Items where authors include "Manneschi, L."

Article

Stenning, K.D. orcid.org/0000-0003-0955-3640, Gartside, J.C. orcid.org/0000-0002-7044-7399, Manneschi, L. et al. (10 more authors) (2024) Neuromorphic overparameterisation and few-shot learning in multilayer physical neural networks. Nature Communications, 15. 7377. ISSN 2041-1723

Vidamour, I.T. orcid.org/0000-0002-6909-2711, Swindells, C., Venkat, G. et al. (10 more authors) (2023) Reconfigurable reservoir computing in a magnetic metamaterial. Communications Physics, 6 (1). 230. ISSN 2399-3650

Allwood, D.A., Ellis, M.O.A. orcid.org/0000-0003-0338-8920, Griffin, D. orcid.org/0000-0002-4077-0005 et al. (11 more authors) (2023) A perspective on physical reservoir computing with nanomagnetic devices. Applied Physics Letters, 122 (4). 040501. ISSN 0003-6951

Manneschi, L., Gigante, G., Vasilaki, E. orcid.org/0000-0003-3705-7070 et al. (1 more author) (2022) Signal neutrality, scalar property, and collapsing boundaries as consequences of a learned multi-timescale strategy. PLoS Computational Biology, 18 (8). e1009393. ISSN 1553-734X

Ozdemir, A. orcid.org/0000-0003-0014-4699, Scerri, M. orcid.org/0000-0001-5740-037X, Barron, A.B. orcid.org/0000-0002-8135-6628 et al. (4 more authors) (2022) EchoVPR: Echo state networks for visual place recognition. IEEE Robotics and Automation Letters, 7 (2). pp. 4520-4527. ISSN 2377-3766

Ozdemir, A. orcid.org/0000-0003-0014-4699, Barron, A.B., Philippides, A. et al. (3 more authors) (2021) EchoVPR : echo state networks for visual place recognition. arXiv. (Submitted)

Manneschi, L., Ellis, M.O.A., Gigante, G. et al. (3 more authors) (2021) Exploiting multiple timescales in hierarchical echo state networks. Frontiers in Applied Mathematics and Statistics, 6. 616658. ISSN 2297-4687

Manneschi, L. and Vasilaki, E. orcid.org/0000-0003-3705-7070 (2020) An alternative to backpropagation through time. Nature Machine Intelligence, 2 (3). pp. 155-156.

Manneschi, L., Lin, A.C. and Vasilaki, E. orcid.org/0000-0003-3705-7070 (2019) SpaRCe : sparse reservoir computing. arXiv. (Submitted)

Manneschi, L., Lin, A.C. orcid.org/0000-0001-6310-9765 and Vasilaki, E. (2019) Learning sparsity in reservoir computing through a novel bio-inspired algorithm. arXiv. (Submitted)