You can find my full list of publications on Google Scholar.
Below, I am maintaining a selected list of papers.

Selected Publications

  • A. Cossu, D. Bacciu, A. Carta, C. Gallicchio, and V. Lomonaco, “Continual Learning with Echo State Networks”, European Symposium on Artificial Neural Networks (ESANN), 2021. doi:​
  • A. Cossu, T. Tuytelaars, A. Carta, L. Passaro, V. Lomonaco, and D. Bacciu, “Continual Pre-Training Mitigates Forgetting in Language and Vision”, arXiv, 2022,​
  • A. Cossu, A. Carta, V. Lomonaco, and D. Bacciu, “Continual learning for recurrent neural networks: An empirical evaluation”, Neural Networks, vol. 143, pp. 607–627, 2021, doi: 10.1016/j.neunet.2021.07.021​
  • V. Lomonaco, L. Pellegrini, A. Cossu, A. Carta, G. Graffieti, T. L. Hayes, M. De Lange, M. Masana, J. Pomponi, G. M. van de Ven, M. Mundt, Q. She, K. Cooper, J. Forest, E. Belouadah, S. Calderara, G. I. Parisi, F. Cuzzolin, A. S. Tolias, S. Scardapane, L. Antiga, S. Ahmad, A. Popescu, C. Kanan, J. van de Weijer, T. Tuytelaars, D. Bacciu, and D. Maltoni, “Avalanche: an End-to-End Library for Continual Learning”, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021, pp. 3595–3605. doi: 10.1109/CVPRW53098.2021.00399​
  • A. Carta, A. Cossu, V. Lomonaco, and D. Bacciu, “Ex-Model: Continual Learning from a Stream of Trained Models”, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022,​
  • A. Cossu, G. Graffieti, L. Pellegrini, D. Maltoni, D. Bacciu, A. Carta, and V. Lomonaco, “Is Class-Incremental Enough for Continual Learning?”, Frontiers in Artificial Intelligence, vol. 5, 2022,​