All Stories

  1. Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making

    Article • Archives of Computational Methods in Engineering, May 2026, Springer Science + Business Media

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  2. Global Sensitivity Analysis for Engineering Design Based on Individual Conditional Expectations

    Article • Aerospace Science and Technology, March 2026, Elsevier

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  3. Modeling hierarchical spaces: a review and unified framework for surrogate-based architecture design

    Article • Structural and Multidisciplinary Optimization, February 2026, Springer Science + Business Media

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

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

    Article • January 2026, Springer Science + Business Media

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

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

    Article • Neurocomputing, November 2025, Elsevier

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  6. SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration

    Article • January 2025, American Institute of Aeronautics and Astronautics (AIAA)

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES, Lavi Zuhal

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

    Article • AIAA Journal, December 2024, American Institute of Aeronautics and Astronautics (AIAA)

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  8. System architecture optimization strategies: dealing with expensive hierarchical problems

    Article • Journal of Global Optimization, November 2024, Springer Science + Business Media

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  9. Explainability and Interpretability of an Ensemble Multi-agent System for Supervised Learning

    Article • November 2024, Springer Science + Business Media

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  10. Surrogate-Based Optimization of System Architectures Subject to Hidden Constraints

    Article • July 2024, American Institute of Aeronautics and Astronautics (AIAA)

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

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

    Article • Structural and Multidisciplinary Optimization, May 2024, Springer Science + Business Media

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  12. High-dimensional multidisciplinary design optimization for aircraft eco-design

    Article • February 2024, Center for Open Science

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  13. SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes

    Article • Advances in Engineering Software, February 2024, Elsevier

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  14. A Graph-Structured Distance for Mixed-Variable Domains with Meta Variables

    Article • January 2024, Elsevier

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  15. A mixed-categorical correlation kernel for Gaussian process

    Article • Neurocomputing, September 2023, Elsevier

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  16. High-dimensional efficient global optimization using both random and supervised embeddings

    Article • June 2023, American Institute of Aeronautics and Astronautics (AIAA)

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  17. Infill criterion for constrained, multi-objective black-box functions with Bayesian optimization

    Article • June 2022, American Institute of Aeronautics and Astronautics (AIAA)

    Robin Grapin, Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  18. A general square exponential kernel to handle mixed-categorical variables for Gaussian process

    Article • June 2022, American Institute of Aeronautics and Astronautics (AIAA)

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  19. Multidisciplinary design optimization with mixed categorical variables for aircraft design

    Article • January 2022, American Institute of Aeronautics and Astronautics (AIAA)

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  20. Correction: Multidisciplinary design optimization with mixed categorical variables for aircraft design

    Article • January 2022, American Institute of Aeronautics and Astronautics (AIAA)

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  21. A Mixed-Categorical Correlation Kernel for Gaussian Process

    Article • January 2022, Elsevier

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES

  22. High dimensional multidisciplinary design optimization for eco-design aircraft

    Article • Agence Bibliographique de l'Enseignement Supérieur

    Eng.-Dr., PhD, MEng,MSc Paul Maxime Valentin SAVES