Matthew W. Daniels

According to our database, Matthew W. Daniels authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• 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

Device Modeling Bias in ReRAM-Based Neural Network Simulations.

Osama Yousuf, Imtiaz Hossen, Matthew W. Daniels, Martin Lueker-Boden, Andrew Dienstfrey, Gina C. Adam

IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

Programmable electrical coupling between stochastic magnetic tunnel junctions.

Sidra Gibeault, Temitayo N. Adeyeye, Liam A. Pocher, Daniel P. Lathrop, Matthew W. Daniels, Mark D. Stiles, Jabez J. McClelland, William A. Borders, Jason T. Ryan, Philippe Talatchian, Ursula Ebels, Advait Madhavan

CoRR, 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

Temporal State Machines: Using Temporal Memory to Stitch Time-based Graph Computations.

Advait Madhavan, Matthew W. Daniels, Mark D. Stiles

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

Easy-plane spin Hall nano-oscillators as spiking neurons for neuromorphic computing.

Danijela Markovic, Matthew W. Daniels, Pankaj Sethi, Andrew D. Kent, Mark D. Stiles, Julie Grollier

CoRR, 2021

Mutual control of stochastic switching for two electrically coupled superparamagnetic tunnel junctions.

Philippe Talatchian, Matthew W. Daniels, Advait Madhavan, Matthew R. Pufall, Emilie Jué, William H. Rippard, Jabez J. McClelland, Mark D. Stiles

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

Temporal Memory with Magnetic Racetracks.

Hamed Vakili, Mohammad Nazmus Sakib, Samiran Ganguly, Mircea Stan, Matthew W. Daniels, Advait Madhavan, Mark D. Stiles, Avik W. Ghosh

CoRR, 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

Energy-efficient stochastic computing with superparamagnetic tunnel junctions.

Matthew W. Daniels, Advait Madhavan, Philippe Talatchian, Alice Mizrahi, Mark D. Stiles

CoRR, 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