Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices. - Tayfun Gokmen; O. Murat Onen; Wilfried Haensch (CoRR, 2017)

Design and Characterization of Superconducting Nanowire-Based Processors for Acceleration of Deep Neural Network Training. - O. Murat Onen; Brenden A. Butters; Emily Toomey; Tayfun Gokmen; Karl K. Berggren (CoRR, 2019)

Neural Network Training With Asymmetric Crosspoint Elements. - O. Murat Onen; Tayfun Gokmen; Teodor K. Todorov; Tomasz Nowicki; Jesús A. del Alamo; John Rozen; Wilfried Haensch; Seyoung Kim (Frontiers Artif. Intell., 2022)

Devices and Algorithms for Analog Deep Learning - O. Murat Onen (2022)

Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation. - Vassilis Kalantzis; Mark S. Squillante; Shashanka Ubaru; Tayfun Gokmen; Chai Wah Wu; Anshul Gupta; Haim Avron; Tomasz Nowicki; Malte J. Rasch; O. Murat Onen; Vanessa López-Marrero; Effendi Leobandung; et al. (CoRR, 2024)