Andrea Cini - RankMe

39 papers A* 7B 3Journal 28Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep Reinforcement Learning Policies for Underactuated Satellite Attitude Control. CoRR Matteo El Hariry, Andrea Cini, Giacomo Mellone, Alessandro Balossino
2025	J	`jnl`	Graph Deep Learning for Time Series Forecasting. ACM Comput. Surv. Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
2025	J	`jnl`	Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning. CoRR Tommaso Marzi, Cesare Alippi, Andrea Cini
2025	J	`jnl`	Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements. CoRR Alexander Jenkins, Andrea Cini, Joseph Barker, Alexander Sharp, Arunashis Sau, Varun Valentine, Srushti Valasang, Xinyang Li, Tom Wong, Timothy Betts, Danilo P. Mandic, Cesare Alippi, Fu Siong Ng
2025	J	`jnl`	On Time Series Clustering with Graph Neural Networks. Trans. Mach. Learn. Res. Jonas Berg Hansen, Andrea Cini, Filippo Maria Bianchi
2025	J	`jnl`	On the Regularization of Learnable Embeddings for Time Series Forecasting. Trans. Mach. Learn. Res. Luca Butera, Giovanni de Felice, Andrea Cini, Cesare Alippi
2025	A*	`conf`	Relational Conformal Prediction for Correlated Time Series. ICML Andrea Cini, Alexander Jenkins, Danilo P. Mandic, Cesare Alippi, Filippo Maria Bianchi
2025	J	`jnl`	Relational Conformal Prediction for Correlated Time Series. CoRR Andrea Cini, Alexander Jenkins, Danilo P. Mandic, Cesare Alippi, Filippo Maria Bianchi
2025	J	`jnl`	ResCP: Reservoir Conformal Prediction for Time Series Forecasting. CoRR Roberto Neglia, Andrea Cini, Michael M. Bronstein, Filippo Maria Bianchi
2025	—	`conf`	Temporal Graph Learning Workshop. KDD (2) Shenyang Huang, Daniele Zambon, Andrea Cini, Farimah Poursafaei, Jacob Chmura, Julia Gastinger, Reihaneh Rabbany, Michael M. Bronstein
2025	J	`jnl`	What Matters in Deep Learning for Time Series Forecasting? CoRR Valentina Moretti, Andrea Cini, Ivan Marisca, Cesare Alippi
2024	J	`jnl`	Feudal Graph Reinforcement Learning. Trans. Mach. Learn. Res. Tommaso Marzi, Arshjot Singh Khehra, Andrea Cini, Cesare Alippi
2024	A*	`conf`	Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. ICML Andrea Cini, Danilo P. Mandic, Cesare Alippi
2024	A*	`conf`	Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. ICLR Giovanni de Felice, Andrea Cini, Daniele Zambon, Vladimir V. Gusev, Cesare Alippi
2024	J	`jnl`	Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. CoRR Giovanni de Felice, Andrea Cini, Daniele Zambon, Vladimir V. Gusev, Cesare Alippi
2024	J	`jnl`	Object-Centric Relational Representations for Image Generation. Trans. Mach. Learn. Res. Luca Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi
2024	J	`jnl`	On the Regularization of Learnable Embeddings for Time Series Processing. CoRR Luca Butera, Giovanni de Felice, Andrea Cini, Cesare Alippi
2023	J	`jnl`	Feudal Graph Reinforcement Learning. CoRR Tommaso Marzi, Arshjot Singh Khehra, Andrea Cini, Cesare Alippi
2023	J	`jnl`	Graph Deep Learning for Time Series Forecasting. CoRR Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
2023	J	`jnl`	Graph Neural Networks for High-Level Synthesis Design Space Exploration. ACM Trans. Design Autom. Electr. Syst. Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos, Cesare Alippi, Laura Pozzi
2023	J	`jnl`	Graph state-space models. CoRR Daniele Zambon, Andrea Cini, Lorenzo Livi, Cesare Alippi
2023	J	`jnl`	Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. CoRR Andrea Cini, Danilo P. Mandic, Cesare Alippi
2023	J	`jnl`	Relational Inductive Biases for Object-Centric Image Generation. CoRR Luca Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi
2023	A*	`conf`	Scalable Spatiotemporal Graph Neural Networks. AAAI Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi
2023	J	`jnl`	Sparse Graph Learning from Spatiotemporal Time Series. J. Mach. Learn. Res. Andrea Cini, Daniele Zambon, Cesare Alippi
2023	A*	`conf`	Taming Local Effects in Graph-based Spatiotemporal Forecasting. NeurIPS Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
2023	J	`jnl`	Taming Local Effects in Graph-based Spatiotemporal Forecasting. CoRR Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
2022	A*	`conf`	Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks. ICLR Andrea Cini, Ivan Marisca, Cesare Alippi
2022	A*	`conf`	Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. NeurIPS Ivan Marisca, Andrea Cini, Cesare Alippi
2022	J	`jnl`	Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. CoRR Ivan Marisca, Andrea Cini, Cesare Alippi
2022	J	`jnl`	Scalable Spatiotemporal Graph Neural Networks. CoRR Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi
2022	J	`jnl`	Sparse Graph Learning for Spatiotemporal Time Series. CoRR Andrea Cini, Daniele Zambon, Cesare Alippi
2022	B	`conf`	Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting. IJCNN Simone Eandi, Andrea Cini, Slobodan Lukovic, Cesare Alippi
2021	J	`jnl`	A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration. CoRR Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos, Cesare Alippi, Laura Pozzi
2021	J	`jnl`	Gaussian Approximation for Bias Reduction in Q-Learning. J. Mach. Learn. Res. Carlo D'Eramo, Andrea Cini, Alessandro Nuara, Matteo Pirotta, Cesare Alippi, Jan Peters, Marcello Restelli
2021	J	`jnl`	Multivariate Time Series Imputation by Graph Neural Networks. CoRR Andrea Cini, Ivan Marisca, Cesare Alippi
2020	B	`conf`	Cluster-based Aggregate Load Forecasting with Deep Neural Networks. IJCNN Andrea Cini, Slobodan Lukovic, Cesare Alippi
2020	J	`jnl`	Deep Reinforcement Learning with Weighted Q-Learning. CoRR Andrea Cini, Carlo D'Eramo, Jan Peters, Cesare Alippi
2019	B	`conf`	Exploiting Action-Value Uncertainty to Drive Exploration in Reinforcement Learning. IJCNN Carlo D'Eramo, Andrea Cini, Marcello Restelli