1 code implementation • 25 Nov 2022 • Tue Boesen, Eldad Haber, Uri Michael Ascher
This article investigates the effect of explicitly adding auxiliary algebraic trajectory information to neural networks for dynamical systems.
2 code implementations • 18 Oct 2021 • Tue Boesen, Eldad Haber
The first is based on a Bayesian interpretation of the semi-supervised learning problem with the graph Laplacian that is used for the prior distribution and the second is based on a frequentist approach, that updates the estimation of the bias term based on the recovery of the labels.
no code implementations • 7 Feb 2021 • Moshe Eliasof, Tue Boesen, Eldad Haber, Chen Keasar, Eran Treister
Recent advancements in machine learning techniques for protein folding motivate better results in its inverse problem -- protein design.