Spintronic nano-devices for bio-inspired computing. - Julie Grollier; Damien Querlioz; Mark D. Stiles (CoRR, 2016)

Spintronic Nanodevices for Bioinspired Computing. - Julie Grollier; Damien Querlioz; Mark D. Stiles (Proc. IEEE, 2016)

Spintronics [Scanning the Issue]. - Hideo Ohno; Mark D. Stiles; Bernard Dieny (Proc. IEEE, 2016)

Neuromorphic computing with nanoscale spintronic oscillators. - Jacob Torrejon; Mathieu Riou; Flavio Abreu Araujo; Sumito Tsunegi; Guru Khalsa; Damien Querlioz; Paolo Bortolotti; Vincent Cros; Akio Fukushima; Hitoshi Kubota; Shinji Yuasa; Mark D. Stiles; et al. (CoRR, 2017)

Overcoming device unreliability with continuous learning in a population coding based computing system. - Alice Mizrahi; Julie Grollier; Damien Querlioz; Mark D. Stiles (CoRR, 2018)

A scalable method to find the shortest path in a graph with circuits of memristors. - Alice Mizrahi; Thomas Marsh; Brian Hoskins; Mark D. Stiles (CoRR, 2018)

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)

Neuromorphic Computing through Time-Multiplexing with a Spin-Torque Nano-Oscillator. - Mathieu Riou; Flavio Abreu Araujo; Jacob Torrejon; Sumito Tsunegi; Guru Khalsa; Damien Querlioz; Paolo Bortolotti; Vincent Cros; Kay Yakushiji; Akio Fukushima; Hitoshi Kubota; Shinji Yuasa; et al. (CoRR, 2019)

Role of non-linear data processing on speech recognition task in the framework of reservoir computing. - Flavio Abreu Araujo; Mathieu Riou; Jacob Torrejon; Sumito Tsunegi; Damien Querlioz; Kay Yakushiji; Akio Fukushima; Hitoshi Kubota; Shinji Yuasa; Mark D. Stiles; Julie Grollier (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)

Storing and Retrieving Wavefronts with Resistive Temporal Memory. - Advait Madhavan; Mark D. Stiles (ISCAS, 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)

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)

Reservoir Computing Leveraging the Transient Non-linear Dynamics of Spin-Torque Nano-Oscillators. - Mathieu Riou; Jacob Torrejon; Flavio Abreu Araujo; Sumito Tsunegi; Guru Khalsa; Damien Querlioz; Paolo Bortolotti; Nathan Leroux; Danijela Markovic; Vincent Cros; Kay Yakushiji; Akio Fukushima; et al. (Reservoir Computing, 2021)

Quantum materials for energy-efficient neuromorphic computing. - Axel Hoffmann; Shriram Ramanathan; Julie Grollier; Andrew D. Kent; Marcelo Rozenberg; Ivan K. Schuller; Oleg Shpyrko; Robert Dynes; Yeshaiahu Fainman; Alex Frano; Eric E. Fullerton; Giulia Galli; et al. (CoRR, 2022)

Associative memories using complex-valued Hopfield networks based on spin-torque oscillator arrays. - Nitin Prasad; Prashansa Mukim; Advait Madhavan; Mark D. Stiles (Neuromorph. Comput. Eng., 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)

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)

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)