Exploiting Action-Value Uncertainty to Drive Exploration in Reinforcement Learning. - Carlo D'Eramo; Andrea Cini; Marcello Restelli (IJCNN, 2019)

Cluster-based Aggregate Load Forecasting with Deep Neural Networks. - Andrea Cini; Slobodan Lukovic; Cesare Alippi (IJCNN, 2020)

Deep Reinforcement Learning with Weighted Q-Learning. - Andrea Cini; Carlo D'Eramo; Jan Peters 001; Cesare Alippi (CoRR, 2020)

Multivariate Time Series Imputation by Graph Neural Networks. - Andrea Cini; Ivan Marisca; Cesare Alippi (CoRR, 2021)

A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration. - Lorenzo Ferretti; Andrea Cini; Georgios Zacharopoulos; Cesare Alippi; Laura Pozzi 001 (CoRR, 2021)

Gaussian Approximation for Bias Reduction in Q-Learning. - Carlo D'Eramo; Andrea Cini; Alessandro Nuara; Matteo Pirotta; Cesare Alippi; Jan Peters 001; Marcello Restelli (J. Mach. Learn. Res., 2021)

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks. - Andrea Cini; Ivan Marisca; Cesare Alippi (ICLR, 2022)

Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting. - Simone Eandi; Andrea Cini; Slobodan Lukovic; Cesare Alippi (IJCNN, 2022)

Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. - Ivan Marisca; Andrea Cini; Cesare Alippi (NeurIPS, 2022)

Sparse Graph Learning for Spatiotemporal Time Series. - Andrea Cini; Daniele Zambon; Cesare Alippi (CoRR, 2022)

Scalable Spatiotemporal Graph Neural Networks. - Andrea Cini; Ivan Marisca; Filippo Maria Bianchi; Cesare Alippi (AAAI, 2023)

Taming Local Effects in Graph-based Spatiotemporal Forecasting. - Andrea Cini; Ivan Marisca; Daniele Zambon; Cesare Alippi (NeurIPS, 2023)

Graph state-space models. - Daniele Zambon; Andrea Cini; Lorenzo Livi; Cesare Alippi (CoRR, 2023)

Relational Inductive Biases for Object-Centric Image Generation. - Luca Butera; Andrea Cini; Alberto Ferrante; Cesare Alippi (CoRR, 2023)

Sparse Graph Learning from Spatiotemporal Time Series. - Andrea Cini; Daniele Zambon; Cesare Alippi (J. Mach. Learn. Res., 2023)

Graph Neural Networks for High-Level Synthesis Design Space Exploration. - Lorenzo Ferretti; Andrea Cini; Georgios Zacharopoulos; Cesare Alippi; Laura Pozzi 001 (ACM Trans. Design Autom. Electr. Syst., 2023)

Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. - Giovanni de Felice; Andrea Cini; Daniele Zambon; Vladimir V. Gusev; Cesare Alippi (ICLR, 2024)

Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. - Andrea Cini; Danilo P. Mandic; Cesare Alippi (ICML, 2024)

On the Regularization of Learnable Embeddings for Time Series Processing. - Luca Butera; Giovanni de Felice; Andrea Cini; Cesare Alippi (CoRR, 2024)

Object-Centric Relational Representations for Image Generation. - Luca Butera; Andrea Cini; Alberto Ferrante; Cesare Alippi (Trans. Mach. Learn. Res., 2024)

Feudal Graph Reinforcement Learning. - Tommaso Marzi; Arshjot Singh Khehra; Andrea Cini; Cesare Alippi (Trans. Mach. Learn. Res., 2024)

On the Regularization of Learnable Embeddings for Time Series Forecasting. - Luca Butera; Giovanni de Felice; Andrea Cini; Cesare Alippi (Trans. Mach. Learn. Res., 2025)

On Time Series Clustering with Graph Neural Networks. - Jonas Berg Hansen; Andrea Cini; Filippo Maria Bianchi (Trans. Mach. Learn. Res., 2025)

Relational Conformal Prediction for Correlated Time Series. - Andrea Cini; Alexander Jenkins; Danilo P. Mandic; Cesare Alippi; Filippo Maria Bianchi (CoRR, 2025)

Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements. - 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; et al. (CoRR, 2025)

Deep Reinforcement Learning Policies for Underactuated Satellite Attitude Control. - Matteo El Hariry; Andrea Cini; Giacomo Mellone; Alessandro Balossino (CoRR, 2025)

Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning. - Tommaso Marzi; Cesare Alippi; Andrea Cini (CoRR, 2025)

Graph Deep Learning for Time Series Forecasting. - Andrea Cini; Ivan Marisca; Daniele Zambon; Cesare Alippi (ACM Comput. Surv., 2025)