Amro Eldebiky

According to our database, Amro Eldebiky authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

CorrectNet+: Dealing With HW Non-Idealities in In-Memory-Computing Platforms by Error Suppression and Compensation.

Amro Eldebiky, Grace Li Zhang, Georg Böcherer, Bing Li, Ulf Schlichtmann

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2024

2023

Class-Aware Pruning for Efficient Neural Networks.

Mengnan Jiang, Jingcun Wang, Amro Eldebiky, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Grace Li Zhang

CoRR, 2023

OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation.

Ruidi Qiu, Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li

CoRR, 2023

Implementation of a Robust and Power-Efficient Nonlinear 64-QAM Demapper using In-Memory Computing.

Amro Eldebiky, Georg Böcherer, Maximilian Schädler, Stefano Calabrò, Bing Li, Ulf Schlichtmann

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

Analog Feedback-Controlled Memristor Programming Circuit for Analog Content Addressable Memory.

Jiaao Yu, Paul-Philipp Manea, Sara Ameli, Mohammad Hizzani, Amro Eldebiky, John Paul Strachan

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

NearUni: Near-Unitary Training for Efficient Optical Neural Networks.

Amro Eldebiky, Bing Li, Grace Li Zhang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Countering Uncertainties in In-Memory-Computing Platforms with Statistical Training, Accuracy Compensation and Recursive Test.

Amro Eldebiky, Grace Li Zhang, Bing Li

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation.

Amro Eldebiky, Grace Li Zhang, Georg Böcherer, Bing Li, Ulf Schlichtmann

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

Efficient Hardware Approximation for Bit-Decomposition Based Deep Neural Network Accelerators.

Taha Soliman, Amro Eldebiky, Cecilia De la Parra, Andre Guntoro, Norbert Wehn

Proceedings of the 35th IEEE International System-on-Chip Conference, 2022