A Markovian characterization of redundancy in echo state networks by PCA. - Claudio Gallicchio; Alessio Micheli (ESANN, 2010)

TreeESN: a Preliminary Experimental Analysis. - Claudio Gallicchio; Alessio Micheli (ESANN, 2010)

Graph Echo State Networks. - Claudio Gallicchio; Alessio Micheli (IJCNN, 2010)

Exploiting vertices states in GraphESN by weighted nearest neighbor. - Claudio Gallicchio; Alessio Micheli (ESANN, 2011)

User Movements Forecasting by Reservoir Computing Using Signal Streams Produced by Mote-Class Sensors. - Claudio Gallicchio; Alessio Micheli; Paolo Barsocchi; Stefano Chessa (MOBILIGHT, 2011)

Supervised State Mapping of Clustered GraphESN States. - Claudio Gallicchio; Alessio Micheli (WIRN, 2011)

Architectural and Markovian factors of echo state networks. - Claudio Gallicchio; Alessio Micheli (Neural Networks, 2011)

Reservoir Computing for Learning in Structured Domains. - Claudio Gallicchio (2011)

Constructive Reservoir Computation with Output Feedbacks for Structured Domains. - Claudio Gallicchio; Alessio Micheli; Giulio Visco (ESANN, 2012)

Self-sustaining Learning for Robotic Ecologies. - Davide Bacciu; Mathias Broxvall; Sonya A. Coleman; Mauro Dragone; Claudio Gallicchio; Claudio Gennaro; Roberto Guzmán; Rafa López; Héctor Lozano Peiteado; A. K. Ray; Arantxa Rentería; Alessandro Saffiotti; et al. (SENSORNETS, 2012)

A General Purpose Distributed Learning Model for Robotic Ecologies. - Davide Bacciu; Stefano Chessa; Claudio Gallicchio; Alessandro Lenzi; Alessio Micheli; Susanna Pelagatti (SyRoCo, 2012)

An Experimental Evaluation of Reservoir Computation for Ambient Assisted Living. - Davide Bacciu; Stefano Chessa; Claudio Gallicchio; Alessio Micheli; Paolo Barsocchi (WIRN, 2012)

Multisensor Data Fusion for Activity Recognition Based on Reservoir Computing. - Filippo Palumbo; Paolo Barsocchi; Claudio Gallicchio; Stefano Chessa; Alessio Micheli (EvAAL, 2013)

Distributed Neural Computation over WSN in Ambient Intelligence. - Davide Bacciu; Claudio Gallicchio; Alessandro Lenzi; Stefano Chessa; Alessio Micheli; Susanna Pelagatti; Claudio Vairo (ISAmI, 2013)

Robot Localization by Echo State Networks Using RSS. - Stefano Chessa; Claudio Gallicchio; Roberto Guzmán; Alessio Micheli (WIRN, 2013)

Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems. - Paolo Barsocchi; Stefano Chessa; Alessio Micheli; Claudio Gallicchio (ISPRS Int. J. Geo Inf., 2013)

Tree Echo State Networks. - Claudio Gallicchio; Alessio Micheli (Neurocomputing, 2013)

Learning context-aware mobile robot navigation in home environments. - Davide Bacciu; Claudio Gallicchio; Alessio Micheli; Maurizio Di Rocco; Alessandro Saffiotti (IISA, 2014)

An experimental characterization of reservoir computing in ambient assisted living applications. - Davide Bacciu; Paolo Barsocchi; Stefano Chessa; Claudio Gallicchio; Alessio Micheli (Neural Comput. Appl., 2014)

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 (EPIA, 2015)

Structured parallel implementation of Tree Echo State Network model selection. - Marco Danelutto; Claudio Gallicchio; Alessio Micheli; Massimo Torquati; Daniele Virgilio (PARCO, 2015)

A Reservoir Computing Approach for Balance Assessment. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli; Luigi Fortunati; Federico Vozzi; Oberdan Parodi (AALTD@PKDD/ECML (Revised Selected Papers), 2015)

Preliminary Experimental Analysis of Reservoir Computing Approach for Balance Assessment. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli; Federico Vozzi; Oberdan Parodi (AALTD@PKDD/ECML, 2015)

A cognitive robotic ecology approach to self-configuring and evolving AAL systems. - Mauro Dragone; Giuseppe Amato 001; Davide Bacciu; Stefano Chessa; Sonya A. Coleman; Maurizio Di Rocco; Claudio Gallicchio; Claudio Gennaro; Héctor Lozano Peiteado; Liam P. Maguire; T. Martin McGinnity; Alessio Micheli; et al. (Eng. Appl. Artif. Intell., 2015)

