Dr Luca Manneschi

About

I received my undergraduate degree in Physics at The University of Padua (Italy), and my Masters degree at La Sapienza, University of Rome. Then, I joined the University of Sheffield as a PhD student under the supervision of Prof. Eleni Vasilaki. In December 2021, I completed my PhD and worked for a few months as a PostDoc at the University of Sheffield. Having been here since March 2022, I am now a Lecturer in Machine Learning.

Selected publications

• Manneschi L, Vidamour IT, Stenning KD, Swindells C, Venkat G, Griffin D, Gui L, Sonawala D, Donskikh D, Hariga D , Donati E et al (2025) Noise-aware training of neuromorphic dynamic device networks. Nature Communications, 16(1). View this article in WRRO
• Stenning KD, Gartside JC, Manneschi L, Cheung CTS, Chen T, Vanstone A, Love J, Holder H, Caravelli F, Kurebayashi H , Everschor-Sitte K et al (2024) Neuromorphic overparameterisation and few-shot learning in multilayer physical neural networks. Nature Communications, 15. View this article in WRRO
• Manneschi L, Lin AC & Vasilaki E (2023) SpaRCe: Improved Learning of Reservoir Computing Systems Through Sparse Representations.. IEEE Trans. Neural Networks Learn. Syst., 34, 824-838.
• Manneschi L & Ellis MOA () Predicting physics efficiently with hybrid hardware. Nature Computational Science.
• Vidamour I, Manneschi L & Ellis M Research data for 'Noise-Aware Training of Neuromorphic Dynamic Device Networks'..
• Han C, Ioannou S, Manneschi L, Hayward TJ, Mangan M, Gilra A & Vasilaki E (2026) Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning, arXiv.
• Vidamour I, Swindells C, Venkat G, Manneschi L, Fry P, Welbourne A, Rowan-Robinson R, Backes D, Maccherozzi F, Dhesi S , Vasilaki E et al (2023) Reconfigurable Reservoir Computing in a Magnetic Metamaterial, arXiv.