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Auto-Vectorizing TensorFlow Graphs: Jacobians, Auto-Batching And Beyond

Mar 08, 2019
Ashish Agarwal, Igor Ganichev


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TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning

Feb 27, 2019
Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai

* Proc. of the 2nd SysML Conference, 2019 

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Spectral Inference Networks: Unifying Spectral Methods With Deep Learning

Jun 06, 2018
David Pfau, Stig Petersen, Ashish Agarwal, David Barrett, Kim Stachenfeld


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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Mar 16, 2016
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mane, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viegas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

* Version 2 updates only the metadata, to correct the formatting of Mart\'in Abadi's name 

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