Azalia Mirhoseini
Azalia Mirhoseini
Research Scientist, Google Brain
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Cited by
Cited by
Outrageously large neural networks: The sparsely-gated mixture-of-experts layer
N Shazeer, A Mirhoseini, K Maziarz, A Davis, Q Le, G Hinton, J Dean
arXiv preprint arXiv:1701.06538, 2017
Device placement optimization with reinforcement learning
A Mirhoseini, H Pham, QV Le, B Steiner, R Larsen, Y Zhou, N Kumar, ...
International Conference on Machine Learning, 2430-2439, 2017
A unified framework for multimodal submodular integrated circuits trojan detection
F Koushanfar, A Mirhoseini
IEEE Transactions on Information Forensics and Security 6 (1), 162-174, 2010
A hierarchical model for device placement
A Mirhoseini, A Goldie, H Pham, B Steiner, Q V. Le, J Dean
International Conference on Learning Representations (ICLR), 2018, 2018
Chip placement with deep reinforcement learning
A Mirhoseini, A Goldie, M Yazgan, J Jiang, E Songhori, S Wang, YJ Lee, ...
arXiv preprint arXiv:2004.10746, 2020
Optimizing task recommendations in context-aware mobile crowdsourcing
S Nath, M Goraczko, J Liu, A Mirhoseini
US Patent 9,911,088, 2018
Idetic: A high-level synthesis approach for enabling long computations on transiently-powered ASICs
A Mirhoseini, EM Songhori, F Koushanfar
2013 IEEE International Conference on Pervasive Computing and Communications …, 2013
A graph placement methodology for fast chip design
A Mirhoseini, A Goldie, M Yazgan, JW Jiang, E Songhori, S Wang, YJ Lee, ...
Nature 594 (7862), 207-212, 2021
Deep mixture of experts via shallow embedding
X Wang, F Yu, L Dunlap, YA Ma, R Wang, A Mirhoseini, T Darrell, ...
Uncertainty in Artificial Intelligence, 552-562, 2020
Delight: Adding energy dimension to deep neural networks
BD Rouhani, A Mirhoseini, F Koushanfar
Proceedings of the 2016 International Symposium on Low Power Electronics and …, 2016
HypoEnergy. hybrid supercapacitor-battery power-supply optimization for energy efficiency
A Mirhoseini, F Koushanfar
2011 Design, Automation & Test in Europe, 1-4, 2011
Coding-based energy minimization for phase change memory
A Mirhoseini, M Potkonjak, F Koushanfar
Proceedings of the 49th Annual Design Automation Conference, 68-76, 2012
Ssketch: An automated framework for streaming sketch-based analysis of big data on fpga
BD Rouhani, EM Songhori, A Mirhoseini, F Koushanfar
2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom …, 2015
Deep3: Leveraging three levels of parallelism for efficient deep learning
BD Rouhani, A Mirhoseini, F Koushanfar
Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017
Automated checkpointing for enabling intensive applications on energy harvesting devices
A Mirhoseini, EM Songhori, F Koushanfar
International Symposium on Low Power Electronics and Design (ISLPED), 27-32, 2013
A unified submodular framework for multimodal IC Trojan detection
F Koushanfar, A Mirhoseini, Y Alkabani
International Workshop on Information Hiding, 17-32, 2010
Gap: Generalizable approximate graph partitioning framework
A Nazi, W Hang, A Goldie, S Ravi, A Mirhoseini
arXiv preprint arXiv:1903.00614, 2019
Perform-ml: Performance optimized machine learning by platform and content aware customization
A Mirhoseini, B Darvish Rouhani, EM Songhori, F Koushanfar
2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 2016
Chime: Checkpointing long computations on interm ittently energized iot devices
A Mirhoseini, BD Rouhani, E Songhori, F Koushanfar
IEEE Transactions on Multi-Scale Computing Systems 2 (4), 277-290, 2016
Transferable graph optimizers for ml compilers
Y Zhou, S Roy, A Abdolrashidi, D Wong, P Ma, Q Xu, H Liu, ...
arXiv preprint arXiv:2010.12438, 2020
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