Claudio Gallicchio

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 124

Top Venues

Publications

Cosimo Della Santina, Carlos Hernández Corbato, Burak Sisman, Luis A. Leiva, Ioannis Arapakis, Michalis Vakalellis, Jean Vanderdonckt, Luis Fernando D'Haro, Guido Manzi, Cristina Becchio, Aïda Elamrani, Mohsen Alirezaei, Ginevra Castellano, Dimos V. Dimarogonas, Arabinda Ghosh, Sofie Haesaert, Sadegh Soudjani, Sybert Stroeve, Paul F. M. J. Verschure, Davide Bacciu, Ophelia Deroy, Bahador Bahrami, Claudio Gallicchio, Sabine Hauert, Ricardo Sanz, Pablo Lanillos, Giovanni Iacca, Stephan Sigg, Manel Gasulla, Luc Steels, Carles Sierra
Awareness in robotics: An early perspective from the viewpoint of the EIC Pathfinder Challenge "Awareness Inside". CoRR (2024)
Andrea Ceni, Claudio Gallicchio
Residual Echo State Networks: Residual recurrent neural networks with stable dynamics and fast learning. Neurocomputing 597 (2024)
Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt
Long Range Propagation on Continuous-Time Dynamic Graphs. CoRR (2024)
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)
José Ramón Rodríguez-Ossorio, Claudio Gallicchio, Antonio Morán, Ignacio Díaz Blanco, Juan José Fuertes, Manuel Domínguez
Deep Echo State Networks for Modelling of Industrial Systems. EANN (2024)
Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
Tackling Graph Oversquashing by Global and Local Non-Dissipativity. CoRR (2024)
Giovanni Donghi, Luca Pasa, Luca Oneto, Claudio Gallicchio, Alessio Micheli, Davide Anguita, Alessandro Sperduti, Nicolò Navarin
Investigating over-parameterized randomized graph networks. Neurocomputing 606 (2024)
Claudio Gallicchio
Euler State Networks: Non-dissipative Reservoir Computing. Neurocomputing 579 (2024)
Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu
Injecting Hamiltonian Architectural Bias into Deep Graph Networks for Long-Range Propagation. CoRR (2024)
Valerio De Caro, Antonio Di Mauro, Davide Bacciu, Claudio Gallicchio
Communication-Efficient Ridge Regression in Federated Echo State Networks. ESANN (2023)
Shaocong Wang, Yi Li, Dingchen Wang, Woyu Zhang, Xi Chen, Danian Dong, Songqi Wang, Xumeng Zhang, Peng Lin, Claudio Gallicchio, Xiaoxin Xu, Qi Liu, Kwang-Ting Cheng, Zhongrui Wang, Dashan Shang, Ming Liu
Echo state graph neural networks with analogue random resistive memory arrays. Nat. Mac. Intell. 5 (2) (2023)
Andrea Ceni, Davide Bacciu, Valerio De Caro, Claudio Gallicchio, Luca Oneto
Improving Fairness via Intrinsic Plasticity in Echo State Networks. ESANN (2023)
Claudio Gallicchio
Diversifying Non-dissipative Reservoir Computing Dynamics. ICANN (8) (2023)
Davide Bacciu, Antonio Carta, Claudio Gallicchio, Christoph Schmittner
Safety and Robustness for Deep Neural Networks: An Automotive Use Case. SAFECOMP Workshops (2023)
Davide Bacciu, Konstantinos Tserpes, Massimo Coppola, Georg Macher, Claudio Gallicchio, Omar Veledar, Anna Maria Anaxagorou, Patrizio Dazzi
TEACHING: A Computing Toolkit for Building Efficient Autonomous appliCations Leveraging Humanistic INtelliGence. FRAME@HPDC (2023)
Valerio De Caro, Herbert Danzinger, Claudio Gallicchio, Clemens Könczöl, Vincenzo Lomonaco, Mina Marmpena, Sevasti Politi, Omar Veledar, Davide Bacciu
Prediction of Driver's Stress Affection in Simulated Autonomous Driving Scenarios. ICASSP Workshops (2023)
Claudio Gallicchio, Andrea Ceni
Residual Reservoir Computing Neural Networks for Time-series Classification. ESANN (2023)
Vincenzo Lomonaco, Valerio De Caro, Claudio Gallicchio, Antonio Carta, Christos Sardianos, Iraklis Varlamis, Konstantinos Tserpes, Massimo Coppola, Mina Marmpena, Sevasti Politi, Erwin Schoitsch, Davide Bacciu
AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence. ICASSP Workshops (2023)
Claudio Gallicchio, Alessio Micheli
Architectural richness in deep reservoir computing. Neural Comput. Appl. 35 (34) (2023)
Valerio De Caro, Claudio Gallicchio, Davide Bacciu
Continual adaptation of federated reservoirs in pervasive environments. Neurocomputing 556 (2023)
Simone Scardapane, Claudio Gallicchio, Alessio Micheli, Miguel C. Soriano
Guest Editorial: Trends in Reservoir Computing. Cogn. Comput. 15 (5) (2023)
Alessio Gravina, Davide Bacciu, Claudio Gallicchio
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks. ICLR (2023)
Andrea Ceni, Claudio Gallicchio
Edge of stability echo state networks. CoRR (2023)
Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu
Continual Learning for Human State Monitoring. CoRR (2022)
Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Deep Features for CBIR with Scarce Data using Hebbian Learning. CBMI (2022)
Alessio Gravina, Davide Bacciu, Claudio Gallicchio
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks. CoRR (2022)
Valerio De Caro, Claudio Gallicchio, Davide Bacciu
Federated Adaptation of Reservoirs via Intrinsic Plasticity. CoRR (2022)
Valerio De Caro, Claudio Gallicchio, Davide Bacciu
Federated Adaptation of Reservoirs via Intrinsic Plasticity. ESANN (2022)
Gouhei Tanaka, Claudio Gallicchio, Alessio Micheli, Juan-Pablo Ortega, Akira Hirose
Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Domenico Tortorella, Claudio Gallicchio, Alessio Micheli
Spectral Bounds for Graph Echo State Network Stability. IJCNN (2022)
Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Deep Features for CBIR with Scarce Data using Hebbian Learning. CoRR (2022)
Andrea Ceni, Claudio Gallicchio
Orthogonality in Additive Echo State Networks. ESANN (2022)
Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli
Pyramidal Reservoir Graph Neural Network. Neurocomputing 470 (2022)
Antonio Carta, Giacomo Carfì, Valerio De Caro, Claudio Gallicchio
Efficient Anomaly Detection on Temporal Data via Echo State Networks and Dynamic Thresholding. CI4PM/PAI@WCCI (2022)
Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. PerCom Workshops (2022)
Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. CoRR (2022)
Domenico Tortorella, Claudio Gallicchio, Alessio Micheli
Hierarchical Dynamics in Deep Echo State Networks. ICANN (3) (2022)
Luca Argentieri, Claudio Gallicchio, Alessio Micheli
Input Routed Echo State Networks. ESANN (2022)
Claudio Gallicchio
Euler State Networks. CoRR (2022)
Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu
Continual Learning for Human State Monitoring. ESANN (2022)
Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
On the effectiveness of Gated Echo State Networks for data exhibiting long-term dependencies. Comput. Sci. Inf. Syst. 19 (1) (2022)
Claudio Gallicchio
Minimal Euler State Networks. IJCNN (2022)
Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli
Pyramidal Reservoir Graph Neural Network. CoRR (2021)
Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco
Continual Learning with Echo State Networks. CoRR (2021)
Claudio Gallicchio, Alessio Micheli, Luca Silvestri
Phase Transition Adaptation. IJCNN (2021)
Giovanna Maria Dimitri, Claudio Gallicchio, Alessio Micheli, Maria-Aurora Morales, Emanuele Ungaro, Federico Vozzi
A preliminary evaluation of Echo State Networks for Brugada syndrome classification. SSCI (2021)
Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco
Continual Learning with Echo State Networks. ESANN (2021)
Davide Bacciu, Daniele Di Sarli, Pouria Faraji, Claudio Gallicchio, Alessio Micheli
Federated Reservoir Computing Neural Networks. IJCNN (2021)
Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. CoRR (2021)
Davide Bacciu, Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli, Niccolò Puccinelli
Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition. IWANN (2) (2021)
Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. COINS (2021)
Claudio Gallicchio
Reservoir Computing by Discretizing ODEs. ESANN (2021)
Shaocong Wang, Yi Li, Dingchen Wang, Woyu Zhang, Xi Chen, Danian Dong, Songqi Wang, Xumeng Zhang, Peng Lin, Claudio Gallicchio, Xiaoxin Xu, Qi Liu, Kwang-Ting Cheng, Zhongrui Wang, Dashan Shang, Ming Liu
Echo state graph neural networks with analogue random resistor arrays. CoRR (2021)
Claudio Gallicchio, Alessio Micheli, Luca Silvestri
Phase Transition Adaptation. CoRR (2021)
Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
Text classification by untrained sentence embeddings. Intelligenza Artificiale 14 (2) (2020)
Claudio Gallicchio, Simone Scardapane
Deep Randomized Neural Networks. CoRR (2020)
Claudio Gallicchio
Sparsity in Reservoir Computing Neural Networks. CoRR (2020)
Ivano Lauriola, Claudio Gallicchio, Fabio Aiolli
Enhancing deep neural networks via multiple kernel learning. Pattern Recognit. 101 (2020)
Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli
Pyramidal Graph Echo State Networks. ESANN (2020)
Claudio Gallicchio, Mantas Lukosevicius, Simone Scardapane
Frontiers in Reservoir Computing. ESANN (2020)
Claudio Gallicchio, Alessio Micheli
Ring Reservoir Neural Networks for Graphs. CoRR (2020)
Claudio Gallicchio, Alessio Micheli, Massimiliano Petri, Antonio Pratelli