Prediction of the Italian electricity price for smart grid applications. - Emanuele Crisostomi; Claudio Gallicchio; Alessio Micheli; Marco Raugi; Mauro Tucci (Neurocomputing, 2015)

Robotic Ubiquitous Cognitive Ecology for Smart Homes. - Giuseppe Amato 001; Davide Bacciu; Mathias Broxvall; Stefano Chessa; Sonya A. Coleman; Maurizio Di Rocco; Mauro Dragone; Claudio Gallicchio; Claudio Gennaro; Héctor Lozano Peiteado; T. Martin McGinnity; Alessio Micheli; et al. (J. Intell. Robotic Syst., 2015)

A Reservoir Computing Approach for Human Gesture Recognition from Kinect Data. - Claudio Gallicchio; Alessio Micheli (AI*AAL@AI*IA, 2016)

A reservoir activation kernel for trees. - Davide Bacciu; Claudio Gallicchio; Alessio Micheli (ESANN, 2016)

RSS-based Robot Localization in Critical Environments using Reservoir Computing. - Mauro Dragone; Claudio Gallicchio; Roberto Guzmán; Alessio Micheli (ESANN, 2016)

Deep Reservoir Computing: A Critical Analysis. - Claudio Gallicchio; Alessio Micheli (ESANN, 2016)

Detecting Socialization Events in Ageing People: The Experience of the DOREMI Project. - Davide Bacciu; Stefano Chessa; Erina Ferro; Luigi Fortunati; Claudio Gallicchio; Davide La Rosa; Miguel Llorente; Alessio Micheli; Filippo Palumbo; Oberdan Parodi; Andrea Valenti; Federico Vozzi (Intelligent Environments, 2016)

A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living. - Giuseppe Amato 001; Davide Bacciu; Stefano Chessa; Mauro Dragone; Claudio Gallicchio; Claudio Gennaro; Héctor Lozano Peiteado; Alessio Micheli; Gregory M. P. O'Hare; Arantxa Rentería; Claudio Vairo (ISAmI, 2016)

Human activity recognition using multisensor data fusion based on Reservoir Computing. - Filippo Palumbo; Claudio Gallicchio; Rita Pucci; Alessio Micheli (J. Ambient Intell. Smart Environ., 2016)

Indoor User Movement Prediction from RSS data. - Davide Bacciu; Paolo Barsocchi; Stefano Chessa; Claudio Gallicchio; Alessio Micheli (UCI Machine Learning Repository, 2016)

Activity Recognition system based on Multisensor data fusion (AReM). - Filippo Palumbo; Claudio Gallicchio; Rita Pucci; Alessio Micheli (UCI Machine Learning Repository, 2016)

Experimental Analysis of Deep Echo State Networks for Ambient Assisted Living. - Claudio Gallicchio; Alessio Micheli (AI*AAL@AI*IA, 2017)

Randomized Machine Learning Approaches: Recent Developments and Challenges. - Claudio Gallicchio; José David Martín-Guerrero; Alessio Micheli; Emilio Soria-Olivas (ESANN, 2017)

Local Lyapunov Exponents of Deep RNN. - Claudio Gallicchio; Alessio Micheli; Luca Silvestri (ESANN, 2017)

On the need of machine learning as a service for the internet of things. - Davide Bacciu; Stefano Chessa; Claudio Gallicchio; Alessio Micheli (IML, 2017)

Echo State Property of Deep Reservoir Computing Networks. - Claudio Gallicchio; Alessio Micheli (Cogn. Comput., 2017)

Hierarchical Temporal Representation in Linear Reservoir Computing. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli (CoRR, 2017)

Deep Echo State Network (DeepESN): A Brief Survey. - Claudio Gallicchio; Alessio Micheli (CoRR, 2017)

A learning system for automatic Berg Balance Scale score estimation. - Davide Bacciu; Stefano Chessa; Claudio Gallicchio; Alessio Micheli; Luca Pedrelli; Erina Ferro; Luigi Fortunati; Davide La Rosa; Filippo Palumbo; Federico Vozzi; Oberdan Parodi (Eng. Appl. Artif. Intell., 2017)

Deep reservoir computing: A critical experimental analysis. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli (Neurocomputing, 2017)

