76 citations · 76 across the 3 of their papers we have counts for
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cs.ET2021
Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks
Dovydas Joksas, Erwei Wang, Nikolaos Barmpatsalos +4
Recent years have seen a rapid rise of artificial neural networks being employed in a number of cognitive tasks. The ever-increasing computing requirements of these structures have…
cs.ET2019★ 76 cited
Committee machines -- a universal method to deal with non-idealities in memristor-based neural networks
D. Joksas, P. Freitas, Z. Chai +7
Artificial neural networks are notoriously power- and time-consuming when implemented on conventional von Neumann computing systems. Consequently, recent years have seen an emergen…