10 citations · 10 across the 1 of their papers we have counts for
3 papers
cs.LG2022★ 10 cited
Physics-Informed Neural Networks for Quantum Eigenvalue Problems
Henry Jin, Marios Mattheakis, Pavlos Protopapas
Eigenvalue problems are critical to several fields of science and engineering. We expand on the method of using unsupervised neural networks for discovering eigenfunctions and eige…
physics.comp-ph2020
Unsupervised Neural Networks for Quantum Eigenvalue Problems
Henry Jin, Marios Mattheakis, Pavlos Protopapas
Eigenvalue problems are critical to several fields of science and engineering. We present a novel unsupervised neural network for discovering eigenfunctions and eigenvalues for dif…
cs.CV2020
NBDT: Neural-Backed Decision Trees
Alvin Wan, Lisa Dunlap, Daniel Ho +6
Machine learning applications such as finance and medicine demand accurate and justifiable predictions, barring most deep learning methods from use. In response, previous work comb…