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20142026
most citedReconfigurable Training and Reservoir Computing in an Artificial Spin-Vortex Ice via Spin-Wave Fingerprinting

190 citations · 687 across the 27 of their papers we have counts for

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2 papers · 1 filter

cs.LG2026

Low-power analogue neural networks with trainable nonlinear connections for continuous control

Ian T. Vidamour, Fernando Aguirre, Thomas J. Hayward +13

Physical neural networks promise low-power machine learning by computing directly with analogue device physics, but most architectures force nonlinear device responses to act as sc…

cs.LG2024★ 1 cited

Noise-Aware Training of Neuromorphic Dynamic Device Networks

Luca Manneschi, Ian T. Vidamour, Kilian D. Stenning +13

Physical computing has the potential to enable widespread embodied intelligence by leveraging the intrinsic dynamics of complex systems for efficient sensing, processing, and inter…