16 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Multi-fidelity aerodynamic data fusion by autoencoder transfer learning
Javier Nieto-Centenero, Esther Andrés, Rodrigo Castellanos
Accurate aerodynamic prediction often relies on high-fidelity simulations; however, their prohibitive computational costs severely limit their applicability in data-driven modeling…
cs.LG2024★ 16 cited
Towards aerodynamic surrogate modeling based on -variational autoencoders
Víctor Francés-Belda, Alberto Solera-Rico, Javier Nieto-Centenero +3
Surrogate models that combine dimensionality reduction and regression techniques are essential to reduce the need for costly high-fidelity computational fluid dynamics data. New ap…