GALLICCHIO, CLAUDIO Statistiche
GALLICCHIO, CLAUDIO
DIPARTIMENTO DI INFORMATICA
Hierarchical temporal representation in linear reservoir computing
In corso di stampa Gallicchio, Claudio; Micheli, Alessio; Pedrelli, Luca
Benchmarking Nonlinear Readouts in Linear Reservoir Networks
2026-01-01 Lagomarsini, Giacomo; Ceni, Andrea; Gallicchio, Claudio
Hardware friendly deep reservoir computing
2025-01-01 Gallicchio, Claudio; Soriano, Miguel C.
Non-dissipative Propagation by Randomized Anti-symmetric Deep Graph Networks
2025-01-01 Gravina, A.; Gallicchio, C.; Bacciu, D.
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
2025-01-01 Gravina, A.; Eliasof, M.; Gallicchio, C.; Bacciu, D.; Schonlieb, C. -B.
Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
2025-01-01 Heilig, Simon; Gravina, Alessio; Trenta, Alessandro; Gallicchio, Claudio; Bacciu, Davide
Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks
2025-01-01 Cossu, A.; Ceni, A.; Bacciu, D.; Gallicchio, C.
Continuously Deep Recurrent Neural Networks
2024-01-01 Ceni, Andrea; Ford Dominey, Peter; Gallicchio, Claudio; Micheli, Alessio; Pedrelli, Luca; Tortorella, Domenico
Decentralized Incremental Federated Learning with Echo State Networks
2024-01-01 Pompei, G.; Dazzi, P.; De Caro, V.; Gallicchio, C.
Deep Echo State Networks for Modelling of Industrial Systems
2024-01-01 Rodriguez-Ossorio, J. R.; Gallicchio, C.; Moran, A.; Diaz, I.; Fuertes, J. J.; Dominguez, M.
Edge of Stability Echo State Network
2024-01-01 Ceni, A.; Gallicchio, C.
EMERGE - Emergent Awareness from Minimal Collectives
2024-01-01 Bacciu, Davide; Ambriola, Vincenzo; Bahrami, Bahador; Ceni, Andrea; Cossu, Andrea; De Caro, Valerio; Della Santina, Cosimo; Deroy, Ophelia; Gallicchio, Claudio; Guidotti, Riccardo; Hauert, Sabine; Jones, Simon; Karpus, Jurgis; Lee, Suet; Liu, Jingyue; Lomonaco, Vincenzo; Meertens, Nadine; Milner, Emma; Monreale, Anna; Nakahara, Renan Picoreti; Ramirez, Mariano; Shahabi, Ebrahim; Stölzle, Maximilian
Enhancing Echo State Networks with Gradient-based Explainability Methods
2024-01-01 Spinnato, Francesco; Cossu, Andrea; Guidotti, Riccardo; Ceni, Andrea; Gallicchio, Claudio; Bacciu, Davide
Euler State Networks: Non-dissipative Reservoir Computing
2024-01-01 Gallicchio, C.
Investigating over-parameterized randomized graph networks
2024-01-01 Donghi, G.; Pasa, L.; Oneto, L.; Gallicchio, C.; Micheli, A.; Anguita, D.; Sperduti, A.; Navarin, N.
Long Range Propagation on Continuous-Time Dynamic Graphs
2024-01-01 Gravina, A.; Lovisotto, G.; Gallicchio, C.; Bacciu, D.; Grohnfeldt, C.
Non-dissipative Reservoir Computing Approaches for Time-Series Classification
2024-01-01 Gallicchio, C.; Ceni, A.
Random Oscillators Network for Time Series Processing
2024-01-01 Ceni, Andrea; Cossu, Andrea; Stolzle, Maximilian; Liu, Jingyue; DELLA SANTINA, Cosimo; Bacciu, Davide; Gallicchio, Claudio
Reservoir Computing neural networks for estimating mechanical properties of hot steel strips
2024-01-01 Motta, F.; Gallicchio, C.