Reliability and human factors in Ambient Assisted Living environments - The DOREMI case study. - Filippo Palumbo; Davide La Rosa; Erina Ferro; Davide Bacciu; Claudio Gallicchio; Alessio Micheli; Stefano Chessa; Federico Vozzi; Oberdan Parodi (J. Reliab. Intell. Environ., 2017)

Short-term Memory of Deep RNN. - Claudio Gallicchio (ESANN, 2018)

Deep Echo State Networks for Diagnosis of Parkinson's Disease. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli (ESANN, 2018)

Randomized Recurrent Neural Networks. - Claudio Gallicchio; Alessio Micheli; Peter Tiño (ESANN, 2018)

ITAmoji 2018: Emoji Prediction via Tree Echo State Networks. - Daniele Di Sarli; Claudio Gallicchio; Alessio Micheli (EVALITA@CLiC-it, 2018)

Combining Memory and Non-linearity in Echo State Networks. - Eleonora Di Gregorio; Claudio Gallicchio; Alessio Micheli (ICANN (2), 2018)

Tree Edit Distance Learning via Adaptive Symbol Embeddings. - Benjamin Paaßen; Claudio Gallicchio; Alessio Micheli; Barbara Hammer (ICML, 2018)

Why Layering in Recurrent Neural Networks? A DeepESN Survey. - Claudio Gallicchio; Alessio Micheli (IJCNN, 2018)

Deep Tree Echo State Networks. - Claudio Gallicchio; Alessio Micheli (IJCNN, 2018)

Local Lyapunov exponents of deep echo state networks. - Claudio Gallicchio; Alessio Micheli; Luca Silvestri (Neurocomputing, 2018)

Design of deep echo state networks. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli (Neural Networks, 2018)

Question Classification with Untrained Recurrent Embeddings. - Daniele Di Sarli; Claudio Gallicchio; Alessio Micheli (AI*IA, 2019)

Chasing the Echo State Property. - Claudio Gallicchio (ESANN, 2019)

Comparison between DeepESNs and gated RNNs on multivariate time-series prediction. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli (ESANN, 2019)

Embeddings and Representation Learning for Structured Data. - Benjamin Paaßen; Claudio Gallicchio; Alessio Micheli; Alessandro Sperduti (ESANN, 2019)

Continuous Blood Pressure Estimation Through Optimized Echo State Networks. - Giuseppe Franco; Luca Cerina; Claudio Gallicchio; Alessio Micheli; Marco Domenico Santambrogio (ICANN (Workshop), 2019)

Reservoir Topology in Deep Echo State Networks. - Claudio Gallicchio; Alessio Micheli (ICANN (Workshop), 2019)

Fast Spectral Radius Initialization for Recurrent Neural Networks. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli (INNSBDDL, 2019)

Deep Randomized Neural Networks. - Claudio Gallicchio; Simone Scardapane (INNSBDDL (Tutorials), 2019)

Richness of Deep Echo State Network Dynamics. - Claudio Gallicchio; Alessio Micheli (IWANN (1), 2019)

An ambient intelligence approach for learning in smart robotic environments. - Davide Bacciu; Maurizio Di Rocco; Mauro Dragone; Claudio Gallicchio; Alessio Micheli; Alessandro Saffiotti (Comput. Intell., 2019)

Deep Reservoir Neural Networks for Trees. - Claudio Gallicchio; Alessio Micheli (Inf. Sci., 2019)

Fast and Deep Graph Neural Networks. - Claudio Gallicchio; Alessio Micheli (AAAI, 2020)

Efficient Embedded Machine Learning applications using Echo State Networks. - Luca Cerina; Marco D. Santambrogio; Giuseppe Franco; Claudio Gallicchio; Alessio Micheli (DATE, 2020)

Pyramidal Graph Echo State Networks. - Filippo Maria Bianchi; Claudio Gallicchio; Alessio Micheli (ESANN, 2020)

Frontiers in Reservoir Computing. - Claudio Gallicchio; Mantas Lukosevicius; Simone Scardapane (ESANN, 2020)

Simplifying Deep Reservoir Architectures. - Claudio Gallicchio; Alessio Micheli; Antonio Sisbarra (ESANN, 2020)

Time Series Clustering with Deep Reservoir Computing. - Miguel A. Atencia Ruiz; Claudio Gallicchio; Gonzalo Joya; Alessio Micheli (ICANN (2), 2020)

A Preliminary Investigation of Machine Learning Approaches for Mobility Monitoring from Smartphone Data. - Claudio Gallicchio; Alessio Micheli; Massimiliano Petri; Antonio Pratelli (ICCSA (2), 2020)

