13 citations · 20 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 13 cited
Model-assisted deep learning of rare extreme events from partial observations
Anna Asch, Ethan Brady, Hugo Gallardo +3
To predict rare extreme events using deep neural networks, one encounters the so-called small data problem because even long-term observations often contain few extreme events. Her…
math.DS2020★ 7 cited
Data-driven prediction of multistable systems from sparse measurements
Bryan Chu, Mohammad Farazmand
We develop 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…