Improving Noise Tolerance of Mixed-Signal Neural Networks

2 April 2019

Papers citing "Improving Noise Tolerance of Mixed-Signal Neural Networks"

7 / 7 papers shown

Title
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling Matthew Burns Qingyuan Hou Michael Huang 224 1 0 08 Oct 2024
Effect of Batch Normalization on Noise Resistant Property of Deep Learning Models Omobayode Fagbohungbe Lijun Qian 26 10 0 15 May 2022
Impact of L1 Batch Normalization on Analog Noise Resistant Property of Deep Learning Models Omobayode Fagbohungbe Lijun Qian 35 0 0 07 May 2022
On the Accuracy of Analog Neural Network Inference Accelerators T. Xiao Ben Feinberg C. Bennett V. Prabhakar Prashant Saxena V. Agrawal S. Agarwal M. Marinella 30 34 0 03 Sep 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 24 18 0 16 Apr 2021
Benchmarking Inference Performance of Deep Learning Models on Analog Devices Omobayode Fagbohungbe Lijun Qian 27 7 0 24 Nov 2020
3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Mohammad Bavandpour Shubham Sahay M. Mahmoodi D. Strukov 24 29 0 07 Aug 2019