Ring Reservoir Neural Networks for Graphs. - Claudio Gallicchio; Alessio Micheli (IJCNN, 2020)

Sparsity in Reservoir Computing Neural Networks. - Claudio Gallicchio (INISTA, 2020)

Gated Echo State Networks: a preliminary study. - Daniele Di Sarli; Claudio Gallicchio; Alessio Micheli (INISTA, 2020)

Text classification by untrained sentence embeddings. - Daniele Di Sarli; Claudio Gallicchio; Alessio Micheli (Intelligenza Artificiale, 2020)

Enhancing deep neural networks via multiple kernel learning. - Ivano Lauriola; Claudio Gallicchio; Fabio Aiolli (Pattern Recognit., 2020)

EchoBay: Design and Optimization of Echo State Networks under Memory and Time Constraints. - Luca Cerina; Marco D. Santambrogio; Giuseppe Franco; Claudio Gallicchio; Alessio Micheli (ACM Trans. Archit. Code Optim., 2020)

Hierarchical Temporal Representation in Linear Reservoir Computing. - Claudio Gallicchio; Alessio Micheli; Luca Pedrelli (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. - Davide Bacciu; Siranush Akarmazyan; Eric Armengaud; Manlio Bacco; George Bravos; Calogero Calandra; Emanuele Carlini; Antonio Carta; Pietro Cassarà; Massimo Coppola; Charalampos Davalas; Patrizio Dazzi; et al. (COINS, 2021)

Continual Learning with Echo State Networks. - Andrea Cossu; Davide Bacciu; Antonio Carta; Claudio Gallicchio; Vincenzo Lomonaco (ESANN, 2021)

Reservoir Computing by Discretizing ODEs. - Claudio Gallicchio (ESANN, 2021)

Federated Reservoir Computing Neural Networks. - Davide Bacciu; Daniele Di Sarli; Pouria Faraji; Claudio Gallicchio; Alessio Micheli (IJCNN, 2021)

Phase Transition Adaptation. - Claudio Gallicchio; Alessio Micheli; Luca Silvestri (IJCNN, 2021)

Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition. - Davide Bacciu; Daniele Di Sarli; Claudio Gallicchio; Alessio Micheli; Niccolò Puccinelli (IWANN (2), 2021)

A preliminary evaluation of Echo State Networks for Brugada syndrome classification. - Giovanna Maria Dimitri; Claudio Gallicchio; Alessio Micheli; Maria-Aurora Morales; Emanuele Ungaro; Federico Vozzi (SSCI, 2021)

Echo state graph neural networks with analogue random resistor arrays. - Shaocong Wang; Yi Li 049; Dingchen Wang; Woyu Zhang; Xi Chen; Danian Dong; Songqi Wang; Xumeng Zhang; Peng Lin; Claudio Gallicchio; Xiaoxin Xu; Qi Liu 010; et al. (CoRR, 2021)

Deep Reservoir Computing. - Claudio Gallicchio; Alessio Micheli (Reservoir Computing, 2021)

Deep Features for CBIR with Scarce Data using Hebbian Learning. - Gabriele Lagani; Davide Bacciu; Claudio Gallicchio; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (CBMI, 2022)

Input Routed Echo State Networks. - Luca Argentieri; Claudio Gallicchio; Alessio Micheli (ESANN, 2022)

Federated Adaptation of Reservoirs via Intrinsic Plasticity. - Valerio De Caro; Claudio Gallicchio; Davide Bacciu (ESANN, 2022)

Orthogonality in Additive Echo State Networks. - Andrea Ceni; Claudio Gallicchio (ESANN, 2022)

Continual Learning for Human State Monitoring. - Federico Matteoni; Andrea Cossu; Claudio Gallicchio; Vincenzo Lomonaco; Davide Bacciu (ESANN, 2022)

Hierarchical Dynamics in Deep Echo State Networks. - Domenico Tortorella; Claudio Gallicchio; Alessio Micheli (ICANN (3), 2022)

Minimal Euler State Networks. - Claudio Gallicchio (IJCNN, 2022)

Spectral Bounds for Graph Echo State Network Stability. - Domenico Tortorella; Claudio Gallicchio; Alessio Micheli (IJCNN, 2022)

AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. - 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; et al. (PerCom Workshops, 2022)

