4 citations · 5 across the 3 of their papers we have counts for
3 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…
physics.ao-ph2022
AICCA: AI-driven Cloud Classification Atlas
Takuya Kurihana, Elisabeth Moyer, Ian Foster
Clouds play an important role in the Earth's energy budget and their behavior is one of the largest uncertainties in future climate projections. Satellite observations should help…