Author

P. Bekemeyer

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Open access Sep 2026

Enhancing boundary optimality in constrained Bayesian optimization via exterior barrier functions

In Bayesian optimization frameworks, expected performance indicator-based acquisition functions, such as Expected Improvement and Expected Hypervolume Improvement, are among the most widely adopted approaches for both single- and multi-objective problems, and are readily extensible to constrained problems through sur...

S. Lim, P. Bekemeyer · Computational optimization a... · 0 citations

Jul 2026

Spatio-Temporal Prediction of Unsteady Airfoil Aerodynamics Using Augmented Graph Neural Ordinary Differential Equations with Exogenous Controls

This approach, called GNODE, based on Graph Neural Ordinary Differential Equations, provides temporally more stable, spatially smoother, and overall more accurate results than an autoregressive GNN baseline, and demonstrates an approach that is suitable to model non-linear spatio-temporal systems with exogenous inputs.

H. Lange, R. Thormann, P. Bekemeyer · arXiv.org · 0 citations