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2020 – today
- 2023
[c12]Hessam Rastegari, Hoshang Kolivand
, Peter Hawkins:
iCan: Psychological Look in Future Using Augmented Reality Technology. DeSE 2023: 56-59- 2021
- [c11]Krzysztof Marcin Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamás Sarlós, Peter Hawkins, Jared Quincy Davis, Afroz Mohiuddin, Lukasz Kaiser, David Benjamin Belanger, Lucy J. Colwell, Adrian Weller:
Rethinking Attention with Performers. ICLR 2021 - 2020
- [i4]Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamás Sarlós, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy J. Colwell, Adrian Weller:
Rethinking Attention with Performers. CoRR abs/2009.14794 (2020)
2010 – 2019
- 2018
- [c10]Yuan Yu, Martín Abadi, Paul Barham, Eugene Brevdo, Mike Burrows, Andy Davis, Jeff Dean, Sanjay Ghemawat, Tim Harley, Peter Hawkins, Michael Isard, Manjunath Kudlur, Rajat Monga, Derek Gordon Murray, Xiaoqiang Zheng:
Dynamic control flow in large-scale machine learning. EuroSys 2018: 18:1-18:15 - [c9]Noam Shazeer, Youlong Cheng, Niki Parmar, Dustin Tran, Ashish Vaswani, Penporn Koanantakool, Peter Hawkins, HyoukJoong Lee, Mingsheng Hong, Cliff Young, Ryan Sepassi, Blake A. Hechtman:
Mesh-TensorFlow: Deep Learning for Supercomputers. NeurIPS 2018: 10435-10444 - [i3]Yuan Yu, Martín Abadi, Paul Barham, Eugene Brevdo, Mike Burrows, Andy Davis, Jeff Dean, Sanjay Ghemawat, Tim Harley, Peter Hawkins, Michael Isard, Manjunath Kudlur, Rajat Monga, Derek Gordon Murray, Xiaoqiang Zheng:
Dynamic Control Flow in Large-Scale Machine Learning. CoRR abs/1805.01772 (2018) - [i2]Noam Shazeer, Youlong Cheng, Niki Parmar, Dustin Tran, Ashish Vaswani, Penporn Koanantakool, Peter Hawkins, HyoukJoong Lee, Mingsheng Hong, Cliff Young, Ryan Sepassi, Blake A. Hechtman:
Mesh-TensorFlow: Deep Learning for Supercomputers. CoRR abs/1811.02084 (2018) - 2015
- [c8]Brian Chin, Daniel von Dincklage, Vuk Ercegovac, Peter Hawkins, Mark S. Miller, Franz Josef Och, Christopher Olston, Fernando Pereira:
Yedalog: Exploring Knowledge at Scale. SNAPL 2015: 63-78 - 2012
- [b1]Peter Hawkins:
Data representation synthesis. Stanford University, USA, 2012 - [j2]Peter Hawkins, Martin C. Rinard, Alex Aiken, Mooly Sagiv, Kathleen Fisher:
An introduction to data representation synthesis. Commun. ACM 55(12): 91-99 (2012) - [c7]Peter Hawkins, Alex Aiken, Kathleen Fisher, Martin C. Rinard, Mooly Sagiv:
Reasoning about Lock Placements. ESOP 2012: 336-356 - [c6]Peter Hawkins, Alex Aiken, Kathleen Fisher, Martin C. Rinard, Mooly Sagiv:
Concurrent data representation synthesis. PLDI 2012: 417-428 - 2011
- [c5]Peter Hawkins, Alex Aiken, Kathleen Fisher, Martin C. Rinard, Mooly Sagiv:
Data representation synthesis. PLDI 2011: 38-49 - [i1]Peter Hawkins, Vitaly Lagoon, Peter J. Stuckey:
Solving Set Constraint Satisfaction Problems using ROBDDs. CoRR abs/1109.2139 (2011) - 2010
- [c4]Peter Hawkins, Alex Aiken, Kathleen Fisher, Martin C. Rinard, Mooly Sagiv:
Data Structure Fusion. APLAS 2010: 204-221
2000 – 2009
- 2007
- [c3]Alex Aiken, Suhabe Bugrara, Isil Dillig, Thomas Dillig, Brian Hackett, Peter Hawkins:
An overview of the saturn project. PASTE 2007: 43-48 - 2006
- [c2]Peter Hawkins, Peter J. Stuckey:
A Hybrid BDD and SAT Finite Domain Constraint Solver. PADL 2006: 103-117 - 2005
- [j1]Peter Hawkins, Vitaly Lagoon, Peter J. Stuckey:
Solving Set Constraint Satisfaction Problems using ROBDDs. J. Artif. Intell. Res. 24: 109-156 (2005) - 2004
- [c1]Peter Hawkins, Vitaly Lagoon, Peter J. Stuckey:
Set Bounds and (Split) Set Domain Propagation Using ROBDDs. Australian Conference on Artificial Intelligence 2004: 706-717
Coauthor Index
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