3 citations · 3 across the 1 of their papers we have counts for
3 papers
Swift for TensorFlow: A portable, flexible platform for deep learning
Brennan Saeta, Denys Shabalin, Marc Rasi +10
Swift for TensorFlow is a deep learning platform that scales from mobile devices to clusters of hardware accelerators in data centers. It combines a language-integrated automatic d…
Synthesizing Tasks for Block-based Programming
Umair Z. Ahmed, Maria Christakis, Aleksandr Efremov +4
Block-based visual programming environments play a critical role in introducing computing concepts to K-12 students. One of the key pedagogical challenges in these environments is…
Automatic Differentiation in ROOT
Vassil Vassilev, Aleksandr Efremov, Oksana Shadura
In mathematics and computer algebra, automatic differentiation (AD) is a set of techniques to evaluate the derivative of a function specified by a computer program. AD exploits the…