Alippi, Cesare

27 publications

NeurIPS 2025 Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games Runyu Lu, Peng Zhang, Ruochuan Shi, Yuanheng Zhu, Dongbin Zhao, Yang Liu, Dong Wang, Cesare Alippi

ICML 2025 Learning Latent Graph Structures and Their Uncertainty Alessandro Manenti, Daniele Zambon, Cesare Alippi

TMLR 2025 On the Regularization of Learnable Embeddings for Time Series Forecasting Luca Butera, Giovanni De Felice, Andrea Cini, Cesare Alippi

NeurIPS 2025 Over-Squashing in Spatiotemporal Graph Neural Networks Ivan Marisca, Jacob Bamberger, Cesare Alippi, Michael M. Bronstein

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 Forecasting with Missing Data Through Spatiotemporal Downsampling Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi

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

ICMLW 2024 Learning Latent Graph Structures and Their Uncertainty Alessandro Manenti, Daniele Zambon, Cesare Alippi

TMLR 2024 Object-Centric Relational Representations for Image Generation Luca Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi

IJCAI 2024 Temporal Graph ODEs for Irregularly-Sampled Time Series Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi

NeurIPSW 2023 Graph Kalman Filters Daniele Zambon, 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

NeurIPS 2022 AZ-Whiteness Test: A Test for Signal Uncorrelation on Spatio-Temporal Graphs 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

ICLR 2021 Graph Edit Networks Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer

NeurIPS 2021 Learning Graph Cellular Automata Daniele Grattarola, Lorenzo Livi, Cesare Alippi

ICML 2020 Graph Random Neural Features for Distance-Preserving Graph Representations Daniele Zambon, Cesare Alippi, Lorenzo Livi

ICML 2020 Spectral Clustering with Graph Neural Networks for Graph Pooling Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi

IJCAI 2016 Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss Cesare Alippi, Giacomo Boracchi, Diego Carrera, Manuel Roveri