Andrea Cossu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 41

Top Topics

Echo State Networks

Incremental Learning

Structured Domains

Sequential Data

Top Venues

Publications

Alessandro Trenta, Davide Bacciu, Andrea Cossu, Pietro Ferrero
MultiSTOP: Solving Functional Equations with Reinforcement Learning. CoRR (2024)
Lanpei Li, Elia Piccoli, Andrea Cossu, Davide Bacciu, Vincenzo Lomonaco
Calibration of Continual Learning Models. CoRR (2024)
Andrea Cossu, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Tinne Tuytelaars, Davide Bacciu
Continual pre-training mitigates forgetting in language and vision. Neural Networks 179 (2024)
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, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven
Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. 2024 (2024)
Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
Drifting explanations in continual learning. Neurocomputing 597 (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)
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer
Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning. Neurocomputing 598 (2024)
Eli Verwimp, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven
Continual Learning: Applications and the Road Forward. CoRR (2023)
Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco
Avalanche: A PyTorch Library for Deep Continual Learning. CoRR (2023)
Tinne Tuytelaars, Bing Liu, Vincenzo Lomonaco, Gido van de Ven, Andrea Cossu
Deep Continual Learning (Dagstuhl Seminar 23122). Dagstuhl Reports 13 (3) (2023)
Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
Class-Incremental Learning with Repetition. CoLLAs (2023)
Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati
A Comprehensive Empirical Evaluation on Online Continual Learning. CoRR (2023)
Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
A Protocol for Continual Explanation of SHAP. CoRR (2023)
Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati
A Comprehensive Empirical Evaluation on Online Continual Learning. ICCV (Workshops) (2023)
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning. CoRR (2023)
Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
Class-Incremental Learning with Repetition. CoRR (2023)
Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
A Protocol for Continual Explanation of SHAP. ESANN (2023)
Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu
Continual Learning for Human State Monitoring. CoRR (2022)
Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco
Is Class-Incremental Enough for Continual Learning? Frontiers Artif. Intell. 5 (2022)
Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark. Frontiers Artif. Intell. 5 (2022)
Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu
Practical Recommendations for Replay-Based Continual Learning Methods. ICIAP Workshops (2022)
Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu
Sample Condensation in Online Continual Learning. CoRR (2022)
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
Ex-Model: Continual Learning from a Stream of Trained Models. CVPR Workshops (2022)
Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu
Sample Condensation in Online Continual Learning. IJCNN (2022)
Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu
Practical Recommendations for Replay-based Continual Learning Methods. CoRR (2022)
Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu
Continual Learning for Human State Monitoring. ESANN (2022)
Andrea Cossu, Tinne Tuytelaars, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Davide Bacciu
Continual Pre-Training Mitigates Forgetting in Language and Vision. CoRR (2022)
Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
Continual learning for recurrent neural networks: An empirical evaluation. Neural Networks 143 (2021)
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, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops (2021)
Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation. CoRR (2021)
Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco
Continual Learning with Echo State Networks. CoRR (2021)
Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco
Continual Learning with Echo State Networks. ESANN (2021)
Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco
Is Class-Incremental Enough for Continual Learning? CoRR (2021)
Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
Distilled Replay: Overcoming Forgetting Through Synthetic Samples. CSSL (2021)
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
Ex-Model: Continual Learning from a Stream of Trained Models. CoRR (2021)
Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification. CoRR (2021)
Andrea Cossu, Marta Ziosi, Vincenzo Lomonaco
Sustainable Artificial Intelligence through Continual Learning. CoRR (2021)
Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
Distilled Replay: Overcoming Forgetting through Synthetic Samples. CoRR (2021)
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, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
Avalanche: an End-to-End Library for Continual Learning. CoRR (2021)
Andrea Cossu, Antonio Carta, Davide Bacciu
Continual Learning with Gated Incremental Memories for sequential data processing. CoRR (2020)
Andrea Cossu, Antonio Carta, Davide Bacciu
Continual Learning with Gated Incremental Memories for sequential data processing. IJCNN (2020)