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2020 – today
- 2026
[i11]Nia Touko, Matthew O. A. Ellis
, Cristiano Capone, Alessio Burrello, Elisa Donati, Luca Manneschi:
Lightweight Test-Time Adaptation for EMG-Based Gesture Recognition. CoRR abs/2601.04181 (2026)- [i10]Cristiano Capone, Luca Falorsi, Andrea Ciardiello, Luca Manneschi:
Unified Policy Value Decomposition for Rapid Adaptation. CoRR abs/2603.17947 (2026) - [i9]Chao Han, Stefanos Ioannou, Luca Manneschi, Thomas J. Hayward, Michael Mangan, Aditya Gilra, Eleni Vasilaki:
Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning. CoRR abs/2603.23245 (2026) - [i8]Ian T. Vidamour, Fernando Aguirre, Thomas J. Hayward, Matthew O. A. Ellis, Charles Swindells, Alexander C. McDonnell, Martin Trefzer, Finley Robins, Luca Manneschi, Susan Stepney, Tony Kenyon, Oliver J. Sutton, Jack C. Gartside, Ivan Yu. Tyukin, Adnan Mehonic, Eleni Vasilaki:
Low-power analogue neural networks with trainable nonlinear connections for continuous control. CoRR abs/2606.23742 (2026) - 2025
- [j7]Luca Manneschi, Matthew O. A. Ellis:
Predicting physics efficiently with hybrid hardware. Nat. Comput. Sci. 5(12): 1104-1105 (2025) - [j6]Chao Han, Stefanos Ioannou, Luca Manneschi, Thomas J. Hayward, Michael Mangan, Aditya Gilra, Eleni Vasilaki:
Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning. Trans. Mach. Learn. Res. 2025 (2025) - [c1]Farah Baracat, Luca Manneschi, Elisa Donati:
Heterogeneous Population Encoding for Multi-joint Regression using sEMG Signals. NICE 2025: 1-6 - [i7]Farah Baracat, Luca Manneschi, Elisa Donati:
Heterogeneous Population Encoding for Multi-joint Regression using sEMG Signals. CoRR abs/2501.15347 (2025) - 2024
- [i6]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:
Optimising network interactions through device agnostic models. CoRR abs/2401.07387 (2024) - 2023
- [j5]Luca Manneschi, Andrew C. Lin, Eleni Vasilaki:
SpaRCe: Improved Learning of Reservoir Computing Systems Through Sparse Representations. IEEE Trans. Neural Networks Learn. Syst. 34(2): 824-838 (2023) - 2022
- [j4]Luca Manneschi, Guido Gigante, Eleni Vasilaki, Paolo Del Giudice:
Signal neutrality, scalar property, and collapsing boundaries as consequences of a learned multi-timescale strategy. PLoS Comput. Biol. 18(8) (2022) - [j3]Anil Özdemir, Mark Scerri, Andrew B. Barron, Andrew Philippides, Michael Mangan, Eleni Vasilaki, Luca Manneschi:
EchoVPR: Echo State Networks for Visual Place Recognition. IEEE Robotics Autom. Lett. 7(2): 4520-4527 (2022) - [i5]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:
A perspective on physical reservoir computing with nanomagnetic devices. CoRR abs/2212.04851 (2022) - 2021
- [i4]Luca Manneschi, Matthew O. A. Ellis, Guido Gigante, Andrew C. Lin, Paolo Del Giudice, Eleni Vasilaki:
Exploiting Multiple Timescales in Hierarchical Echo State Networks. CoRR abs/2101.04223 (2021) - [i3]Anil Özdemir, Andrew B. Barron, Andrew Philippides, Michael Mangan, Eleni Vasilaki, Luca Manneschi:
EchoVPR: Echo State Networks for Visual Place Recognition. CoRR abs/2110.05572 (2021) - 2020
- [j2]Luca Manneschi, Matthew O. A. Ellis, Guido Gigante, Andrew C. Lin, Paolo Del Giudice, Eleni Vasilaki:
Exploiting Multiple Timescales in Hierarchical Echo State Networks. Frontiers Appl. Math. Stat. 6: 616658 (2020) - [j1]Luca Manneschi, Eleni Vasilaki:
An alternative to backpropagation through time. Nat. Mach. Intell. 2(3): 155-156 (2020)
2010 – 2019
- 2019
- [i2]Luca Manneschi, Andrew C. Lin, Eleni Vasilaki:
Learning sparsity in reservoir computing through a novel bio-inspired algorithm. CoRR abs/1907.08600 (2019) - [i1]Luca Manneschi, Andrew C. Lin, Eleni Vasilaki:
SpaRCe: Sparse reservoir computing. CoRR abs/1912.08124 (2019)
Coauthor Index
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