Andrea Ceni

29 papers A* 1A 1B 6C 1Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
ParalESN: Enabling parallel information processing in Reservoir Computing.
CoRR
Matteo Pinna, Giacomo Lagomarsini, Andrea Ceni, Claudio Gallicchio
2026 J jnl
Sparse assemblies of recurrent neural networks with stability guarantees.
Neurocomputing
Andrea Ceni, Valerio De Caro, Davide Bacciu, Claudio Gallicchio
2025 — conf
Benchmarking Nonlinear Readouts in Linear Reservoir Networks.
ICANN (5)
Giacomo Lagomarsini, Andrea Ceni, Claudio Gallicchio
2025 J jnl
Deep Residual Echo State Networks: exploring residual orthogonal connections in untrained Recurrent Neural Networks.
CoRR
Matteo Pinna, Andrea Ceni, Claudio Gallicchio
2025 C conf
Direct Feedback Alignment for Recurrent Neural Networks.
ISC
Sara Folchini, Andrea Cossu, Andrea Ceni, Vincenzo Lomonaco, Davide Bacciu, Claudio Gallicchio
2025 J jnl
Edge of Stability Echo State Network.
IEEE Trans. Neural Networks Learn. Syst.
Andrea Ceni, Claudio Gallicchio
2025 J jnl
GRAMA: Adaptive Graph Autoregressive Moving Average Models.
CoRR
Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
2025 A* conf
Graph Adaptive Autoregressive Moving Average Models.
ICML
Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
2025 J jnl
Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling.
CoRR
Andrea Ceni, Alessio Gravina, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb, Moshe Eliasof
2025 J jnl
Random Orthogonal Additive Filters: A Solution to the Vanishing/Exploding Gradient of Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Andrea Ceni
2025 B conf
Residual Reservoir Memory Networks.
IJCNN
Matteo Pinna, Andrea Ceni, Claudio Gallicchio
2025 J jnl
Residual Reservoir Memory Networks.
CoRR
Matteo Pinna, Andrea Ceni, Claudio Gallicchio
2024 — conf
Continuously Deep Recurrent Neural Networks.
ECML/PKDD (7)
Andrea Ceni, Peter Ford Dominey, Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Domenico Tortorella
2024 — conf
EMERGE - Emergent Awareness from Minimal Collectives.
ERF (1)
Davide Bacciu, Vincenzo Ambriola, Bahador Bahrami, Andrea Ceni, Andrea Cossu, Valerio De Caro, Cosimo Della Santina, Ophelia Deroy, Claudio Gallicchio, Riccardo Guidotti, Sabine Hauert, Simon Jones, Jurgis Karpus, Suet Lee, Jingyue Liu, Vincenzo Lomonaco, Nadine Meertens, Emma Milner, Anna Monreale, Renan Picoreti Nakahara, Mariano Ramírez Montero, Ebrahim Shahabi, Maximilian Stölzle
2024 B conf
Enhancing Echo State Networks with Gradient-based Explainability Methods.
ESANN
Francesco Spinnato, Andrea Cossu, Riccardo Guidotti, Andrea Ceni, Claudio Gallicchio, Davide Bacciu
2024 — conf
Non-dissipative Reservoir Computing Approaches for Time-Series Classification.
ICANN (10)
Claudio Gallicchio, Andrea Ceni
2024 A conf
Random Oscillators Network for Time Series Processing.
AISTATS
Andrea Ceni, Andrea Cossu, Maximilian W. Stölzle, Jingyue Liu, Cosimo Della Santina, Davide Bacciu, Claudio Gallicchio
2024 B conf
Reservoir Memory Networks.
ESANN
Claudio Gallicchio, Andrea Ceni
2024 J jnl
Residual Echo State Networks: Residual recurrent neural networks with stable dynamics and fast learning.
Neurocomputing
Andrea Ceni, Claudio Gallicchio
2024 — conf
Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks.
AIMLSystems
Andrea Cossu, Andrea Ceni, Davide Bacciu, Claudio Gallicchio
2023 J jnl
Edge of stability echo state networks.
CoRR
Andrea Ceni, Claudio Gallicchio
2023 B conf
Improving Fairness via Intrinsic Plasticity in Echo State Networks.
ESANN
Andrea Ceni, Davide Bacciu, Valerio De Caro, Claudio Gallicchio, Luca Oneto
2023 B conf
Residual Reservoir Computing Neural Networks for Time-series Classification.
ESANN
Claudio Gallicchio, Andrea Ceni
2023 J jnl
Transitions in echo index and dependence on input repetitions.
CoRR
Peter Ashwin, Andrea Ceni
2022 B conf
Orthogonality in Additive Echo State Networks.
ESANN
Andrea Ceni, Claudio Gallicchio
2022 J jnl
Random orthogonal additive filters: a solution to the vanishing/exploding gradient of deep neural networks.
CoRR
Andrea Ceni
2021 — —
Interpreting multi-stable behaviour in input-driven recurrent neural networks
Andrea Ceni
2020 J jnl
Interpreting Recurrent Neural Networks Behaviour via Excitable Network Attractors.
Cogn. Comput.
Andrea Ceni, Peter Ashwin, Lorenzo Livi
2018 J jnl
Interpreting RNN behaviour via excitable network attractors.
CoRR
Andrea Ceni, Peter Ashwin, Lorenzo Livi