Matthew O. A. Ellis

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 6

Top Topics

Receptive Fields

Stochastic Optimization

Machine Learning And Data Mining

Top Venues

Neuromorph. Comput. Eng.

Frontiers Appl. Math. Stat.

Publications

Matthew O. A. Ellis, Alex Welbourne, Stephan J. Kyle, Paul W. Fry, Dan A. Allwood, Thomas J. Hayward, Eleni Vasilaki
Machine learning using magnetic stochastic synapses. CoRR (2023)
Matthew O. A. Ellis, Alex Welbourne, Stephan J. Kyle, Paul W. Fry, Dan A. Allwood, Thomas J. Hayward, Eleni Vasilaki
Machine learning using magnetic stochastic synapses. Neuromorph. Comput. Eng. 3 (2) (2023)
Dan A. Allwood, Matthew O. A. Ellis, David Griffin, Thomas J. Hayward, Luca Manneschi, Mohammad F. KH Musameh, Simon O'Keefe, Susan Stepney, Charles Swindells, Martin A. Trefzer, Eleni Vasilaki, Guru Venkat, Ian T. Vidamour, Chester Wringe
A perspective on physical reservoir computing with nanomagnetic devices. CoRR (2022)
Luca Manneschi, Matthew O. A. Ellis, Guido Gigante, Andrew C. Lin, Paolo Del Giudice, Eleni Vasilaki
Exploiting Multiple Timescales in Hierarchical Echo State Networks. CoRR (2021)
Ian T. Vidamour, Matthew O. A. Ellis, David Griffin, Guru Venkat, Charles Swindells, Richard W. S. Dawidek, Thomas J. Broomhall, Nina-Juliane Steinke, Joshaniel F. K. Cooper, Francisco Maccherozzi, Sarnjeet S. Dhesi, Susan Stepney, Eleni Vasilaki, Dan A. Allwood, Thomas J. Hayward
Quantifying the Computational Capability of a Nanomagnetic Reservoir Computing Platform with Emergent Magnetization Dynamics. CoRR (2021)
Luca Manneschi, Matthew O. A. Ellis, Guido Gigante, Andrew C. Lin, Paolo Del Giudice, Eleni Vasilaki
Exploiting Multiple Timescales in Hierarchical Echo State Networks. Frontiers Appl. Math. Stat. 6 (2020)