1. arXiv
    Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
    A. Cini, D. Mandic, and C. Alippi
    arXiv preprint arXiv:2305.19183 2023
  2. arXiv
    Taming Local Effects in Graph-based Spatiotemporal Forecasting
    A. Cini*, I. Marisca*, D. Zambon, and C. Alippi
    arXiv preprint arXiv:2302.04071 2023
  3. AAAI
    Scalable Spatiotemporal Graph Neural Networks
    A. Cini*, I. Marisca*, F.M. Bianchi, and C. Alippi
    In Proceedings of the AAAI Conference on Artificial Intelligence 2023
  4. SEGAN
    Peak shaving in distribution networks using stationary energy storage systems: A Swiss case study
    N. A Efkarpidis, S. Imoscopi, M. Geidl,  A. Cini, S. Lukovic, C. Alippi, and I. Herbst
    Sustainable Energy, Grids and Networks 2023
  5. JMLR
    Sparse Graph Learning from Spatiotemporal Time Series
    A. Cini, D. Zambon, and C. Alippi
    Journal of Machine Learning Research 2023
  6. arXiv
    Graph state-space models
    D. Zambon,  A. Cini, L. Livi, and C. Alippi
    In arXiv preprint arXiv:2301.01741 2023


  1. 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
  2. RLDM
    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
  3. 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
    Graph Neural Networks for High-Level Synthesis Design Space Exploration
    L. Ferretti*,  A. Cini*, G. Zacharopoulos, C. Alippi, and L. Pozzi
    ACM Trans. Des. Autom. Electron. Syst. 2022


  1. 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