High-Precision Tuning of State for Memristive Devices by Adaptable Variation-Tolerant Algorithm - Fabien Alibart; Ligang Gao; Brian Hoskins; Dmitri B. Strukov (CoRR, 2011)

Digital-to-analog and analog-to-digital conversion with metal oxide memristors for ultra-low power computing. - Ligang Gao; Farnood Merrikh-Bayat; Fabien Alibart; Xinjie Guo; Brian D. Hoskins; Kwang-Ting Cheng; Dmitri B. Strukov (NANOARCH, 2013)

Training and Operation of an Integrated Neuromorphic Network Based on Metal-Oxide Memristors. - Mirko Prezioso; Farnood Merrikh-Bayat; Brian Hoskins; Gina C. Adam; Konstantin K. Likharev; Dmitri B. Strukov (CoRR, 2014)

Three-Dimensional Stateful Material Implication Logic. - Gina C. Adam; Brian D. Hoskins; Mirko Prezioso; Dmitri B. Strukov (CoRR, 2015)

Self-Adaptive Spike-Time-Dependent Plasticity of Metal-Oxide Memristors. - Mirko Prezioso; Farnood Merrikh-Bayat; Brian Hoskins; Konstantin K. Likharev; Dmitri B. Strukov (CoRR, 2015)

Highly-uniform multi-layer ReRAM crossbar circuits. - Gina C. Adam; Brian D. Hoskins; Mirko Prezioso; Farnood Merrikh-Bayat; Bhaswar Chakrabarti; Dmitri B. Strukov (ESSDERC, 2016)

Spiking neuromorphic networks with metal-oxide memristors. - Mirko Prezioso; Y. Zhong; D. Gavrilov; Farnood Merrikh-Bayat; Brian Hoskins; Gina C. Adam; Konstantin K. Likharev; Dmitri B. Strukov (ISCAS, 2016)

Utilizing I-V non-linearity and analog state variations in ReRAM-based security primitives. - Gina C. Adam; Hussein Nili; Jeeson Kim; Brian D. Hoskins; Omid Kavehei; Dmitri B. Strukov (ESSDERC, 2017)

Nanoscale Scanning Probe Thermometry of TaOe-based selector devices. - Dasheng Li; Georg Ramer; Phoebe Yeoh; Brian Hoskins; Yuanzhi Ma; James A. Bain; Andrea Centrone; Marek Skowronski (DRC, 2018)

A scalable method to find the shortest path in a graph with circuits of memristors. - Alice Mizrahi; Thomas Marsh; Brian Hoskins; Mark D. Stiles (CoRR, 2018)

Streaming Batch Eigenupdates for Hardware Neuromorphic Networks. - Brian D. Hoskins; Matthew W. Daniels; Siyuan Huang 002; Advait Madhavan; Gina C. Adam; Nikolai Zhitenev; Jabez J. McClelland; Mark D. Stiles (CoRR, 2019)

Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract). - Siyuan Huang 002; Brian D. Hoskins; Matthew W. Daniels; Mark D. Stiles; Gina C. Adam (AAAI, 2020)

Memory-efficient training with streaming dimensionality reduction. - Siyuan Huang 002; Brian D. Hoskins; Matthew W. Daniels; Mark D. Stiles; Gina C. Adam (CoRR, 2020)

A System for Validating Resistive Neural Network Prototypes. - Brian Hoskins; Wen Ma; Mitchell Fream; Osama Yousuf; Matthew W. Daniels; Jonathan Goodwill; Advait Madhavan; Hoang Tung; Mark Branstad; Muqing Liu; Rasmus Madsen; Jabez J. McClelland; et al. (ICONS, 2021)

Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions. - Jonathan M. Goodwill; Nitin Prasad; Brian D. Hoskins; Matthew W. Daniels; Advait Madhavan; Lei Wan; Tiffany S. Santos; Michael Tran; Jordan A. Katine; Patrick M. Braganca; Mark D. Stiles; Jabez J. McClelland (CoRR, 2021)

Effect of OTS Selector Reliabilities on NVM Crossbar-based Neuromorphic Training. - Wen Ma; Tung Thanh Hoang; Brian Hoskins; Matthew W. Daniels; Jabez J. McClelland; Yutong Gao 003; Gina C. Adam; Martin Lueker-Boden (IRPS, 2022)

Experimental demonstration of a robust training method for strongly defective neuromorphic hardware. - William A. Borders; Advait Madhavan; Matthew W. Daniels; Vasileia Georgiou; Martin Lueker-Boden; Tiffany S. Santos; Patrick M. Braganca; Mark D. Stiles; Jabez J. McClelland; Brian D. Hoskins (CoRR, 2023)

Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays. - Siyuan Huang 002; Brian D. Hoskins; Matthew W. Daniels; Mark D. Stiles; Gina C. Adam (ACM J. Emerg. Technol. Comput. Syst., 2023)

Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance. - Osama Yousuf; Brian Hoskins; Karthick Ramu; Mitchell Fream; William A. Borders; Advait Madhavan; Matthew W. Daniels; Andrew M. Dienstfrey; Jabez J. McClelland; Martin Lueker-Boden; Gina C. Adam (CoRR, 2024)