Matthew W. Daniels

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Spatial Locality

Spiking Neurons

Jump Diffusion Process

Top Venues

ACM J. Emerg. Technol. Comput. Syst.

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

Osama Yousuf, Brian Hoskins, Karthick Ramu, Mitchell Fream, William A. Borders, Advait Madhavan, Matthew W. Daniels, Andrew Dienstfrey, Jabez J. McClelland, Martin Lueker-Boden, Gina C. Adam
Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance. CoRR (2024)
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
Experimental demonstration of a robust training method for strongly defective neuromorphic hardware. CoRR (2023)
Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam
Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays. ACM J. Emerg. Technol. Comput. Syst. 19 (2) (2023)
Osama Yousuf, Imtiaz Hossen, Matthew W. Daniels, Martin Lueker-Boden, Andrew Dienstfrey, Gina C. Adam
Device Modeling Bias in ReRAM-Based Neural Network Simulations. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (1) (2023)
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
Programmable electrical coupling between stochastic magnetic tunnel junctions. CoRR (2023)
Wen Ma, Tung Thanh Hoang, Brian Hoskins, Matthew W. Daniels, Jabez J. McClelland, Yutong Gao, Gina C. Adam, Martin Lueker-Boden
Effect of OTS Selector Reliabilities on NVM Crossbar-based Neuromorphic Training. IRPS (2022)
Osama Yousuf, Imtiaz Hossen, Matthew W. Daniels, Martin Lueker-Boden, Andrew Dienstfrey, Gina C. Adam
Device Modeling Bias in ReRAM-based Neural Network Simulations. CoRR (2022)
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
Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions. CoRR (2021)
Philippe Talatchian, Matthew W. Daniels, Advait Madhavan, Matthew R. Pufall, Emilie Jué, William H. Rippard, Jabez J. McClelland, Mark D. Stiles
Mutual control of stochastic switching for two electrically coupled superparamagnetic tunnel junctions. CoRR (2021)
Advait Madhavan, Matthew W. Daniels, Mark D. Stiles
Temporal State Machines: Using Temporal Memory to Stitch Time-based Graph Computations. ACM J. Emerg. Technol. Comput. Syst. 17 (3) (2021)
Danijela Markovic, Matthew W. Daniels, Pankaj Sethi, Andrew D. Kent, Mark D. Stiles, Julie Grollier
Easy-plane spin Hall nano-oscillators as spiking neurons for neuromorphic computing. CoRR (2021)
Hamed Vakili, Mohammad Nazmus Sakib, Samiran Ganguly, Mircea Stan, Matthew W. Daniels, Advait Madhavan, Mark D. Stiles, Avik W. Ghosh
Temporal Memory with Magnetic Racetracks. CoRR (2020)
Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam
Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract). AAAI (2020)
Advait Madhavan, Matthew W. Daniels, Mark D. Stiles
Temporal State Machines: Using temporal memory to stitch time-based graph computations. CoRR (2020)
Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam
Memory-efficient training with streaming dimensionality reduction. CoRR (2020)
Brian D. Hoskins, Matthew W. Daniels, Siyuan Huang, Advait Madhavan, Gina C. Adam, Nikolai Zhitenev, Jabez J. McClelland, Mark D. Stiles
Streaming Batch Eigenupdates for Hardware Neuromorphic Networks. CoRR (2019)
Matthew W. Daniels, Advait Madhavan, Philippe Talatchian, Alice Mizrahi, Mark D. Stiles
Energy-efficient stochastic computing with superparamagnetic tunnel junctions. CoRR (2019)