Rampant software errors undermine scientific results. - David A. W. Soergel (F1000Research, 2014)

TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. - Heng-Tze Cheng; Zakaria Haque; Lichan Hong; Mustafa Ispir; Clemens Mewald; Illia Polosukhin; Georgios Roumpos; D. Sculley; Jamie Smith; David Soergel; Yuan Tang; Philipp Tucker; et al. (KDD, 2017)

TensorFlow.js: Machine Learning For The Web and Beyond. - Daniel Smilkov; Nikhil Thorat; Yannick Assogba; Ann Yuan; Nick Kreeger; Ping Yu; Kangyi Zhang; Shanqing Cai; Eric Nielsen; David Soergel; Stan Bileschi; Michael Terry; et al. (SysML, 2019)