All Stories

  1. Global Sensitivity Analysis for Engineering Design Based on Individual Conditional Expectations
  2. Modeling hierarchical spaces: a review and unified framework for surrogate-based architecture design
  3. Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity
  4. A distance for mixed-variable and hierarchical domains with meta variables
  5. SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration
  6. High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings
  7. System architecture optimization strategies: dealing with expensive hierarchical problems
  8. Explainability and Interpretability of an Ensemble Multi-agent System for Supervised Learning
  9. Surrogate-Based Optimization of System Architectures Subject to Hidden Constraints
  10. High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft
  11. High-dimensional multidisciplinary design optimization for aircraft eco-design
  12. SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes
  13. A Graph-Structured Distance for Mixed-Variable Domains with Meta Variables
  14. A mixed-categorical correlation kernel for Gaussian process
  15. High-dimensional efficient global optimization using both random and supervised embeddings
  16. Infill criterion for constrained, multi-objective black-box functions with Bayesian optimization
  17. A general square exponential kernel to handle mixed-categorical variables for Gaussian process
  18. Multidisciplinary design optimization with mixed categorical variables for aircraft design
  19. Correction: Multidisciplinary design optimization with mixed categorical variables for aircraft design
  20. A Mixed-Categorical Correlation Kernel for Gaussian Process
  21. High dimensional multidisciplinary design optimization for eco-design aircraft