Benoit Steiner
Menlo Park, United States
Benoit is a Research Engineer at FAIR focusing on systems research. His long-term goal is to understand how to build better tooling to support deep learning research, primarily by combining AI techniques with traditional ones. Benoit received a Diplome d'Ingénieur de l'Ecole Centrale Paris and a Master's degree from ISIA/Mines de Paris.
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Benoit's Publications
December 02, 2019
Research
Computer Vision
Learning to Optimize Halide with Tree Search and Random Programs
Andrew Adams, Karima Ma, Luke Anderson, Riyadh Baghdadi, Tzu-Mao Li, Michaël Gharbi, Benoit Steiner, Steven Johnson, Kayvon Fatahalian, Frédo Durand, Jonathan Ragan-Kelley
December 02, 2019
July 28, 2019
Research
Computer Vision
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala
July 28, 2019
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