Amro Eldebiky, Li Zhang, Georg Böcherer, Bing Li, Ulf Schlichtmann
CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation
In: Design, Automation and Test in Europe (DATE)
April 2023
Best Paper Award Candidate
PDF (arXiv)

Amro Eldebiky, Georg Böcherer, Maximilian Schaedler, Stefano Calabrò, Bing Li, Ulf Schlichtmann
Implementation of a Robust and Power-Efficient Nonlinear 64-QAM Demapper using In-Memory Computing
In: Optical Fiber Communication Conference (OFC)
March 2023

Amro Eldebiky, Georg Böcherer, Li Zhang, Bing Li, Maximilian Schaedler, Stefano Calabrò, Ulf Schlichtmann
Power-Efficient and Robust Nonlinear Demapper for 64QAM Using in-Memory Computing
In: European Conference on Optical Communication (ECOC)
September 2022