Streaming Batch Eigenupdates for Hardware Neuromorphic Networks. - Brian D. Hoskins; Matthew W. Daniels; Siyuan Huang 002; Advait Madhavan; Gina C. Adam; Nikolai Zhitenev; Jabez J. McClelland; Mark D. Stiles (CoRR, 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 Gradient Tracking for Neural Network Training (Student Abstract). - Siyuan Huang 002; Brian D. Hoskins; Matthew W. Daniels; Mark D. Stiles; Gina C. Adam (AAAI, 2020)

Memory-efficient training with streaming dimensionality reduction. - Siyuan Huang 002; Brian D. Hoskins; Matthew W. Daniels; Mark D. Stiles; Gina C. Adam (CoRR, 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)

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 J. McClelland; et al. (ICONS, 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)

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)

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)

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)

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 003; Gina C. Adam; Martin Lueker-Boden (IRPS, 2022)

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)

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)

Device Modeling Bias in ReRAM-Based Neural Network Simulations. - Osama Yousuf; Imtiaz Hossen; Matthew W. Daniels; Martin Lueker-Boden; Andrew M. Dienstfrey; Gina C. Adam (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays. - Siyuan Huang 002; Brian D. Hoskins; Matthew W. Daniels; Mark D. Stiles; Gina C. Adam (ACM J. Emerg. Technol. Comput. Syst., 2023)

Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance. - 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 (CoRR, 2024)

Sampling from exponential distributions in the time domain with superparamagnetic tunnel junctions. - 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 (CoRR, 2024)