Claudio Gallicchio
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
79
Venues
19
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
79 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ESANN | Memristive-Friendly Hadamard Reservoirs. | Andrea Ceni, Gianluca Milano, Carlo Ricciardi, Claudio Gallicchio |
| 2026 | ESANN | Random Unicycle Network (RUN!): supercharging harmonic oscillator networks via non-holonomic constraints. | Mariano Ramrez Montero, Andrea Ceni, Andrea Cossu, Davide Bacciu, Claudio Gallicchio, Cosimo Della Santina |
| 2025 | AAAI | On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems. | Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schnlieb |
| 2025 | EANN | ESN with Delayed Inputs to Model Industrial Processes. | Jos Ramn Rodrguez-Ossorio, Antonio Morn, Juan Jos Fuertes, Claudio Gallicchio, Lidia Roca, Manuel Domnguez |
| 2025 | ECAI | Fed2RC: Federated Rocket Kernels and Ridge Classifier for Time Series Classification. | Bruno Casella, Samuele Fonio, Lorenzo Sciandra, Claudio Gallicchio, Marco Aldinucci, Mirko Polato, Roberto Esposito |
| 2025 | ESANN | Towards Adaptive and Stable Compositional Assemblies of Recurrent Neural Network Modules. | Valerio De Caro, Andrea Ceni, Davide Bacciu, Claudio Gallicchio |
| 2025 | ESANN | A Model of Memristive Nanowire Neuron for Recurrent Neural Networks. | Veronica Pistolesi, Andrea Ceni, Gianluca Milano, Carlo Ricciardi, Claudio Gallicchio |
| 2025 | ICANN | Benchmarking Nonlinear Readouts in Linear Reservoir Networks. | Giacomo Lagomarsini, Andrea Ceni, Claudio Gallicchio |
| 2025 | ICLR | Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks. | Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu |
| 2025 | ICML | Graph Adaptive Autoregressive Moving Average Models. | Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schnlieb |
| 2025 | IJCNN | Residual Reservoir Memory Networks. | Matteo Pinna, Andrea Ceni, Claudio Gallicchio |
| 2024 | AISTATS | Random Oscillators Network for Time Series Processing. | Andrea Ceni, Andrea Cossu, Maximilian W. Stlzle, Jingyue Liu, Cosimo Della Santina, Davide Bacciu, Claudio Gallicchio |
| 2024 | EANN | Deep Echo State Networks for Modelling of Industrial Systems. | Jos Ramn Rodrguez-Ossorio, Claudio Gallicchio, Antonio Morn, Ignacio Daz Blanco, Juan Jos Fuertes, Manuel Domnguez |
| 2024 | ESANN | Reservoir Memory Networks. | Claudio Gallicchio, Andrea Ceni |
| 2024 | ESANN | Informed Machine Learning for Complex Data. | Luca Oneto, Nicol Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita |
| 2024 | ESANN | Enhancing Echo State Networks with Gradient-based Explainability Methods. | Francesco Spinnato, Andrea Cossu, Riccardo Guidotti, Andrea Ceni, Claudio Gallicchio, Davide Bacciu |
| 2024 | HPDC | TEACHING Platform for Human-Centric Autonomous Applications: Design and Overview. | Valerio De Caro, Christos Chronis, Massimo Coppola, Vincenzo Lomonaco, Claudio Gallicchio, Konstantinos Tserpes, Davide Bacciu |
| 2024 | ICANN | Non-dissipative Reservoir Computing Approaches for Time-Series Classification. | Claudio Gallicchio, Andrea Ceni |
| 2024 | ICML | Long Range Propagation on Continuous-Time Dynamic Graphs. | Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt |
| 2024 | IJCNN | Reservoir Computing neural networks for estimating mechanical properties of hot steel strips. | Francesca Motta, Claudio Gallicchio |
| 2024 | IJCNN | Decentralized Incremental Federated Learning with Echo State Networks. | Geremia Pompei, Patrizio Dazzi, Valerio De Caro, Claudio Gallicchio |
| 2023 | ESANN | Communication-Efficient Ridge Regression in Federated Echo State Networks. | Valerio De Caro, Antonio Di Mauro, Davide Bacciu, Claudio Gallicchio |
| 2023 | ESANN | Improving Fairness via Intrinsic Plasticity in Echo State Networks. | Andrea Ceni, Davide Bacciu, Valerio De Caro, Claudio Gallicchio, Luca Oneto |
