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2020 – today
- 2024
[j1]Amro Eldebiky
, Grace Li Zhang, Georg Böcherer, Bing Li, Ulf Schlichtmann:
CorrectNet+: Dealing With HW Non-Idealities in In-Memory-Computing Platforms by Error Suppression and Compensation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(2): 573-585 (2024)- [c8]Mengnan Jiang, Jingcun Wang, Amro Eldebiky, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Grace Li Zhang:
Class-Aware Pruning for Efficient Neural Networks. DATE 2024: 1-6 - [c7]Ruidi Qiu, Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li:
OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation. DATE 2024: 1-6 - [i6]Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Ulf Schlichtmann, Bing Li:
BasisN: Reprogramming-Free RRAM-Based In-Memory-Computing by Basis Combination for Deep Neural Networks. CoRR abs/2407.03738 (2024) - [i5]Sijie Fei, Amro Eldebiky, Grace Li Zhang, Bing Li, Ulf Schlichtmann:
An Efficient General-Purpose Optical Accelerator for Neural Networks. CoRR abs/2409.12966 (2024) - 2023
- [c6]Amro Eldebiky, Grace Li Zhang, Georg Böcherer, Bing Li, Ulf Schlichtmann:
CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation. DATE 2023: 1-6 - [c5]Amro Eldebiky, Grace Li Zhang, Bing Li:
Countering Uncertainties in In-Memory-Computing Platforms with Statistical Training, Accuracy Compensation and Recursive Test. DATE 2023: 1-6 - [c4]Amro Eldebiky, Bing Li, Grace Li Zhang:
NearUni: Near-Unitary Training for Efficient Optical Neural Networks. ICCAD 2023: 1-8 - [c3]Jiaao Yu, Paul-Philipp Manea, Sara Ameli, Mohammad Hizzani, Amro Eldebiky, John Paul Strachan:
Analog Feedback-Controlled Memristor Programming Circuit for Analog Content Addressable Memory. MetroXRAINE 2023: 983-988 - [c2]Amro Eldebiky, Georg Böcherer, Maximilian Schädler, Stefano Calabrò, Bing Li, Ulf Schlichtmann:
Implementation of a Robust and Power-Efficient Nonlinear 64-QAM Demapper using In-Memory Computing. OFC 2023: 1-3 - [i4]Jiaao Yu, Paul-Philipp Manea, Sara Ameli, Mohammad Hizzani, Amro Eldebiky, John Paul Strachan:
Analog Feedback-Controlled Memristor programming Circuit for analog Content Addressable Memory. CoRR abs/2304.11030 (2023) - [i3]Ruidi Qiu, Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li:
OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation. CoRR abs/2312.01403 (2023) - [i2]Mengnan Jiang, Jingcun Wang, Amro Eldebiky, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Grace Li Zhang:
Class-Aware Pruning for Efficient Neural Networks. CoRR abs/2312.05875 (2023) - 2022
- [c1]Taha Soliman, Amro Eldebiky, Cecilia De la Parra, Andre Guntoro, Norbert Wehn:
Efficient Hardware Approximation for Bit-Decomposition Based Deep Neural Network Accelerators. SOCC 2022: 1-6 - [i1]Amro Eldebiky, Grace Li Zhang, Georg Böcherer, Bing Li, Ulf Schlichtmann:
CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation. CoRR abs/2211.14917 (2022)
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