4 citations · 5 across the 2 of their papers we have counts for
2 papers
physics.ao-ph2022★ 1 cited
Insight into cloud processes from unsupervised classification with a rotationally invariant autoencoder
Takuya Kurihana, James Franke, Ian Foster +2
Clouds play a critical role in the Earth's energy budget and their potential changes are one of the largest uncertainties in future climate projections. However, the use of satelli…
physics.ao-ph2022★ 4 cited
Cloud Classification with Unsupervised Deep Learning
Takuya Kurihana, Ian Foster, Rebecca Willett +6
We present a framework for cloud characterization that leverages modern unsupervised deep learning technologies. While previous neural network-based cloud classification models hav…