Residual Echo State Networks: Residual recurrent neural networks with stable dynamics and fast learning
2024-01-01 Ceni, A.; Gallicchio, C.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Hierarchical temporal representation in linear reservoir computing | In corso di stampa | Gallicchio, Claudio; Micheli, Alessio; Pedrelli, Luca | |
| Benchmarking Nonlinear Readouts in Linear Reservoir Networks | 1-gen-2026 | Lagomarsini, Giacomo; Ceni, Andrea; Gallicchio, Claudio | |
| Hardware friendly deep reservoir computing | 1-gen-2025 | Gallicchio, Claudio; Soriano, Miguel C. | |
| Non-dissipative Propagation by Randomized Anti-symmetric Deep Graph Networks | 1-gen-2025 | Gravina, A.; Gallicchio, C.; Bacciu, D. | |
| On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems | 1-gen-2025 | Gravina, A.; Eliasof, M.; Gallicchio, C.; Bacciu, D.; Schonlieb, C. -B. | |
| Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks | 1-gen-2025 | Heilig, Simon; Gravina, Alessio; Trenta, Alessandro; Gallicchio, Claudio; Bacciu, Davide | |
| Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks | 1-gen-2025 | Cossu, A.; Ceni, A.; Bacciu, D.; Gallicchio, C. | |
| Continuously Deep Recurrent Neural Networks | 1-gen-2024 | Ceni, Andrea; Ford Dominey, Peter; Gallicchio, Claudio; Micheli, Alessio; Pedrelli, Luca; Tortorella, Domenico | |
| Decentralized Incremental Federated Learning with Echo State Networks | 1-gen-2024 | Pompei, G.; Dazzi, P.; De Caro, V.; Gallicchio, C. | |
| Deep Echo State Networks for Modelling of Industrial Systems | 1-gen-2024 | Rodriguez-Ossorio, J. R.; Gallicchio, C.; Moran, A.; Diaz, I.; Fuertes, J. J.; Dominguez, M. | |
| Edge of Stability Echo State Network | 1-gen-2024 | Ceni, A.; Gallicchio, C. | |
| EMERGE - Emergent Awareness from Minimal Collectives | 1-gen-2024 | Bacciu, Davide; Ambriola, Vincenzo; Bahrami, Bahador; Ceni, Andrea; Cossu, Andrea; De Caro, Valerio; Della Santina, Cosimo; Deroy, Ophelia; Gallicchio, Claudio; Guidotti, Riccardo; Hauert, Sabine; Jones, Simon; Karpus, Jurgis; Lee, Suet; Liu, Jingyue; Lomonaco, Vincenzo; Meertens, Nadine; Milner, Emma; Monreale, Anna; Nakahara, Renan Picoreti; Ramirez, Mariano; Shahabi, Ebrahim; Stölzle, Maximilian | |
| Enhancing Echo State Networks with Gradient-based Explainability Methods | 1-gen-2024 | Spinnato, Francesco; Cossu, Andrea; Guidotti, Riccardo; Ceni, Andrea; Gallicchio, Claudio; Bacciu, Davide | |
| Euler State Networks: Non-dissipative Reservoir Computing | 1-gen-2024 | Gallicchio, C. | |
| Investigating over-parameterized randomized graph networks | 1-gen-2024 | Donghi, G.; Pasa, L.; Oneto, L.; Gallicchio, C.; Micheli, A.; Anguita, D.; Sperduti, A.; Navarin, N. | |
| Long Range Propagation on Continuous-Time Dynamic Graphs | 1-gen-2024 | Gravina, A.; Lovisotto, G.; Gallicchio, C.; Bacciu, D.; Grohnfeldt, C. | |
| Non-dissipative Reservoir Computing Approaches for Time-Series Classification | 1-gen-2024 | Gallicchio, C.; Ceni, A. | |
| Random Oscillators Network for Time Series Processing | 1-gen-2024 | Ceni, Andrea; Cossu, Andrea; Stolzle, Maximilian; Liu, Jingyue; DELLA SANTINA, Cosimo; Bacciu, Davide; Gallicchio, Claudio | |
| Reservoir Computing neural networks for estimating mechanical properties of hot steel strips | 1-gen-2024 | Motta, F.; Gallicchio, C. | |
| Residual Echo State Networks: Residual recurrent neural networks with stable dynamics and fast learning | 1-gen-2024 | Ceni, A.; Gallicchio, C. |