A Preliminary Investigation of Machine Learning Approaches for Mobility Monitoring from Smartphone Data. ICCSA (2) (2020)
Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
Gated Echo State Networks: a preliminary study. INISTA (2020)
Claudio Gallicchio, Alessio Micheli, Antonio Sisbarra
Simplifying Deep Reservoir Architectures. ESANN (2020)
Claudio Gallicchio, Alessio Micheli
Ring Reservoir Neural Networks for Graphs. IJCNN (2020)
Claudio Gallicchio, Alessio Micheli
Fast and Deep Graph Neural Networks. AAAI (2020)
Luca Cerina, Marco D. Santambrogio, Giuseppe Franco, Claudio Gallicchio, Alessio Micheli
EchoBay: Design and Optimization of Echo State Networks under Memory and Time Constraints. ACM Trans. Archit. Code Optim. 17 (3) (2020)
Luca Cerina, Marco D. Santambrogio, Giuseppe Franco, Claudio Gallicchio, Alessio Micheli
Efficient Embedded Machine Learning applications using Echo State Networks. DATE (2020)
Miguel A. Atencia Ruiz, Claudio Gallicchio, Gonzalo Joya, Alessio Micheli
Time Series Clustering with Deep Reservoir Computing. ICANN (2) (2020)
Claudio Gallicchio
Sparsity in Reservoir Computing Neural Networks. INISTA (2020)
Giuseppe Franco, Luca Cerina, Claudio Gallicchio, Alessio Micheli, Marco Domenico Santambrogio
Continuous Blood Pressure Estimation Through Optimized Echo State Networks. ICANN (Workshop) (2019)
Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti
Embeddings and Representation Learning for Structured Data. CoRR (2019)
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
Fast Spectral Radius Initialization for Recurrent Neural Networks. INNSBDDL (2019)
Claudio Gallicchio, Alessio Micheli
Richness of Deep Echo State Network Dynamics. IWANN (1) (2019)
Claudio Gallicchio, Alessio Micheli
Fast and Deep Graph Neural Networks. CoRR (2019)
Claudio Gallicchio
Chasing the Echo State Property. ESANN (2019)
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction. ESANN (2019)
Claudio Gallicchio, Alessio Micheli
Richness of Deep Echo State Network Dynamics. CoRR (2019)
Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti
Embeddings and Representation Learning for Structured Data. ESANN (2019)
Claudio Gallicchio, Alessio Micheli
Reservoir Topology in Deep Echo State Networks. CoRR (2019)
Claudio Gallicchio, Alessio Micheli
Reservoir Topology in Deep Echo State Networks. ICANN (Workshop) (2019)
Claudio Gallicchio, Simone Scardapane
Deep Randomized Neural Networks. INNSBDDL (Tutorials) (2019)
Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
Question Classification with Untrained Recurrent Embeddings. AI*IA (2019)
Claudio Gallicchio, Alessio Micheli
Deep Reservoir Neural Networks for Trees. Inf. Sci. 480 (2019)
Davide Bacciu, Maurizio Di Rocco, Mauro Dragone, Claudio Gallicchio, Alessio Micheli, Alessandro Saffiotti
An ambient intelligence approach for learning in smart robotic environments. Comput. Intell. 35 (4) (2019)
Claudio Gallicchio
Chasing the Echo State Property. CoRR (2018)
Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer
Tree Edit Distance Learning via Adaptive Symbol Embeddings. ICML (2018)
Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
ITAmoji 2018: Emoji Prediction via Tree Echo State Networks. EVALITA@CLiC-it (2018)
Claudio Gallicchio
Short-term Memory of Deep RNN. ESANN (2018)
Claudio Gallicchio, Alessio Micheli
Deep Tree Echo State Networks. IJCNN (2018)
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
Deep Echo State Networks for Diagnosis of Parkinson's Disease. ESANN (2018)
Claudio Gallicchio
Short-term Memory of Deep RNN. CoRR (2018)
Claudio Gallicchio, Alessio Micheli
Why Layering in Recurrent Neural Networks? A DeepESN Survey. IJCNN (2018)
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
Deep Echo State Networks for Diagnosis of Parkinson's Disease. CoRR (2018)
Eleonora Di Gregorio, Claudio Gallicchio, Alessio Micheli
Combining Memory and Non-linearity in Echo State Networks. ICANN (2) (2018)
Claudio Gallicchio, Alessio Micheli, Luca Silvestri
Local Lyapunov exponents of deep echo state networks. Neurocomputing 298 (2018)
Claudio Gallicchio, Alessio Micheli, Peter Tiño
Randomized Recurrent Neural Networks. ESANN (2018)
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
Design of deep echo state networks. Neural Networks 108 (2018)
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction. CoRR (2018)
Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer
Tree Edit Distance Learning via Adaptive Symbol Embeddings. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Claudio Gallicchio