output
20102026
most citedSMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes

125 citations

31 papers

cs.AI2026

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 +6

The simulation of complex systems increasingly relies on sophisticated but fundamentally opaque computational black-box simulators. Surrogate models play a central role in reducing…

cond-mat.mtrl-sci2026

Atomistic modeling of the hygromechanical properties of amorphous Polyamide 6,6

Karim Gadelrab, Armin Kech, Camilo Cruz

Polyamide 6,6 (PA66) is a key engineering polymer, whose unique mechanical properties arise from strong interchain hydrogen bonding. However, its hygroscopic nature makes it highly…

cs.LG2025★ 2 cited

Global Sensitivity Analysis for Engineering Design Based on Individual Conditional Expectations

Pramudita Satria Palar, Paul Saves, Rommel G. Regis +4

Explainable machine learning techniques have gained increasing attention in engineering applications, especially in aerospace design and analysis, where understanding how input var…

cs.AI2025

System-of-systems Modeling and Optimization: An Integrated Framework for Intermodal Mobility

Paul Saves, Jasper Bussemaker, Rémi Lafage +4

For developing innovative systems architectures, modeling and optimization techniques have been central to frame the architecting process and define the optimization and modeling p…

cs.HC2025

Enhancing performance in bolt torque tightening using a connected torque wrench and augmented reality

Adeline Fau, Mina Ghobrial, Philippe Seitier +4

Modern production rates and the increasing complexity of mechanical systems require efficient and effective manufacturing and assembly processes. The transition to Industry 4.0, su…

cs.LG2025★ 3 cited

Multi-objective Bayesian Optimization With Mixed-categorical Design Variables for Expensive-to-evaluate Aeronautical Applications

Nathalie Bartoli, Thierry Lefebvre, Rémi Lafage +8

This work aims at developing new methodologies to optimize computational costly complex systems (e.g., aeronautical engineering systems). The proposed surrogate-based method (often…