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2020 – today
- 2024
[i12]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 abs/2404.15621 (2024)- 2023
- [j3]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): 382-394 (2023) - [j2]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): 16:1-16:24 (2023) - [i11]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 abs/2312.06446 (2023) - [i10]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 abs/2312.13171 (2023) - 2022
- [c3]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: 35-1 - [i9]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 abs/2211.15925 (2022) - 2021
- [j1]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): 28:1-28:27 (2021) - [c2]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:
A System for Validating Resistive Neural Network Prototypes. ICONS 2021: 26:1-26:5 - [i8]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 abs/2106.03604 (2021) - [i7]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 abs/2110.06737 (2021) - [i6]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 abs/2112.09159 (2021) - 2020
- [c1]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: 13813-13814 - [i5]Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam:
Memory-efficient training with streaming dimensionality reduction. CoRR abs/2004.12041 (2020) - [i4]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 abs/2005.10704 (2020) - [i3]Advait Madhavan, Matthew W. Daniels, Mark D. Stiles:
Temporal State Machines: Using temporal memory to stitch time-based graph computations. CoRR abs/2009.14243 (2020)
2010 – 2019
- 2019
- [i2]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 abs/1903.01635 (2019) - [i1]Matthew W. Daniels, Advait Madhavan, Philippe Talatchian, Alice Mizrahi, Mark D. Stiles:
Energy-efficient stochastic computing with superparamagnetic tunnel junctions. CoRR abs/1911.11204 (2019)
Coauthor Index
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