83 citations · 94 across the 14 of their papers we have counts for
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cs.ET2021
A Memristor-Based Bayesian Machine
Kamel-Eddine Harabi, Tifenn Hirtzlin, Clément Turck +7
In recent years, a considerable research effort has shown the energy benefits of implementing neural networks with memristors or other emerging memory technologies. However, for ex…
cs.LG2021★ 6 cited
Model of the Weak Reset Process in HfOx Resistive Memory for Deep Learning Frameworks
Atreya Majumdar, Marc Bocquet, Tifenn Hirtzlin +6
The implementation of current deep learning training algorithms is power-hungry, owing to data transfer between memory and logic units. Oxide-based RRAMs are outstanding candidates…