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Frontiers in Neuroscience|October 26, 2017
Training Deep Convolutional Neural Networks with Resistive Cross-Point DevicesTayfun Gokmen, Murat Onen, Wilfried HaenschFrontiers in Neuroscience|March 17, 2020
Algorithm for Training Neural Networks on Resistive Device ArraysTayfun Gokmen, Wilfried HaenschFrontiers in Neuroscience|November 9, 2018
Training LSTM Networks With Resistive Cross-Point DevicesTayfun Gokmen, Malte J Rasch, Wilfried HaenschFrontiers in Artificial Intelligence|May 26, 2022
Neural Network Training With Asymmetric Crosspoint ElementsMurat Onen, Tayfun Gokmen, Teodor K Todorov, et al.Frontiers in Neuroscience|August 17, 2019
RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures With Analog ArraysMalte J Rasch, Tayfun Gokmen, Mattia Rigotti, et al.Nanotechnology|September 26, 2019
Design and characterization of superconducting nanowire-based processors for acceleration of deep neural network trainingMurat Onen, Brenden A Butters, Emily Toomey, et al.Frontiers in Artificial Intelligence|September 27, 2021
Enabling Training of Neural Networks on Noisy HardwareTayfun GokmenFrontiers in Neuroscience|August 6, 2016
Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design ConsiderationsTayfun Gokmen, Yurii VlasovNano Letters|December 22, 2010
Large-scale graphene transistors with enhanced performance and reliability based on interface engineering by phenylsilane self-assembled monolayersZihong Liu, Ageeth A Bol, Wilfried HaenschACS Nano|July 8, 2014
Defining and overcoming the contact resistance challenge in scaled carbon nanotube transistorsAaron D Franklin, Damon B Farmer, Wilfried HaenschPageof 4