Continual Learning with Gated Incremental Memories for sequential data processing. - Andrea Cossu; Antonio Carta; Davide Bacciu (IJCNN, 2020)

Avalanche: An End-to-End Library for Continual Learning. - Vincenzo Lomonaco; Lorenzo Pellegrini; Andrea Cossu; Antonio Carta; Gabriele Graffieti; Tyler L. Hayes; Matthias De Lange; Marc Masana; Jary Pomponi; Gido M. van de Ven; Martin Mundt; Qi She; et al. (CVPR Workshops, 2021)

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

Distilled Replay: Overcoming Forgetting Through Synthetic Samples. - Andrea Rosasco; Antonio Carta; Andrea Cossu; Vincenzo Lomonaco; Davide Bacciu (CSSL, 2021)

Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification. - Antonio Carta; Andrea Cossu; Federico Errica; Davide Bacciu (CoRR, 2021)

Avalanche: an End-to-End Library for Continual Learning. - Vincenzo Lomonaco; Lorenzo Pellegrini; Andrea Cossu; Antonio Carta; Gabriele Graffieti; Tyler L. Hayes; Matthias De Lange; Marc Masana; Jary Pomponi; Gido M. van de Ven; Martin Mundt; Qi She; et al. (CoRR, 2021)

Sustainable Artificial Intelligence through Continual Learning. - Andrea Cossu; Marta Ziosi; Vincenzo Lomonaco (CoRR, 2021)

Continual learning for recurrent neural networks: An empirical evaluation. - Andrea Cossu; Antonio Carta; Vincenzo Lomonaco; Davide Bacciu (Neural Networks, 2021)

Ex-Model: Continual Learning from a Stream of Trained Models. - Antonio Carta; Andrea Cossu; Vincenzo Lomonaco; Davide Bacciu (CVPR Workshops, 2022)

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

Practical Recommendations for Replay-Based Continual Learning Methods. - Gabriele Merlin; Vincenzo Lomonaco; Andrea Cossu; Antonio Carta; Davide Bacciu (ICIAP Workshops, 2022)

Sample Condensation in Online Continual Learning. - Mattia Sangermano; Antonio Carta; Andrea Cossu; Davide Bacciu (IJCNN, 2022)

Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark. - Antonio Carta; Andrea Cossu; Federico Errica; Davide Bacciu (Frontiers Artif. Intell., 2022)

Is Class-Incremental Enough for Continual Learning? - Andrea Cossu; Gabriele Graffieti; Lorenzo Pellegrini; Davide Maltoni; Davide Bacciu; Antonio Carta; Vincenzo Lomonaco (Frontiers Artif. Intell., 2022)

Class-Incremental Learning with Repetition. - Hamed Hemati; Andrea Cossu; Antonio Carta; Julio Hurtado; Lorenzo Pellegrini; Davide Bacciu; Vincenzo Lomonaco; Damian Borth (CoLLAs, 2023)

A Protocol for Continual Explanation of SHAP. - Andrea Cossu; Francesco Spinnato; Riccardo Guidotti; Davide Bacciu (ESANN, 2023)

A Comprehensive Empirical Evaluation on Online Continual Learning. - Albin Soutif-Cormerais; Antonio Carta; Andrea Cossu; Julio Hurtado; Vincenzo Lomonaco; Joost van de Weijer 001; Hamed Hemati (ICCV (Workshops), 2023)

Avalanche: A PyTorch Library for Deep Continual Learning. - Antonio Carta; Lorenzo Pellegrini; Andrea Cossu; Hamed Hemati; Vincenzo Lomonaco (J. Mach. Learn. Res., 2023)

Deep Continual Learning (Dagstuhl Seminar 23122). - Tinne Tuytelaars; Bing Liu; Vincenzo Lomonaco; Gido van de Ven; Andrea Cossu (Dagstuhl Reports, 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)

Calibration of Continual Learning Models. - Lanpei Li; Elia Piccoli; Andrea Cossu; Davide Bacciu; Vincenzo Lomonaco (CVPR Workshops, 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)

Towards Deep Continual Workspace Monitoring: Performance Evaluation of CL Strategies for Object Detection in Working Sites. - Asli Çelik; Oguzhan Urhan; Andrea Cossu; Vincenzo Lomonaco (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)

MultiSTOP: Solving Functional Equations with Reinforcement Learning. - Alessandro Trenta; Davide Bacciu; Andrea Cossu; Pietro Ferrero (CoRR, 2024)

Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments. - Federico Giannini; Giacomo Ziffer; Andrea Cossu; Vincenzo Lomonaco (IEEE Intell. Syst., 2024)

Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning. - Antonio Carta; Andrea Cossu; Vincenzo Lomonaco; Davide Bacciu; Joost van de Weijer 001 (Neurocomputing, 2024)

Drifting explanations in continual learning. - Andrea Cossu; Francesco Spinnato; Riccardo Guidotti; Davide Bacciu (Neurocomputing, 2024)

Continual pre-training mitigates forgetting in language and vision. - Andrea Cossu; Antonio Carta; Lucia C. Passaro; Vincenzo Lomonaco; Tinne Tuytelaars; Davide Bacciu (Neural Networks, 2024)

Continual Learning: Applications and the Road Forward. - Eli Verwimp; Rahaf Aljundi; Shai Ben-David; Matthias Bethge; Andrea Cossu; Alexander Gepperth; Tyler L. Hayes; Eyke Hüllermeier; Christopher Kanan; Dhireesha Kudithipudi; Christoph H. Lampert; Martin Mundt; et al. (Trans. Mach. Learn. Res., 2024)

Lifelong Evolution of Swarms. - Lorenzo Leuzzi; Davide Bacciu; Sabine Hauert; Simon Jones; Andrea Cossu (GECCO, 2025)

Replay-free Online Continual Learning with Self-Supervised MultiPatches. - Giovanni A. Cignoni; Andrea Cossu; Alex Gomez-Villa; Joost van de Weijer 001; Antonio Carta (CoRR, 2025)

Learning and Transferring Physical Models through Derivatives. - Alessandro Trenta; Andrea Cossu; Davide Bacciu (CoRR, 2025)

Task-Agnostic Experts Composition for Continual Learning. - Luigi Quarantiello; Andrea Cossu; Vincenzo Lomonaco (CoRR, 2025)

CLA: Latent Alignment for Online Continual Self-Supervised Learning. - Giovanni A. Cignoni; Andrea Cossu; Alexandra Gomez-Villa; Joost van de Weijer 001; Antonio Carta (CoRR, 2025)