Search Results for author: Keegan Kirk

Found 1 papers, 1 papers with code

Solutions to Elliptic and Parabolic Problems via Finite Difference Based Unsupervised Small Linear Convolutional Neural Networks

1 code implementation1 Nov 2023 Adrian Celaya, Keegan Kirk, David Fuentes, Beatrice Riviere

In recent years, there has been a growing interest in leveraging deep learning and neural networks to address scientific problems, particularly in solving partial differential equations (PDEs).

Cannot find the paper you are looking for? You can Submit a new open access paper.