Mark D. Stiles

According to our database, Mark D. Stiles authored at least 24 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays.

Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam

ACM J. Emerg. Technol. Comput. Syst., April, 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

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

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

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, Vitaliy Lomakin, Shyue Ping Ong, Amanda K. Petford-Long, Jonathan A. Schuller, Mark D. Stiles, Yayoi Takamura, Yimei Zhu

CoRR, 2022

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, Hitoshi Kubota, Shinji Yuasa, Mark D. Stiles, Julie Grollier

Proceedings of the Reservoir Computing, 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

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

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

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

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

Memory-efficient training with streaming dimensionality reduction.

Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam

CoRR, 2020

Storing and Retrieving Wavefronts with Resistive Temporal Memory.

Advait Madhavan, Mark D. Stiles

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract).

Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Energy-efficient stochastic computing with superparamagnetic tunnel junctions.

Matthew W. Daniels, Advait Madhavan, Philippe Talatchian, Alice Mizrahi, Mark D. Stiles

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

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, Mark D. Stiles, Julie Grollier

CoRR, 2019

Streaming Batch Eigenupdates for Hardware Neuromorphic Networks.

Brian D. Hoskins, Matthew W. Daniels, Siyuan Huang, Advait Madhavan, Gina C. Adam, Nikolai Zhitenev, Jabez J. McClelland, Mark D. Stiles

CoRR, 2019

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

Overcoming device unreliability with continuous learning in a population coding based computing system.

Alice Mizrahi, Julie Grollier, Damien Querlioz, Mark D. Stiles

CoRR, 2018

2017

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, Julie Grollier

CoRR, 2017

2016

Spintronics [Scanning the Issue].

Hideo Ohno, Mark D. Stiles, Bernard Dieny

Proc. IEEE, 2016

Spintronic Nanodevices for Bioinspired Computing.

Julie Grollier, Damien Querlioz, Mark D. Stiles

Proc. IEEE, 2016

Spintronic nano-devices for bio-inspired computing.

Julie Grollier, Damien Querlioz, Mark D. Stiles

CoRR, 2016