Matthew W. Daniels

19 papers A* 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance.
CoRR
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
2024 J jnl
Sampling from exponential distributions in the time domain with superparamagnetic tunnel junctions.
CoRR
Temitayo N. Adeyeye, Sidra Gibeault, Daniel P. Lathrop, Matthew W. Daniels, Mark D. Stiles, Jabez J. McClelland, William A. Borders, Jason T. Ryan, Philippe Talatchian, Ursula Ebels, Advait Madhavan
2023 J jnl
Device Modeling Bias in ReRAM-Based Neural Network Simulations.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Osama Yousuf, Imtiaz Hossen, Matthew W. Daniels, Martin Lueker-Boden, Andrew M. Dienstfrey, Gina C. Adam
2023 J jnl
Experimental demonstration of a robust training method for strongly defective neuromorphic hardware.
CoRR
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
2023 J jnl
Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays.
ACM J. Emerg. Technol. Comput. Syst.
Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam
2023 J jnl
Programmable electrical coupling between stochastic magnetic tunnel junctions.
CoRR
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
2022 J jnl
Device Modeling Bias in ReRAM-based Neural Network Simulations.
CoRR
Osama Yousuf, Imtiaz Hossen, Matthew W. Daniels, Martin Lueker-Boden, Andrew M. Dienstfrey, Gina C. Adam
2022 — conf
Effect of OTS Selector Reliabilities on NVM Crossbar-based Neuromorphic Training.
IRPS
Wen Ma, Tung Thanh Hoang, Brian Hoskins, Matthew W. Daniels, Jabez J. McClelland, Yutong Gao, Gina C. Adam, Martin Lueker-Boden
2021 — conf
A System for Validating Resistive Neural Network Prototypes.
ICONS
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, Gina C. Adam, Martin Lueker-Boden
2021 J jnl
Easy-plane spin Hall nano-oscillators as spiking neurons for neuromorphic computing.
CoRR
Danijela Markovic, Matthew W. Daniels, Pankaj Sethi, Andrew D. Kent, Mark D. Stiles, Julie Grollier
2021 J jnl
Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions.
CoRR
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
2021 J jnl
Mutual control of stochastic switching for two electrically coupled superparamagnetic tunnel junctions.
CoRR
Philippe Talatchian, Matthew W. Daniels, Advait Madhavan, Matthew R. Pufall, Emilie Jué, William H. Rippard, Jabez J. McClelland, Mark D. Stiles
2021 J jnl
Temporal State Machines: Using Temporal Memory to Stitch Time-based Graph Computations.
ACM J. Emerg. Technol. Comput. Syst.
Advait Madhavan, Matthew W. Daniels, Mark D. Stiles
2020 J jnl
Memory-efficient training with streaming dimensionality reduction.
CoRR
Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam
2020 A* conf
Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract).
AAAI
Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam
2020 J jnl
Temporal Memory with Magnetic Racetracks.
CoRR
Hamed Vakili, Mohammad Nazmus Sakib, Samiran Ganguly, Mircea Stan, Matthew W. Daniels, Advait Madhavan, Mark D. Stiles, Avik W. Ghosh
2020 J jnl
Temporal State Machines: Using temporal memory to stitch time-based graph computations.
CoRR
Advait Madhavan, Matthew W. Daniels, Mark D. Stiles
2019 J jnl
Energy-efficient stochastic computing with superparamagnetic tunnel junctions.
CoRR
Matthew W. Daniels, Advait Madhavan, Philippe Talatchian, Alice Mizrahi, Mark D. Stiles
2019 J jnl
Streaming Batch Eigenupdates for Hardware Neuromorphic Networks.
CoRR
Brian D. Hoskins, Matthew W. Daniels, Siyuan Huang, Advait Madhavan, Gina C. Adam, Nikolai Zhitenev, Jabez J. McClelland, Mark D. Stiles