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2020 – today
- 2024
[j2]Andrea Ceni
, Claudio Gallicchio:
Residual Echo State Networks: Residual recurrent neural networks with stable dynamics and fast learning. Neurocomputing 597: 127966 (2024)- [c9]Andrea Ceni, Andrea Cossu, Maximilian W. Stölzle, Jingyue Liu, Cosimo Della Santina, Davide Bacciu, Claudio Gallicchio:
Random Oscillators Network for Time Series Processing. AISTATS 2024: 4807-4815 - [c8]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:
EMERGE - Emergent Awareness from Minimal Collectives. ERF (1) 2024: 87-91 - [c7]Claudio Gallicchio, Andrea Ceni:
Reservoir Memory Networks. ESANN 2024 - [c6]Francesco Spinnato, Andrea Cossu, Riccardo Guidotti, Andrea Ceni, Claudio Gallicchio, Davide Bacciu:
Enhancing Echo State Networks with Gradient-based Explainability Methods. ESANN 2024 - [c5]Claudio Gallicchio, Andrea Ceni:
Non-dissipative Reservoir Computing Approaches for Time-Series Classification. ICANN (10) 2024: 106-116 - [c4]Andrea Ceni, Peter Ford Dominey, Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Domenico Tortorella:
Continuously Deep Recurrent Neural Networks. ECML/PKDD (7) 2024: 59-73 - 2023
- [c3]Andrea Ceni, Davide Bacciu, Valerio De Caro, Claudio Gallicchio, Luca Oneto:
Improving Fairness via Intrinsic Plasticity in Echo State Networks. ESANN 2023 - [c2]Claudio Gallicchio, Andrea Ceni:
Residual Reservoir Computing Neural Networks for Time-series Classification. ESANN 2023 - [i4]Andrea Ceni, Claudio Gallicchio:
Edge of stability echo state networks. CoRR abs/2308.02902 (2023) - [i3]Peter Ashwin, Andrea Ceni:
Transitions in echo index and dependence on input repetitions. CoRR abs/2309.04728 (2023) - 2022
- [c1]Andrea Ceni, Claudio Gallicchio:
Orthogonality in Additive Echo State Networks. ESANN 2022 - [i2]Andrea Ceni:
Random orthogonal additive filters: a solution to the vanishing/exploding gradient of deep neural networks. CoRR abs/2210.01245 (2022) - 2021
- [b1]Andrea Ceni:
Interpreting multi-stable behaviour in input-driven recurrent neural networks. University of Exeter, UK, 2021 - 2020
- [j1]Andrea Ceni, Peter Ashwin, Lorenzo Livi:
Interpreting Recurrent Neural Networks Behaviour via Excitable Network Attractors. Cogn. Comput. 12(2): 330-356 (2020)
2010 – 2019
- 2018
- [i1]Andrea Ceni, Peter Ashwin, Lorenzo Livi:
Interpreting RNN behaviour via excitable network attractors. CoRR abs/1807.10478 (2018)
Coauthor Index
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