no code implementations • 24 Feb 2022 • Henry Jin, Marios Mattheakis, Pavlos Protopapas
We expand on the method of using unsupervised neural networks for discovering eigenfunctions and eigenvalues for differential eigenvalue problems.
no code implementations • 10 Oct 2020 • Henry Jin, Marios Mattheakis, Pavlos Protopapas
Eigenvalue problems are critical to several fields of science and engineering.
2 code implementations • 1 Apr 2020 • Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez
Machine learning applications such as finance and medicine demand accurate and justifiable predictions, barring most deep learning methods from use.
