Bryan Chu

College of Sciences

Works (2)

Updated: June 21st, 2023 21:56

2022 journal article

Model-assisted deep learning of rare extreme events from partial observations

CHAOS, 32(4).

By: A. Asch*, E. J. Brady*, H. Gallardo *, J. Hood *, B. Chu n & M. Farazmand n 

MeSH headings : Computer Simulation; Deep Learning; Memory, Long-Term; Neural Networks, Computer; Reproducibility of Results
TL;DR: Long short-term memory networks are found to be most robust to noise and to yield relatively accurate predictions, while requiring minimal fine-tuning of the hyperparameters. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: May 16, 2022

2021 journal article

Data-driven prediction of multistable systems from sparse measurements

CHAOS, 31(6).

By: B. Chu n & M. Farazmand n 

TL;DR: A data-driven method, based on semi-supervised classification, to predict the asymptotic state of multistable systems when only sparse spatial measurements of the system are feasible, and proves that the proposed SPML optimization is convex, its minimizer is non-degenerate, and it is equivariant with respect to the scaling of the constraints. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: September 11, 2021

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2025) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.