571⟩

Article dans une revue hal-04331916v1
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A mixed-categorical correlation kernel for Gaussian process

Paul Saves , Y. Diouane , Nathalie Bartoli , T. Lefebvre , J. Morlier

Neurocomputing, 2024, ⟨10.1016/j.neucom.2023.126472⟩

Article dans une revue hal-04130877v2
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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

Structural and Multidisciplinary Optimization, 2024, 67 (5), pp.81. ⟨10.1007/s00158-024-03785-z⟩

Article dans une revue hal-04574274v1

SMT: the Surrogate Modeling Toolbox : Explainability with mixed variables applied to multi-agent system

Paul Saves

ANR MIMICO 1st Workshop, IRIT, Mar 2025, Toulouse, France

Communication dans un congrès hal-05024208v1

Sustainable Eco-Design of Hybrid-Electric Aircraft via Bayesian Optimization with Mixed Hierarchical Variables

Paul Saves , Eric Nguyen Van , Nathalie Bartoli , Thierry Lefèbvre , Youssef Diouane et al.

Towards Sustainable Aviation Summit, Airbus, Jan 2025, Toulouse, France

Communication dans un congrès hal-05024204v1

Prix de thèse de la Fondation ISAE-SUPAERO

Paul Saves

Docteur, raconte-moi ta thèse en 3 minutes !, Fondation ISAE-SUPAERO, Jan 2025, Toulouse, France

Communication dans un congrès hal-05433538v1
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Modèles de Substitution pour les Modèles Basés Agents : Enjeux, Méthodes et Applications

Paul Saves , Nicolas Verstaevel , Benoit Gaudou

Les 33èmes Journées Francophones sur les Systèmes Multi-Agents (JFSMA 2025), Jun 2025, Dijon, France

Communication dans un congrès hal-05035806v1
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Adaptive Agents in Spatial Double-Auction Markets: Modeling the Emergence of Industrial Symbiosis

Matthieu Mastio , Paul Saves , Gaudou Benoit , Nicolas Verstaevel

International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026), The International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), May 2026, Paphos, Cyprus

Communication dans un congrès hal-05426172v2
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SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration

Mohammad Daffa Robani , Paul Saves , Lavi Rizki Zuhal , Pramudita Satria Palar , Joseph Morlier

AIAA SciTech 2025, AIAA, Jan 2025, Orlando, FL, United States. ⟨10.2514/6.2025-0777⟩

Communication dans un congrès hal-04816698v2

Remise de prix science ouverte de la thèse, édition 2025

Paul Saves

Assises nationales des données de la recherche (ANDOR 2025), Ministère de l’Enseignement supérieur, de la Recherche et de l’Espace (MESRE), Dec 2025, Saclay ENS, France

Communication dans un congrès hal-05433479v1
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Frequency-aware Surrogate Modeling With SMT Kernels For Advanced Data Forecasting

Nicolas Gonel , Paul Saves , Joseph Morlier

AeroBest 2025, Instituto Superior Técnico of the University of Lisbon, Apr 2025, Lisbonne, Portugal

Communication dans un congrès hal-05014823v1
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Surrogate-Based Optimization of System Architectures Subject to Hidden Constraints

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

AIAA Aviation Forum and ASCEND co-located Conference Proceedings, Jul 2024, Las Vegas, United States. ⟨10.2514/6.2024-4401⟩

Communication dans un congrès hal-04462408v2

Surrogate-Based Modeling and Optimization of Expensive System Architectures Problems using ONERA and DLR Softwares: An Integrated Framework

Paul Saves , Jasper Bussemaker , Rémi Lafage , Nathalie Bartoli , Youssef Diouane et al.

4th workshop for Advances in Artificial Intelligence for Aerospace Engineering, DLR, the German Aerospace Center, Jun 2024, Braunscheiwg, Germany

Communication dans un congrès hal-05024184v1
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System-of-systems Modeling and Optimization: An Integrated Framework for Intermodal Mobility

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

ODAS 2024: 24th joint ONERA-DLR Aerospace Symposium, DLR, Jun 2024, Brunschweig, Germany

Communication dans un congrès hal-04590323v1

Bayesian optimization to solve black box problems with hidden constraints

Nathalie Bartoli , Thierry Lefèbvre , Rémi Lafage , Paul Saves , Youssef Diouane et al.

Workshop ANR SAMURAI, Institut Henri Poincaré, Dec 2024, Paris, France

Communication dans un congrès hal-05024340v1

A graph-structured distance for mixed-variable domains with meta variables

Edward Hallé-Hannan , Paul Saves , Charles Audet , Eric Nguyen Van , Jasper Bussemaker et al.

