1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2025
Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators
Albert Matveev, Sanmitra Ghosh, Aamal Hussain +2
Operator learning is a powerful paradigm for solving partial differential equations, with Fourier Neural Operators serving as a widely adopted foundation. However, FNOs face signif…
math-ph2024★ 1 cited
Variational closures for composite homogenised fluid flows
Theo Diamantakis, Ruiao Hu, James-Michael Leahy
Homogenisation theory has seen recent applications in deriving stochastic transport models for fluid dynamics. In this work, we first derive the stochastic Lagrange-to-Euler map th…