Thomas J. Hayward

According to our database, Thomas J. Hayward authored at least 6 papers between 2021 and 2025.

Collaborative distances:

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

2025

Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning.

Chao Han, Stefanos Ioannou, Luca Manneschi, Thomas J. Hayward, Michael Mangan, Aditya Gilra, Eleni Vasilaki

Trans. Mach. Learn. Res., 2025

2024

Exploring physical and digital architectures in magnetic nanoring array reservoir computers.

Guru Venkat, Ian T. Vidamour, Charles Swindells, Paul W. Fry, M. C. Rosamond, M. Foerster, M. A Niño, David Griffin, Susan Stepney, Dan A. Allwood, Thomas J. Hayward

Neuromorph. Comput. Eng., 2024

Optimising network interactions through device agnostic models.

Luca Manneschi, Ian T. Vidamour, Kilian D. Stenning, Jack C. Gartside, Charles Swindells, Guru Venkat, David Griffin, Susan Stepney, Will R. Branford, Thomas J. Hayward, Matt O. Ellis, Eleni Vasilaki

CoRR, 2024

2023

Machine learning using magnetic stochastic synapses.

Matthew O. A. Ellis, Alex Welbourne, Stephan J. Kyle, Paul W. Fry, Dan A. Allwood, Thomas J. Hayward, Eleni Vasilaki

Neuromorph. Comput. Eng., June, 2023

2022

A perspective on physical reservoir computing with nanomagnetic devices.

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

CoRR, 2022

2021

Quantifying the Computational Capability of a Nanomagnetic Reservoir Computing Platform with Emergent Magnetization Dynamics.

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

CoRR, 2021