1. arXiv
    Scalable Spatiotemporal Graph Neural Networks
    A. Cini*, I. Marisca*, F.M. Bianchi, and C. Alippi
    In arXiv preprint arXiv:2205.13479 2022
  2. NeurIPS
    Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations
    I. Marisca*,  A. Cini*, and C. Alippi
    In Advances in Neural Information Processing Systems 2022
  3. arXiv
    Sparse Graph Learning for Spatiotemporal Time Series
    A. Cini, D. Zambon, and C. Alippi
    In arXiv preprint arXiv:2205.13492 2022
  4. arXiv
    Deep Reinforcement Learning with Weighted Q-Learning
    A. Cini, C. D’Eramo, J. Peters, and C. Alippi
    The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM) 2022
  5. ICLR
    Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
    A. Cini*, I. Marisca*, and C. Alippi
    In International Conference on Learning Representations 2022


  1. arXiv
    A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration
    L. Ferretti*,  A. Cini*, G. Zacharopoulos, C. Alippi, and L. Pozzi
    arXiv preprint arXiv:2111.14767 2021
  2. JMLR
    Gaussian Approximation for Bias Reduction in Q-Learning
    C. D’Eramo*,  A. Cini*, A. Nuara, M. Pirotta, C. Alippi, J. Peters, and M. Restelli
    Journal of Machine Learning Research 2021


  1. IJCNN
    Cluster-based Aggregate Load Forecasting with Deep Neural Networks
    A. Cini, S. Lukovic, and C. Alippi
    In 2020 International Joint Conference on Neural Networks (IJCNN) 2020


  1. IJCNN
    Exploiting Action-Value uncertainty to drive exploration in reinforcement learning
    C. D’Eramo,  A. Cini, and M. Restelli
    In 2019 International Joint Conference on Neural Networks (IJCNN) 2019