Performance evaluation of finFET based SRAM under statistical VT variability. - Ahmed T. Elthakeb; Hamdy Abd Elhamid; Hassan Mostafa; Yehea Ismail (ICM, 2014)

Analysis and optimization for dynamic read stability in 28nm SRAM bitcells. - Ahmed T. Elthakeb; Thomas Haine; Denis Flandre; Yehea Ismail; Hamdy Abd Elhamid; David Bol (ISCAS, 2015)

ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks. - Ahmed T. Elthakeb; Prannoy Pilligundla; Amir Yazdanbakhsh; Sean Kinzer; Hadi Esmaeilzadeh (CoRR, 2018)

SinReQ: Generalized Sinusoidal Regularization for Automatic Low-Bitwidth Deep Quantized Training. - Ahmed T. Elthakeb; Prannoy Pilligundla; Hadi Esmaeilzadeh (CoRR, 2019)

Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks. - Ahmed T. Elthakeb; Prannoy Pilligundla; Hadi Esmaeilzadeh (CoRR, 2019)

Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks. - Ahmed Taha Elthakeb; Prannoy Pilligundla; Fatemeh Mireshghallah; Alexander Cloninger; Hadi Esmaeilzadeh (ICML, 2020)

Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization. - Ahmed T. Elthakeb; Prannoy Pilligundla; Fatemehsadat Mireshghallah; Tarek Elgindi; Charles-Alban Deledalle; Hadi Esmaeilzadeh (CoRR, 2020)

A Principled Approach to Learning Stochastic Representations for Privacy in Deep Neural Inference. - Fatemehsadat Mireshghallah; Mohammadkazem Taram; Ali Jalali; Ahmed Taha Elthakeb; Dean M. Tullsen; Hadi Esmaeilzadeh (CoRR, 2020)

ReLeQ : A Reinforcement Learning Approach for Automatic Deep Quantization of Neural Networks. - Ahmed T. Elthakeb; Prannoy Pilligundla; Fatemehsadat Mireshghallah; Amir Yazdanbakhsh; Hadi Esmaeilzadeh (IEEE Micro, 2020)

Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy. - Fatemehsadat Mireshghallah; Mohammadkazem Taram; Ali Jalali; Ahmed Taha Elthakeb; Dean M. Tullsen; Hadi Esmaeilzadeh (WWW, 2021)