no code implementations • 22 May 2022 • Ayano Kaneda, Osman Akar, Jingyu Chen, Victoria Kala, David Hyde, Joseph Teran
We present a novel deep learning approach to approximate the solution of large, sparse, symmetric, positive-definite linear systems of equations.
no code implementations • 7 Dec 2018 • Michael Bao, David Hyde, Xinru Hua, Ronald Fedkiw
It is well known that popular optimization techniques can lead to overfitting or even a lack of convergence altogether; thus, practitioners often utilize ad hoc regularization terms added to the energy functional.
