Professor Eleni Vasilaki

简介

I am Professor of Bioinspired Machine Learning at the University of Sheffield. My research combines computational neuroscience, machine learning, and neuromorphic engineering to understand how biological systems achieve efficient and adaptive intelligence, and to use these insights in brain-inspired computing. Recent work in my group focuses on brain-inspired learning algorithms, physical and device-based neural networks, and emerging neuromorphic technologies for efficient artificial intelligence.

代表成果

• Taglietti F, Pulici A, Roxburgh M, Seguini G, Vidamour I, Menzel S, Franco E, Laus M, Vasilaki E, Perego M , Hayward TJ et al (2026) Learning Nonlinear Heterogeneity in Physical Kolmogorov-Arnold Networks.. CoRR, abs/2601.15340.
• 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
• Vasilaki E (2025) In Dialogue with Intelligence: Rethinking Large Language Models as Collective Knowledge.. CoRR, abs/2505.22767.
• Han C, Ioannou S, Manneschi L, Hayward TJ, Mangan M, Gilra A & Vasilaki E (2025) Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning. Transactions on Machine Learning Research, 2025-October.
• 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, Vidamour IT, Stenning KD, Gartside JC, Swindells C, Venkat G, Griffin D, Stepney S, Branford WR, Hayward TJ , Ellis MO et al (2024) Optimising network interactions through device agnostic models.. CoRR, abs/2401.07387.
• Mehonic A, Frenkel C & Vasilaki E (2023) Editorial: Focus issue on energy-efficient neuromorphic devices, systems and algorithms.. Neuromorph. Comput. Eng., 3, 40201-40201.
• Mehonic A, Frenkel C & Vasilaki E (2023) Editorial: Focus issue on energy-efficient neuromorphic devices, systems and algorithms. Neuromorphic Computing and Engineering, 3(4). View this article in WRRO
• Vidamour IT, Swindells C, Venkat G, Manneschi L, Fry PW, Welbourne A, Rowan-Robinson RM, Backes D, Maccherozzi F, Dhesi SS , Vasilaki E et al (2023) Reconfigurable reservoir computing in a magnetic metamaterial. Communications Physics, 6(1). View this article in WRRO
• Ellis MOA, Welbourne A, Kyle SJ, Fry PW, Allwood DA, Hayward TJ & Vasilaki E (2023) Machine learning using magnetic stochastic synapses.. Neuromorph. Comput. Eng., 3, 21001-21001.