Malte Rasch | DeepAI

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research

∙ 05/17/2023

AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing

The advancement of Deep Learning (DL) is driven by efficient Deep Neural...

1 Hadjer Benmeziane, et al. ∙

research

∙ 07/24/2019

Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays

A resistive memory device-based computing architecture is one of the pro...

5 Hyungjun Kim, et al. ∙

research

∙ 06/01/2018

Training LSTM Networks with Resistive Cross-Point Devices

In our previous work we have shown that resistive cross point devices, s...

0 Tayfun Gokmen, et al. ∙