25 citations · 48 across the 4 of their papers we have counts for
4 papers
Error-Correcting Neural Networks for Two-Dimensional Curvature Computation in the Level-Set Method
Luis Ángel Larios-Cárdenas, Frédéric Gibou
We present an error-neural-modeling-based strategy for approximating two-dimensional curvature in the level-set method. Our main contribution is a redesigned hybrid solver [Larios-…
Error-correcting neural networks for semi-Lagrangian advection in the level-set method
Luis Ángel Larios-Cárdenas, Frédéric Gibou
We present a machine learning framework that blends image super-resolution technologies with passive, scalar transport in the level-set method. Here, we investigate whether we can…
A hybrid inference system for improved curvature estimation in the level-set method using machine learning
Luis Ángel Larios-Cárdenas, Frédéric Gibou
We present a novel hybrid strategy based on machine learning to improve curvature estimation in the level-set method. The proposed inference system couples enhanced neural networks…
A deep learning approach for the computation of curvature in the level-set method
Luis Ángel Larios-Cárdenas, Frederic Gibou
We propose a deep learning strategy to estimate the mean curvature of two-dimensional implicit interfaces in the level-set method. Our approach is based on fitting feed-forward neu…