2 papers
cs.LG2026
Kolmogorov Arnold networks (KAN) for aerodynamic prediction: a comparison with MLPs and GNNs
Miguel Jaraiz, Fermin Gutierrez, Pablo Yeste +4
Kolmogorov Arnold networks (KAN) have recently been introduced as a (deep) neural network architecture whose trainable parameters adapt the activation functions, instead of the coe…
cs.LG2026
FluidFlow: a flow-matching generative model for fluid dynamics surrogates on unstructured meshes
David Ramos, Lucas Lacasa, FermÃn Gutiérrez +2
Computational fluid dynamics (CFD) provides high-fidelity simulations of fluid flows but remains computationally expensive for many-query applications. In recent years deep learnin…