| High density individually addressable nanowire arrays record intracellular activity from primary rodent and human stem cell derived neurons R Liu, R Chen, AT Elthakeb, SH Lee, S Hinckley, ML Khraiche, J Scott, ... Nano letters 17 (5), 2757-2764, 2017 | 190 | 2017 |
| ReLeQ : A Reinforcement Learning Approach for Automatic Deep Quantization of Neural Networks AT Elthakeb, P Pilligundla, F Mireshghallah, A Yazdanbakhsh, ... IEEE micro 40 (5), 37-45, 2020 | 183* | 2020 |
| Autoclave sterilization of PEDOT: PSS electrophysiology devices I Uguz, M Ganji, A Hama, A Tanaka, SM Inal, AA Youssef, RM Owens, ... Advanced healthcare materials 5, 3094-3098, 2016 | 63 | 2016 |
| Scaling effects on the electrochemical performance of poly (3, 4‐ethylenedioxythiophene (PEDOT), Au, and Pt for electrocorticography recording M Ganji, AT Elthakeb, A Tanaka, V Gilja, E Halgren, SA Dayeh Advanced Functional Materials 27 (42), 1703018, 2017 | 60 | 2017 |
| Not all features are equal: Discovering essential features for preserving prediction privacy F Mireshghallah, M Taram, A Jalali, ATT Elthakeb, D Tullsen, ... Proceedings of the Web Conference 2021, 669-680, 2021 | 49 | 2021 |
| Sub-10 nm low current resistive switching behavior in hafnium oxide stack Y Hou, U Celano, L Goux, L Liu, A Fantini, R Degraeve, A Youssef, Z Xu, ... Applied Physics Letters 108 (12), 2016 | 40 | 2016 |
| Scaling of TG-FinFETs: 3-D Monte Carlo simulations in the ballistic and quasi-ballistic regimes AT Elthakeb, H Abd Elhamid, Y Ismail IEEE Transactions on Electron Devices 62 (6), 1796-1802, 2015 | 21 | 2015 |
| A principled approach to learning stochastic representations for privacy in deep neural inference F Mireshghallah, M Taram, A Jalali, AT Elthakeb, D Tullsen, ... arXiv preprint arXiv:2003.12154, 2020 | 14 | 2020 |
| Divide and conquer: Leveraging intermediate feature representations for quantized training of neural networks AT Elthakeb, P Pilligundla, F Mireshghallah, A Cloninger, ... International Conference on Machine Learning, 2880-2891, 2020 | 12 | 2020 |
| WaveQ: Gradient-based deep quantization of neural networks through sinusoidal adaptive regularization AT Elthakeb, P Pilligundla, F Mireshghallah, T Elgindi, CA Deledalle, ... arXiv preprint arXiv:2003.00146, 2020 | 12 | 2020 |
| SinReQ: Generalized sinusoidal regularization for low-bitwidth deep quantized training AT Elthakeb, P Pilligundla, H Esmaeilzadeh arXiv preprint arXiv:1905.01416, 2019 | 8 | 2019 |
| ReLeQ: A reinforcement learning approach for deep quantization of neural networks. arXiv, 2018 AT Elthakeb, P Pilligundla, A Yazdanbakhsh, S Kinzer, H Esmaeilzadeh URL https://arxiv. org/pdf/1811.01704. pdf, 0 | 5 | |
| Analysis and optimization for dynamic read stability in 28nm SRAM bitcells AT Elthakeb, T Haine, D Flandre, Y Ismail, H Abd Elhamid, D Bol 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 1414-1417, 2015 | 2 | 2015 |
| Monolithic thin film elements and performance electronics, solar powered systems and fabrication A Shadi, YG Ro, N Park, A Tanaka, S Vishniakou, A Youssef, J Buckwalter, ... US Patent 11,056,517, 2021 | 1 | 2021 |
| Interpretable privacy for deep learning inference F Mireshghallah, M Taram, A Jalali, AT Elthakeb, D Tullsen, ... Tech Report, 2020 | 1 | 2020 |
| Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy FMMTA Jalali, AT Elthakeb, DTH Esmaeilzadeh | | 2021 |
| Algorithmic Techniques Towards Efficient Quantization of Deep Neural Networks A Youssef University of California, San Diego, 2020 | | 2020 |
| Nano-scale TG-FinFET: Simulation and Analysis ATEN Youssef | | 2016 |
| Analysis and Optimization for Dynamic Read Stability in 28nm SRAM Bitcells A Taha Elthakeb Naguib Youssef, T Haine, D Flandre, Y Ismail, ... IEEE International Conference on Circuits and Systems (ISCAS 2015), 2015 | | 2015 |
| WAVEQ: GRADIENT-BASED DEEP QUANTIZATION OF NEURAL NETWORKS THROUGH SINUSOIDAL REGULARIZATION AT Elthakeb, P Pilligundla, T Elgindi, F Mireshghallah, CA Deledalle, ... | | |
Hadi EsmaeilzadehAssociate Professor; Computer Science and Engineering; University of California, San DiegoВерификована је имејл адреса на eng.ucsd.edu