| 2023 | ESANN | Residual Reservoir Computing Neural Networks for Time-series Classification. | Claudio Gallicchio, Andrea Ceni |
| 2023 | HPDC | TEACHING: A Computing Toolkit for Building Efficient Autonomous appliCations Leveraging Humanistic INtelliGence. | Davide Bacciu, Konstantinos Tserpes, Massimo Coppola, Georg Macher, Claudio Gallicchio, Omar Veledar, Anna Maria Anaxagorou, Patrizio Dazzi |
| 2023 | ICANN | Diversifying Non-dissipative Reservoir Computing Dynamics. | Claudio Gallicchio |
| 2023 | ICANN | An Untrained Neural Model for Fast and Accurate Graph Classification. | Nicol Navarin, Luca Pasa, Claudio Gallicchio, Alessandro Sperduti |
| 2023 | ICASSP | Prediction of Driver's Stress Affection in Simulated Autonomous Driving Scenarios. | Valerio De Caro, Herbert Danzinger, Claudio Gallicchio, Clemens Knczl, Vincenzo Lomonaco, Mina Marmpena, Sevasti Politi, Omar Veledar, Davide Bacciu |
| 2023 | ICASSP | AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence. | 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 |
| 2023 | ICLR | Anti-Symmetric DGN: a stable architecture for Deep Graph Networks. | Alessio Gravina, Davide Bacciu, Claudio Gallicchio |
| 2023 | SAFECOMP | Safety and Robustness for Deep Neural Networks: An Automotive Use Case. | Davide Bacciu, Antonio Carta, Claudio Gallicchio, Christoph Schmittner |
| 2022 | CBMI | Deep Features for CBIR with Scarce Data using Hebbian Learning. | Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato |
| 2022 | ESANN | Input Routed Echo State Networks. | Luca Argentieri, Claudio Gallicchio, Alessio Micheli |
| 2022 | ESANN | Federated Adaptation of Reservoirs via Intrinsic Plasticity. | Valerio De Caro, Claudio Gallicchio, Davide Bacciu |
| 2022 | ESANN | Orthogonality in Additive Echo State Networks. | Andrea Ceni, Claudio Gallicchio |
| 2022 | ESANN | Continual Learning for Human State Monitoring. | Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu |
| 2022 | ICANN | Hierarchical Dynamics in Deep Echo State Networks. | Domenico Tortorella, Claudio Gallicchio, Alessio Micheli |
| 2022 | IJCNN | Minimal Euler State Networks. | Claudio Gallicchio |
| 2022 | IJCNN | Spectral Bounds for Graph Echo State Network Stability. | Domenico Tortorella, Claudio Gallicchio, Alessio Micheli |
| 2022 | PERCOM | AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. | Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassar, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu |
| 2021 | ESANN | Continual Learning with Echo State Networks. | Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco |
| 2021 | ESANN | Reservoir Computing by Discretizing ODEs. | Claudio Gallicchio |
| 2021 | IJCNN | Federated Reservoir Computing Neural Networks. | Davide Bacciu, Daniele Di Sarli, Pouria Faraji, Claudio Gallicchio, Alessio Micheli |
| 2021 | IJCNN | Phase Transition Adaptation. | Claudio Gallicchio, Alessio Micheli, Luca Silvestri |
| 2021 | IWANN | Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition. | Davide Bacciu, Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli, Niccol Puccinelli |
| 2020 | AAAI | Fast and Deep Graph Neural Networks. | Claudio Gallicchio, Alessio Micheli |
| 2020 | DATE | Efficient Embedded Machine Learning applications using Echo State Networks. | Luca Cerina, Marco D. Santambrogio, Giuseppe Franco, Claudio Gallicchio, Alessio Micheli |
| 2020 | ESANN | Pyramidal Graph Echo State Networks. | Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli |
| 2020 | ESANN | Frontiers in Reservoir Computing. | Claudio Gallicchio, Mantas Lukosevicius, Simone Scardapane |
| 2020 | ESANN | Simplifying Deep Reservoir Architectures. | Claudio Gallicchio, Alessio Micheli, Antonio Sisbarra |
