Martin Wicke
Martin Wicke completed his PhD at ETH Zurich on geometric modeling and simulation using particle methods. As a fellow of the Max Planck Center for Visual Computing and Communication and visiting Assistant Professor at Stanford University, he worked on learning system behavior to speed up fluid simulations, to improve routing in sensor networks, and localization in indoor environments. He worked on unified solid and fluid simulations at UC Berkeley and on video analysis as VP R&D at HighlightCam. Before joining Google, Martin worked on consumer-focused products simplifying and automating CAD and CAM, video-processing, VR, and using machine learning for developer tools.
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TFX: A TensorFlow-Based Production-Scale Machine Learning Platform
Akshay Naresh Modi
Chiu Yuen Koo
Chuan Yu Foo
Clemens Mewald
Denis M. Baylor
Jarek Wilkiewicz
Levent Koc
Lukasz Lew
Martin A. Zinkevich
Mustafa Ispir
Neoklis Polyzotis
Steven Whang
Sudip Roy
Sukriti Ramesh
Vihan Jain
Xin Zhang
Zakaria Haque
KDD 2017
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks
Cassandra Xia
Clemens Mewald
D. Sculley
George Roumpos
Illia Polosukhin
Jamie Alexander Smith
Jianwei Xie
Lichan Hong
Mustafa Ispir
Philip Daniel Tucker
Yuan Tang
Zakaria Haque
Proceedings of the 23th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, Canada (2017)
TensorFlow: A system for large-scale machine learning
Jianmin Chen
Zhifeng Chen
Matthieu Devin
Geoffrey Irving
Manjunath Kudlur
Rajat Monga
Benoit Steiner
Paul Tucker
Vijay Vasudevan
Pete Warden
Yuan Yu
Xiaoqiang Zheng
12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16), USENIX Association (2016), pp. 265-283
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Ashish Agarwal
Eugene Brevdo
Zhifeng Chen
Craig Citro
Matthieu Devin
Ian Goodfellow
Andrew Harp
Geoffrey Irving
Yangqing Jia
Rafal Jozefowicz
Lukasz Kaiser
Manjunath Kudlur
Dan Mané
Rajat Monga
Chris Olah
Mike Schuster
Jonathon Shlens
Benoit Steiner
Ilya Sutskever
Kunal Talwar
Paul Tucker
Vijay Vasudevan
Pete Warden
Yuan Yu
Xiaoqiang Zheng
tensorflow.org (2015)
