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ORCIDAhmed T. Elthakeb
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2020 – today
- 2021
[c4]Fatemehsadat Mireshghallah, Mohammadkazem Taram, Ali Jalali, Ahmed Taha Elthakeb, Dean M. Tullsen
, Hadi Esmaeilzadeh:
Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy. WWW 2021: 669-680- 2020
- [j1]Ahmed T. Elthakeb, Prannoy Pilligundla, Fatemehsadat Mireshghallah, Amir Yazdanbakhsh, Hadi Esmaeilzadeh:
ReLeQ : A Reinforcement Learning Approach for Automatic Deep Quantization of Neural Networks. IEEE Micro 40(5): 37-45 (2020) - [c3]Ahmed Taha Elthakeb, Prannoy Pilligundla, Fatemeh Mireshghallah, Alexander Cloninger, Hadi Esmaeilzadeh:
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks. ICML 2020: 2880-2891 - [i5]Ahmed T. Elthakeb, Prannoy Pilligundla, Fatemehsadat Mireshghallah, Tarek Elgindi, Charles-Alban Deledalle, Hadi Esmaeilzadeh:
Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization. CoRR abs/2003.00146 (2020) - [i4]Fatemehsadat Mireshghallah, Mohammadkazem Taram, Ali Jalali, Ahmed Taha Elthakeb, Dean M. Tullsen, Hadi Esmaeilzadeh:
A Principled Approach to Learning Stochastic Representations for Privacy in Deep Neural Inference. CoRR abs/2003.12154 (2020)
2010 – 2019
- 2019
- [i3]Ahmed T. Elthakeb, Prannoy Pilligundla, Hadi Esmaeilzadeh:
SinReQ: Generalized Sinusoidal Regularization for Automatic Low-Bitwidth Deep Quantized Training. CoRR abs/1905.01416 (2019) - [i2]Ahmed T. Elthakeb, Prannoy Pilligundla, Hadi Esmaeilzadeh:
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks. CoRR abs/1906.06033 (2019) - 2018
- [i1]Ahmed T. Elthakeb, Prannoy Pilligundla, Amir Yazdanbakhsh, Sean Kinzer, Hadi Esmaeilzadeh:
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks. CoRR abs/1811.01704 (2018) - 2015
- [c2]Ahmed T. Elthakeb, Thomas Haine, Denis Flandre, Yehea Ismail, Hamdy Abd Elhamid, David Bol:
Analysis and optimization for dynamic read stability in 28nm SRAM bitcells. ISCAS 2015: 1414-1417 - 2014
- [c1]Ahmed T. Elthakeb, Hamdy Abd Elhamid, Hassan Mostafa, Yehea Ismail:
Performance evaluation of finFET based SRAM under statistical VT variability. ICM 2014: 88-91
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