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ORCIDMatthew O. A. Ellis
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2020 – today
- 2023
[j2]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): 21001 (2023)- [i4]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 abs/2303.01886 (2023) - 2022
- [i3]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 abs/2212.04851 (2022) - 2021
- [i2]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 abs/2101.04223 (2021) - [i1]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 abs/2111.14603 (2021) - 2020
- [j1]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: 616658 (2020)
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