Efficient Anomaly Detection on Temporal Data via Echo State Networks and Dynamic Thresholding. - Antonio Carta; Giacomo Carfì; Valerio De Caro; Claudio Gallicchio (CI4PM/PAI@WCCI, 2022)

On the effectiveness of Gated Echo State Networks for data exhibiting long-term dependencies. - Daniele Di Sarli; Claudio Gallicchio; Alessio Micheli (Comput. Sci. Inf. Syst., 2022)

Euler State Networks. - Claudio Gallicchio (CoRR, 2022)

Pyramidal Reservoir Graph Neural Network. - Filippo Maria Bianchi; Claudio Gallicchio; Alessio Micheli (Neurocomputing, 2022)

Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing. - Gouhei Tanaka; Claudio Gallicchio; Alessio Micheli; Juan-Pablo Ortega; Akira Hirose 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Communication-Efficient Ridge Regression in Federated Echo State Networks. - Valerio De Caro; Antonio Di Mauro; Davide Bacciu; Claudio Gallicchio (ESANN, 2023)

Improving Fairness via Intrinsic Plasticity in Echo State Networks. - Andrea Ceni; Davide Bacciu; Valerio De Caro; Claudio Gallicchio; Luca Oneto (ESANN, 2023)

Residual Reservoir Computing Neural Networks for Time-series Classification. - Claudio Gallicchio; Andrea Ceni (ESANN, 2023)

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 (FRAME@HPDC, 2023)

Diversifying Non-dissipative Reservoir Computing Dynamics. - Claudio Gallicchio (ICANN (8), 2023)

An Untrained Neural Model for Fast and Accurate Graph Classification. - Nicolò Navarin; Luca Pasa; Claudio Gallicchio; Alessandro Sperduti (ICANN (4), 2023)

Prediction of Driver's Stress Affection in Simulated Autonomous Driving Scenarios. - Valerio De Caro; Herbert Danzinger; Claudio Gallicchio; Clemens Könczöl; Vincenzo Lomonaco; Mina Marmpena; Sevasti Politi; Omar Veledar; Davide Bacciu (ICASSP Workshops, 2023)

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 (ICASSP Workshops, 2023)

Anti-Symmetric DGN: a stable architecture for Deep Graph Networks. - Alessio Gravina; Davide Bacciu; Claudio Gallicchio (ICLR, 2023)

Non-dissipative Propagation by Randomized Anti-symmetric Deep Graph Networks. - Alessio Gravina; Claudio Gallicchio; Davide Bacciu (PKDD/ECML Workshops (5), 2023)

Safety and Robustness for Deep Neural Networks: An Automotive Use Case. - Davide Bacciu; Antonio Carta; Claudio Gallicchio; Christoph Schmittner (SAFECOMP Workshops, 2023)

Edge of stability echo state networks. - Andrea Ceni; Claudio Gallicchio (CoRR, 2023)

Echo state graph neural networks with analogue random resistive memory arrays. - Shaocong Wang; Yi Li 049; Dingchen Wang; Woyu Zhang; Xi Chen; Danian Dong; Songqi Wang; Xumeng Zhang; Peng Lin; Claudio Gallicchio; Xiaoxin Xu; Qi Liu 010; et al. (Nat. Mac. Intell., 2023)

Guest Editorial: Trends in Reservoir Computing. - Simone Scardapane; Claudio Gallicchio; Alessio Micheli; Miguel C. Soriano (Cogn. Comput., 2023)

Continual adaptation of federated reservoirs in pervasive environments. - Valerio De Caro; Claudio Gallicchio; Davide Bacciu (Neurocomputing, 2023)

Architectural richness in deep reservoir computing. - Claudio Gallicchio; Alessio Micheli (Neural Comput. Appl., 2023)

Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks. - Andrea Cossu; Andrea Ceni; Davide Bacciu; Claudio Gallicchio (AIMLSystems, 2024)

Random Oscillators Network for Time Series Processing. - Andrea Ceni; Andrea Cossu; Maximilian W. Stölzle; Jingyue Liu 001; Cosimo Della Santina; Davide Bacciu; Claudio Gallicchio (AISTATS, 2024)

Deep Echo State Networks for Modelling of Industrial Systems. - José Ramón Rodríguez-Ossorio; Claudio Gallicchio; Antonio Morán 001; Ignacio Díaz Blanco; Juan José Fuertes 001; Manuel Domínguez 002 (EANN, 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; et al. (ERF (1), 2024)

