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From the 1 of 7 linked papers with an AI index.

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7 papers

physics.flu-dyn2026

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…

math.NA2026

Quasi-Monte Carlo methods for uncertainty quantification of tumor growth modeled by a parametric semi-linear parabolic reaction-diffusion equation

Alexander D. Gilbert, Frances Y. Kuo, Dirk Nuyens +3

The paper applies quasi‑Monte Carlo methods to efficiently propagate uncertainty through a semi‑linear parabolic reaction‑diffusion model of tumor growth, demonstrating faster conv…

math.NA2026

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…

cs.LG2026

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…

math.NA2026

Regularity and tailored regularization of Deep Neural Networks, with application to parametric PDEs in uncertainty quantification

Alexander Keller, Frances Y. Kuo, Dirk Nuyens +1

In this paper we consider Deep Neural Networks (DNNs) with a smooth activation function as surrogates for high-dimensional functions that are somewhat smooth but costly to evaluate…

math.NA2025

Quasi-Monte Carlo methods for uncertainty quantification of wave propagation and scattering problems modelled by the Helmholtz equation

Ivan G. Graham, Frances Y. Kuo, Dirk Nuyens +2

We analyse and implement a quasi-Monte Carlo (QMC) finite element method (FEM) for the forward problem of uncertainty quantification (UQ) for the Helmholtz equation with random coe…