Luca Manneschi

According to our database, Luca Manneschi authored at least 15 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Unified Policy Value Decomposition for Rapid Adaptation.

Cristiano Capone, Luca Falorsi, Andrea Ciardiello, Luca Manneschi

CoRR, March, 2026

Lightweight Test-Time Adaptation for EMG-Based Gesture Recognition.

Nia Touko, Matthew O. A. Ellis, Cristiano Capone, Alessio Burrello, Elisa Donati, Luca Manneschi

CoRR, January, 2026

2025

Predicting physics efficiently with hybrid hardware.

Luca Manneschi, Matthew O. A. Ellis

Nat. Comput. Sci., December, 2025

Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning.

Chao Han, Stefanos Ioannou, Luca Manneschi, Thomas J. Hayward, Michael Mangan, Aditya Gilra, Eleni Vasilaki

Trans. Mach. Learn. Res., 2025

Heterogeneous Population Encoding for Multi-joint Regression using sEMG Signals.

Farah Baracat, Luca Manneschi, Elisa Donati

Proceedings of the Neuro Inspired Computational Elements, 2025

2024

Optimising network interactions through device agnostic models.

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

CoRR, 2024

2023

SpaRCe: Improved Learning of Reservoir Computing Systems Through Sparse Representations.

Luca Manneschi, Andrew C. Lin, Eleni Vasilaki

IEEE Trans. Neural Networks Learn. Syst., February, 2023

2022

EchoVPR: Echo State Networks for Visual Place Recognition.

Anil Özdemir, Mark Scerri, Andrew B. Barron, Andrew Philippides, Michael Mangan, Eleni Vasilaki, Luca Manneschi

IEEE Robotics Autom. Lett., 2022

Signal neutrality, scalar property, and collapsing boundaries as consequences of a learned multi-timescale strategy.

Luca Manneschi, Guido Gigante, Eleni Vasilaki, Paolo Del Giudice

PLoS Comput. Biol., 2022

A perspective on physical reservoir computing with nanomagnetic devices.

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

CoRR, 2022

2021

EchoVPR: Echo State Networks for Visual Place Recognition.

Anil Özdemir, Andrew B. Barron, Andrew Philippides, Michael Mangan, Eleni Vasilaki, Luca Manneschi

CoRR, 2021

2020

An alternative to backpropagation through time.

Luca Manneschi, Eleni Vasilaki

Nat. Mach. Intell., 2020

Exploiting Multiple Timescales in Hierarchical Echo State Networks.

Luca Manneschi, Matthew O. A. Ellis, Guido Gigante, Andrew C. Lin, Paolo Del Giudice, Eleni Vasilaki

Frontiers Appl. Math. Stat., 2020

2019

SpaRCe: Sparse reservoir computing.

Luca Manneschi, Andrew C. Lin, Eleni Vasilaki

CoRR, 2019

Learning sparsity in reservoir computing through a novel bio-inspired algorithm.

Luca Manneschi, Andrew C. Lin, Eleni Vasilaki

CoRR, 2019