Andrea Ceni

According to our database, Andrea Ceni authored at least 21 papers between 2018 and 2025.

Collaborative distances:

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

2025

Residual Reservoir Memory Networks.

Matteo Pinna, Andrea Ceni, Claudio Gallicchio

CoRR, August, 2025

Random Orthogonal Additive Filters: A Solution to the Vanishing/Exploding Gradient of Deep Neural Networks.

Andrea Ceni

IEEE Trans. Neural Networks Learn. Syst., June, 2025

Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling.

Andrea Ceni, Alessio Gravina, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb, Moshe Eliasof

CoRR, May, 2025

Edge of Stability Echo State Network.

Andrea Ceni, Claudio Gallicchio

IEEE Trans. Neural Networks Learn. Syst., April, 2025

GRAMA: Adaptive Graph Autoregressive Moving Average Models.

Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb

CoRR, January, 2025

2024

Residual Echo State Networks: Residual recurrent neural networks with stable dynamics and fast learning.

Andrea Ceni, Claudio Gallicchio

Neurocomputing, 2024

Continuously Deep Recurrent Neural Networks.

Andrea Ceni, Peter Ford Dominey, Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Domenico Tortorella

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Non-dissipative Reservoir Computing Approaches for Time-Series Classification.

Claudio Gallicchio, Andrea Ceni

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Enhancing Echo State Networks with Gradient-based Explainability Methods.

Francesco Spinnato, Andrea Cossu, Riccardo Guidotti, Andrea Ceni, Claudio Gallicchio, Davide Bacciu

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

Reservoir Memory Networks.

Claudio Gallicchio, Andrea Ceni

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

EMERGE - Emergent Awareness from Minimal Collectives.

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

Proceedings of the European Robotics Forum 2024, 2024

Random Oscillators Network for Time Series Processing.

Andrea Ceni, Andrea Cossu, Maximilian W. Stölzle, Jingyue Liu, Cosimo Della Santina, Davide Bacciu, Claudio Gallicchio

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks.

Andrea Cossu, Andrea Ceni, Davide Bacciu, Claudio Gallicchio

Proceedings of the 4th International Conference on AI-ML Systems, 2024

2023

Transitions in echo index and dependence on input repetitions.

Peter Ashwin, Andrea Ceni

CoRR, 2023

Edge of stability echo state networks.

Andrea Ceni, Claudio Gallicchio

CoRR, 2023

Residual Reservoir Computing Neural Networks for Time-series Classification.

Claudio Gallicchio, Andrea Ceni

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Improving Fairness via Intrinsic Plasticity in Echo State Networks.

Andrea Ceni, Davide Bacciu, Valerio De Caro, Claudio Gallicchio, Luca Oneto

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Orthogonality in Additive Echo State Networks.

Andrea Ceni, Claudio Gallicchio

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Interpreting multi-stable behaviour in input-driven recurrent neural networks

Andrea Ceni

PhD thesis, 2021

2020

Interpreting Recurrent Neural Networks Behaviour via Excitable Network Attractors.

Andrea Ceni, Peter Ashwin, Lorenzo Livi

Cogn. Comput., 2020

2018

Interpreting RNN behaviour via excitable network attractors.

Andrea Ceni, Peter Ashwin, Lorenzo Livi

CoRR, 2018