| 2020 | ICANN | Time Series Clustering with Deep Reservoir Computing. | Miguel A. Atencia Ruiz, Claudio Gallicchio, Gonzalo Joya, Alessio Micheli |
| 2020 | ICCSA | A Preliminary Investigation of Machine Learning Approaches for Mobility Monitoring from Smartphone Data. | Claudio Gallicchio, Alessio Micheli, Massimiliano Petri, Antonio Pratelli |
| 2020 | IJCNN | Ring Reservoir Neural Networks for Graphs. | Claudio Gallicchio, Alessio Micheli |
| 2020 | INISTA | Sparsity in Reservoir Computing Neural Networks. | Claudio Gallicchio |
| 2020 | INISTA | Gated Echo State Networks: a preliminary study. | Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli |
| 2019 | ESANN | Chasing the Echo State Property. | Claudio Gallicchio |
| 2019 | ESANN | Comparison between DeepESNs and gated RNNs on multivariate time-series prediction. | Claudio Gallicchio, Alessio Micheli, Luca Pedrelli |
| 2019 | ESANN | Embeddings and Representation Learning for Structured Data. | Benjamin Paaen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti |
| 2019 | ICANN | Continuous Blood Pressure Estimation Through Optimized Echo State Networks. | Giuseppe Franco, Luca Cerina, Claudio Gallicchio, Alessio Micheli, Marco Domenico Santambrogio |
| 2019 | ICANN | Reservoir Topology in Deep Echo State Networks. | Claudio Gallicchio, Alessio Micheli |
| 2019 | IWANN | Richness of Deep Echo State Network Dynamics. | Claudio Gallicchio, Alessio Micheli |
| 2018 | ESANN | Short-term Memory of Deep RNN. | Claudio Gallicchio |
| 2018 | ESANN | Deep Echo State Networks for Diagnosis of Parkinson's Disease. | Claudio Gallicchio, Alessio Micheli, Luca Pedrelli |
| 2018 | ESANN | Randomized Recurrent Neural Networks. | Claudio Gallicchio, Alessio Micheli, Peter Tio |
| 2018 | ICANN | Combining Memory and Non-linearity in Echo State Networks. | Eleonora Di Gregorio, Claudio Gallicchio, Alessio Micheli |
| 2018 | ICML | Tree Edit Distance Learning via Adaptive Symbol Embeddings. | Benjamin Paaen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer |
| 2018 | IJCNN | Why Layering in Recurrent Neural Networks? A DeepESN Survey. | Claudio Gallicchio, Alessio Micheli |
| 2018 | IJCNN | Deep Tree Echo State Networks. | Claudio Gallicchio, Alessio Micheli |
| 2017 | ESANN | Randomized Machine Learning Approaches: Recent Developments and Challenges. | Claudio Gallicchio, Jos David Martn-Guerrero, Alessio Micheli, Emilio Soria-Olivas |
| 2017 | ESANN | Local Lyapunov Exponents of Deep RNN. | Claudio Gallicchio, Alessio Micheli, Luca Silvestri |
| 2016 | ESANN | A reservoir activation kernel for trees. | Davide Bacciu, Claudio Gallicchio, Alessio Micheli |
| 2016 | ESANN | RSS-based Robot Localization in Critical Environments using Reservoir Computing. | Mauro Dragone, Claudio Gallicchio, Roberto Guzmn, Alessio Micheli |
| 2016 | ESANN | Deep Reservoir Computing: A Critical Analysis. | Claudio Gallicchio, Alessio Micheli |
| 2015 | EPIA | Smart Environments and Context-Awareness for Lifestyle Management in a Healthy Active Ageing Framework. | Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli, Erina Ferro, Luigi Fortunati, Filippo Palumbo, Oberdan Parodi, Federico Vozzi, Sten Hanke, Johannes Kropf, Karl Kreiner |
| 2012 | ESANN | Constructive Reservoir Computation with Output Feedbacks for Structured Domains. | Claudio Gallicchio, Alessio Micheli, Giulio Visco |
| 2011 | ESANN | Exploiting vertices states in GraphESN by weighted nearest neighbor. | Claudio Gallicchio, Alessio Micheli |
| 2010 | ESANN | A Markovian characterization of redundancy in echo state networks by PCA. | Claudio Gallicchio, Alessio Micheli |
| 2010 | ESANN | TreeESN: a Preliminary Experimental Analysis. | Claudio Gallicchio, Alessio Micheli |
| 2010 | IJCNN | Graph Echo State Networks. | Claudio Gallicchio, Alessio Micheli |