86 citations · 301 across the 37 of their papers we have counts for
3 papers · 1 filter
A machine-learned probability distribution in the phase space of turbulent channel flow for synthetic turbulence and flow reconstruction
Frederik Aerts, Dirk Nuyens, Johan Meyers
Although a complete characterisation of the probability distribution in the phase space of turbulent flows remains elusive, accurately sampling this distribution is essential for b…
Fourier Neural Operators with rank-1 lattice points and hyperbolic cross
Jakob Dilen, Alexander Keller, Frances Y. Kuo +1
The \emph{Fourier neural operator} (FNO) is a neural network architecture that learns mappings between function spaces. Its efficient implementation is based on the multi-dimension…
Lattice-based Deep Neural Networks: Regularity and Tailored Regularization
Alexander Keller, Frances Y. Kuo, Dirk Nuyens +1
This survey article is concerned with the application of lattice rules to Deep Neural Networks (DNNs), lattice rules being a family of quasi-Monte Carlo methods. They have demonstr…