Clemens Mewald
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
3
Venues
2
Active years
2017–2020
Best venue rank
A*
Where they publish
Papers
3 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2020 | SIGMOD | Developments in MLflow: A System to Accelerate the Machine Learning Lifecycle. | Andrew Chen, Andy Chow, Aaron Davidson, Arjun DCunha, Ali Ghodsi, Sue Ann Hong, Andy Konwinski, Clemens Mewald, Siddharth Murching, Tomas Nykodym, Paul Ogilvie, Mani Parkhe, Avesh Singh, Fen Xie, Matei Zaharia, Richard Zang, Juntai Zheng, Corey Zumar |
| 2017 | KDD | TFX: A TensorFlow-Based Production-Scale Machine Learning Platform. | Denis Baylor, Eric Breck, Heng-Tze Cheng, Noah Fiedel, Chuan Yu Foo, Zakaria Haque, Salem Haykal, Mustafa Ispir, Vihan Jain, Levent Koc, Chiu Yuen Koo, Lukasz Lew, Clemens Mewald, Akshay Naresh Modi, Neoklis Polyzotis, Sukriti Ramesh, Sudip Roy, Steven Euijong Whang, Martin Wicke, Jarek Wilkiewicz, Xin Zhang, Martin Zinkevich |
| 2017 | KDD | 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, Martin Wicke, Cassandra Xia, Jianwei Xie |