Benoit Steiner
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
6
Active years
2016–2023
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | CPAIOR | Local Branching Relaxation Heuristics for Integer Linear Programs. | Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner |
| 2023 | ICML | SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems. | Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian |
| 2023 | ICML | Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning. | Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner |
| 2023 | ICML | Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. | Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh James Leather, Yuandong Tian |
| 2023 | ICML | MODeL: Memory Optimizations for Deep Learning. | Benoit Steiner, Mostafa Elhoushi, Jacob Kahn, James Hegarty |
| 2022 | CGO | CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. | Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather |
| 2022 | ICML | Flashlight: Enabling Innovation in Tools for Machine Learning. | Jacob D. Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Y. Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert |
| 2022 | PLDI | A graph neural network-based performance model for deep learning applications. | Shikhar Singh, James Hegarty, Hugh Leather, Benoit Steiner |
| 2018 | ICLR | A Hierarchical Model for Device Placement. | Azalia Mirhoseini, Anna Goldie, Hieu Pham, Benoit Steiner, Quoc V. Le, Jeff Dean |
| 2017 | ICML | Device Placement Optimization with Reinforcement Learning. | Azalia Mirhoseini, Hieu Pham, Quoc V. Le, Benoit Steiner, Rasmus Larsen, Yuefeng Zhou, Naveen Kumar, Mohammad Norouzi, Samy Bengio, Jeff Dean |
| 2016 | OSDI | TensorFlow: A System for Large-Scale Machine Learning. | Martn Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng |