24 citations · 37 across the 4 of their papers we have counts for
4 papers
Connecting the Dots: A Machine Learning Ready Dataset for Ionospheric Forecasting Models
Linnea M. Wolniewicz, Halil S. Kelebek, Simone Mestici +8
Operational forecasting of the ionosphere remains a critical space weather challenge due to sparse observations, complex coupling across geospatial layers, and a growing need for t…
Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image Translation
Valentina Salvatelli, Luiz F. G. dos Santos, Souvik Bose +6
The Solar Dynamics Observatory (SDO), a NASA multi-spectral decade-long mission that has been daily producing terabytes of observational data from the Sun, has been recently used a…
An Analysis of Publication Venues for Automatic Differentiation Research
Atilim Gunes Baydin, Barak A. Pearlmutter
We present the results of our analysis of publication venues for papers on automatic differentiation (AD), covering academic journals and conference proceedings. Our data are colle…
Automatic Differentiation of Algorithms for Machine Learning
Atilim Gunes Baydin, Barak A. Pearlmutter
Automatic differentiation---the mechanical transformation of numeric computer programs to calculate derivatives efficiently and accurately---dates to the origin of the computer age…