Cini, Andrea

15 publications

TMLR 2025 On Time Series Clustering with Graph Neural Networks Jonas Berg Hansen, Andrea Cini, Filippo Maria Bianchi
TMLR 2025 On the Regularization of Learnable Embeddings for Time Series Forecasting Luca Butera, Giovanni De Felice, Andrea Cini, Cesare Alippi
ICML 2025 Relational Conformal Prediction for Correlated Time Series Andrea Cini, Alexander Jenkins, Danilo Mandic, Cesare Alippi, Filippo Maria Bianchi
TMLR 2024 Feudal Graph Reinforcement Learning Tommaso Marzi, Arshjot Singh Khehra, Andrea Cini, Cesare Alippi
ICML 2024 Graph-Based Time Series Clustering for End-to-End Hierarchical Forecasting Andrea Cini, Danilo Mandic, Cesare Alippi
ICLR 2024 Graph-Based Virtual Sensing from Sparse and Partial Multivariate Observations Giovanni De Felice, Andrea Cini, Daniele Zambon, Vladimir Gusev, Cesare Alippi
TMLR 2024 Object-Centric Relational Representations for Image Generation Luca Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi
NeurIPSW 2023 Graph-Based Time Series Clustering for End-to-End Hierarchical Forecasting Andrea Cini, Danilo Mandic, Cesare Alippi
AAAI 2023 Scalable Spatiotemporal Graph Neural Networks Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi
JMLR 2023 Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini, Daniele Zambon, Cesare Alippi
NeurIPS 2023 Taming Local Effects in Graph-Based Spatiotemporal Forecasting Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
ICLR 2022 Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks Andrea Cini, Ivan Marisca, Cesare Alippi
NeurIPS 2022 Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations Ivan Marisca, Andrea Cini, Cesare Alippi
NeurIPSW 2022 Scalable Spatiotemporal Graph Neural Networks Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi
JMLR 2021 Gaussian Approximation for Bias Reduction in Q-Learning Carlo D'Eramo, Andrea Cini, Alessandro Nuara, Matteo Pirotta, Cesare Alippi, Jan Peters, Marcello Restelli