AISSAI Heterogeneous Data and Large Representation Models in Science, Laboratoire des 2 infinis de Toulouse, Sep 2024, Toulouse, France

Communication dans un congrès hal-05024197v1

Gaussian process for Bayesian optimization with mixed hierarchical variables: Application to electric-hybrid aircraft eco-design

Paul Saves , Eric Nguyen Van , Nathalie Bartoli , Thierry Lefèbvre , Youssel Diouane et al.

Workshop on Bayesian optimization & related topics, Jun 2024, Paris, France

Communication dans un congrès hal-04845948v1
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High-dimensional efficient global optimization using both random and supervised embeddings

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

AIAA AVIATION 2023 Forum, American Institute of Aeronautics and Astronautics, Jun 2023, San Diego, United States. pp.10.2514/6.2023-4448, ⟨10.2514/6.2023-4448⟩

Communication dans un congrès hal-04123951v1

Multidisciplinary design optimization with mixed categorical variables for aircraft design

Paul Saves , Nathalie Bartoli , Youssef Diouane , Thierry Lefèbvre , Joseph Morlier et al.

AIAA SciTech 2023, American Institute of Aeronautics and Aerospace, Jan 2023, National Harbor (Maryland), United States

Communication dans un congrès hal-05022969v1
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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 et al.

AEROBEST 2023, ECCOMAS, Jul 2023, Lisbonne, Portugal. pp.436

Communication dans un congrès hal-04170287v1

A new mixed-categorical correlation kernel for Gaussian process

Paul Saves

MASCOT-NUM 2023, GdR RT-UQ, Apr 2023, Le Croisic (Loire Atlantique), France

Communication dans un congrès hal-05022945v1
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Regularized Infill Criteria for Multi-objective Bayesian Optimization with Application to Aircraft Design

Robin Grapin , Youssef Diouane , Joseph Morlier , Nathalie Bartoli , Thierry Lefebvre et al.

AIAA AVIATION 2022, Jun 2022, Chicago, United States. ⟨10.2514/6.2022-4053⟩

Communication dans un congrès hal-03753674v1
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A general square exponential kernel to handle mixed-categorical variables for Gaussian process

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

AIAA AVIATION 2022 Forum, Jun 2022, Chicago, United States. ⟨10.2514/6.2022-3870⟩

Communication dans un congrès hal-03700850v1

Towards a unified Gaussian process kernel-based correlation matrix representation for mixed-categorical variables

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

Journées de l'optimisation, HEC Montréal, May 2022, Montréal (Québec), Canada

Communication dans un congrès hal-05022901v1
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Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design

Paul Saves , Eric Nguyen Van , Nathalie Bartoli , Thierry Lefebvre , Christophe David et al.

AIAA SciTech 2022, Jan 2022, San Diego, United States. ⟨10.2514/6.2022-0082⟩

Communication dans un congrès hal-03514915v1
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Constrained bayesian optimization over mixed categorical variables, with application to aircraft design

Paul Saves , Nathalie Bartoli , Youssef Diouane , Thierry Lefebvre , Joseph Morlier et al.

AeroBest 2021, Jul 2021, Lisbonne, Portugal

Communication dans un congrès hal-03346341v1

Présentation de la Toolbox SMT - L'I.A. pour les modèles de substitution

Paul Saves

SurDay @ ISAE-SUPAERO, ISAE-Supaero, Jul 2021, Toulouse, France

Communication dans un congrès hal-05022608v1

Enhanced Kriging models within a Bayesian optimization framework to handle both continuous and categorical inputs

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

SIAM CSE21, Mar 2021, Fort Worth, United States

Communication dans un congrès hal-03402296v1
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Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity

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

2026

Pré-publication, Document de travail (preprint/prepublication) hal-05485124v1
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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 et al.

2025

Pré-publication, Document de travail hal-05371637v1
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Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction

James Mingzhi Shihua , Paul Saves , Rhea P Liem , Joseph Morlier

2025

Pré-publication, Document de travail hal-05004649v1
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Surrogate Modeling and Explainable Artificial Intelligence for Complex Systems: A Workflow for Automated Simulation Exploration

Paul Saves , Pramudita Satria Palar , Muhammad Robani , Nicolas Verstaevel , Moncef Garouani et al.

2025

Pré-publication, Document de travail hal-05321914v1
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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 et al.

2025

Pré-publication, Document de travail hal-05413969v1
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A graph-structured distance for heterogeneous datasets with meta variables

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

2025

Pré-publication, Document de travail hal-04667767v2