Awareness in Robotics: An Early Perspective from the Viewpoint of the EIC Pathfinder Challenge "Awareness Inside". - 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; et al. (ERF (1), 2024)

Reservoir Memory Networks. - Claudio Gallicchio; Andrea Ceni (ESANN, 2024)

Informed Machine Learning for Complex Data. - Luca Oneto; Nicolò Navarin; Alessio Micheli; Luca Pasa; Claudio Gallicchio; Davide Bacciu; Davide Anguita (ESANN, 2024)

Enhancing Echo State Networks with Gradient-based Explainability Methods. - Francesco Spinnato; Andrea Cossu; Riccardo Guidotti; Andrea Ceni; Claudio Gallicchio; Davide Bacciu (ESANN, 2024)

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 (HPDC, 2024)

Non-dissipative Reservoir Computing Approaches for Time-Series Classification. - Claudio Gallicchio; Andrea Ceni (ICANN (10), 2024)

Long Range Propagation on Continuous-Time Dynamic Graphs. - Alessio Gravina; Giulio Lovisotto; Claudio Gallicchio; Davide Bacciu; Claas Grohnfeldt (ICML, 2024)

Reservoir Computing neural networks for estimating mechanical properties of hot steel strips. - Francesca Motta; Claudio Gallicchio (IJCNN, 2024)

Decentralized Incremental Federated Learning with Echo State Networks. - Geremia Pompei; Patrizio Dazzi; Valerio De Caro; Claudio Gallicchio (IJCNN, 2024)

Continuously Deep Recurrent Neural Networks. - Andrea Ceni; Peter Ford Dominey; Claudio Gallicchio; Alessio Micheli; Luca Pedrelli; Domenico Tortorella (ECML/PKDD (7), 2024)

Tackling Graph Oversquashing by Global and Local Non-Dissipativity. - Alessio Gravina; Moshe Eliasof; Claudio Gallicchio; Davide Bacciu; Carola-Bibiane Schönlieb (CoRR, 2024)

Injecting Hamiltonian Architectural Bias into Deep Graph Networks for Long-Range Propagation. - Simon Heilig; Alessio Gravina; Alessandro Trenta; Claudio Gallicchio; Davide Bacciu (CoRR, 2024)

Residual Echo State Networks: Residual recurrent neural networks with stable dynamics and fast learning. - Andrea Ceni; Claudio Gallicchio (Neurocomputing, 2024)

Investigating over-parameterized randomized graph networks. - Giovanni Donghi; Luca Pasa; Luca Oneto; Claudio Gallicchio; Alessio Micheli; Davide Anguita; Alessandro Sperduti; Nicolò Navarin (Neurocomputing, 2024)

Euler State Networks: Non-dissipative Reservoir Computing. - Claudio Gallicchio (Neurocomputing, 2024)

On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems. - Alessio Gravina; Moshe Eliasof; Claudio Gallicchio; Davide Bacciu; Carola-Bibiane Schönlieb (AAAI, 2025)

ESN with Delayed Inputs to Model Industrial Processes. - José Ramón Rodríguez-Ossorio; Antonio Morán 001; Juan José Fuertes 001; Claudio Gallicchio; Lidia Roca; Manuel Domínguez 002 (EANN (1), 2025)

Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks. - Simon Heilig; Alessio Gravina; Alessandro Trenta; Claudio Gallicchio; Davide Bacciu (ICLR, 2025)

GRAMA: Adaptive Graph Autoregressive Moving Average Models. - Moshe Eliasof; Alessio Gravina; Andrea Ceni; Claudio Gallicchio; Davide Bacciu; Carola-Bibiane Schönlieb (CoRR, 2025)

On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning. - Alvaro Arroyo; Alessio Gravina; Benjamin Gutteridge; Federico Barbero; Claudio Gallicchio; Xiaowen Dong 001; Michael M. Bronstein; Pierre Vandergheynst (CoRR, 2025)

Ray-Tracing for Conditionally Activated Neural Networks. - Claudio Gallicchio; Giuseppe Nuti (CoRR, 2025)

Edge of Stability Echo State Network. - Andrea Ceni; Claudio Gallicchio (IEEE Trans. Neural Networks Learn. Syst., 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, 2025)

Mixture of Raytraced Experts. - Andrea Perin; Giacomo Lagomarsini; Claudio Gallicchio; Giuseppe Nuti (CoRR, 2025)

Residual Reservoir Memory Networks. - Matteo Pinna; Andrea Ceni; Claudio Gallicchio (CoRR, 2025)