Brian Hoskins

According to our database, Brian Hoskins authored at least 18 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays.

Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam

ACM J. Emerg. Technol. Comput. Syst., April, 2023

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

2022

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, Gina C. Adam, Martin Lueker-Boden

Proceedings of the IEEE International Reliability Physics Symposium, 2022

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

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 Mclelland, Gina C. Adam, Martin Lueker-Boden

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

2020

Memory-efficient training with streaming dimensionality reduction.

Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam

CoRR, 2020

Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract).

Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Streaming Batch Eigenupdates for Hardware Neuromorphic Networks.

Brian D. Hoskins, Matthew W. Daniels, Siyuan Huang, Advait Madhavan, Gina C. Adam, Nikolai Zhitenev, Jabez J. McClelland, Mark D. Stiles

CoRR, 2019

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

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

Proceedings of the 76th Device Research Conference, 2018

2017

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

Proceedings of the 47th European Solid-State Device Research Conference, 2017

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Highly-uniform multi-layer ReRAM crossbar circuits.

Gina C. Adam, Brian D. Hoskins, Mirko Prezioso, Farnood Merrikh-Bayat, Bhaswar Chakrabarti, Dmitri B. Strukov

Proceedings of the 46th European Solid-State Device Research Conference, 2016

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

Three-Dimensional Stateful Material Implication Logic.

Gina C. Adam, Brian D. Hoskins, Mirko Prezioso, Dmitri B. Strukov

CoRR, 2015

2014

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

2013

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

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2013

2011

High-Precision Tuning of State for Memristive Devices by Adaptable Variation-Tolerant Algorithm

Fabien Alibart, Ligang Gao, Brian Hoskins, Dmitri B. Strukov

CoRR, 2011