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Information contraction in noisy binary neural networks and its implications.

C. Zhou, Q. Zhuang, M. Mattina, and P. Whatmough. CoRR, (2021)

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n n n

n AÊ¿w n

N -L N Nguyen

n-hy n Yi

N Walz

Other publications of authors with the same name

DNN Engine: A 28-nm Timing-Error Tolerant Sparse Deep Neural Network Processor for IoT Applications.P. Whatmough, S. Lee, D. Brooks, and G. Wei. IEEE J. Solid State Circuits, 53 (9): 2722-2731 (2018)A case for efficient accelerator design space exploration via Bayesian optimization.B. Reagen, J. Hernández-Lobato, R. Adolf, M. Gelbart, P. Whatmough, G. Wei, and D. Brooks. ISLPED, page 1-6. IEEE, (2017)A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs.T. Tambe, E. Yang, G. Ko, Y. Chai, C. Hooper, M. Donato, P. Whatmough, A. Rush, D. Brooks, and G. Wei. IEEE J. Solid State Circuits, 58 (2): 569-581 (February 2023)Mobile Machine Learning Hardware at ARM: A Systems-on-Chip (SoC) Perspective.Y. Zhu, M. Mattina, and P. Whatmough. CoRR, (2018)Noisy Machines: Understanding Noisy Neural Networks and Enhancing Robustness to Analog Hardware Errors Using Distillation.C. Zhou, P. Kadambi, M. Mattina, and P. Whatmough. CoRR, (2020)SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads.S. Xi, Y. Yao, K. Bhardwaj, P. Whatmough, G. Wei, and D. Brooks. ACM Trans. Archit. Code Optim., 17 (4): 39:1-39:26 (2020)AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator.C. Zhou, F. García-Redondo, J. Büchel, I. Boybat, X. Comas, S. Nandakumar, S. Das, A. Sebastian, M. Gallo, and P. Whatmough. CoRR, (2021)Information contraction in noisy binary neural networks and its implications.C. Zhou, Q. Zhuang, M. Mattina, and P. Whatmough. CoRR, (2021)UDC: Unified DNAS for Compressible TinyML Models.I. Fedorov, R. Navarro, H. Tann, C. Zhou, M. Mattina, and P. Whatmough. CoRR, (2022)Fast and Accurate: Video Enhancement Using Sparse Depth.Y. Feng, P. Hansen, P. Whatmough, G. Lu, and Y. Zhu. WACV, page 4481-4489. IEEE, (2023)

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Disambiguation of "Whatmough, Paul N."

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Information contraction in noisy binary neural networks and its implications.

Please choose a person to relate this publication to

n n n

n AÊ¿w n

N -L N Nguyen

n-hy n Yi

N Walz

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Whatmough, Paul N."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Information contraction in noisy binary neural networks and its implications.

Please choose a person to relate this publication to

n n n

n AÊ¿w n

N -L N Nguyen

n-hy n Yi

N Walz

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Information contraction in noisy binary neural networks and its implications.