Andrea Cini

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Graph Theoretic

Reinforcement Learning

Top Venues

J. Mach. Learn. Res.

Publications

Luca Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi
Object-Centric Relational Representations for Image Generation. Trans. Mach. Learn. Res. 2024 (2024)
Giovanni de Felice, Andrea Cini, Daniele Zambon, Vladimir V. Gusev, Cesare Alippi
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. CoRR (2024)
Giovanni de Felice, Andrea Cini, Daniele Zambon, Vladimir V. Gusev, Cesare Alippi
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. ICLR (2024)
Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos, Cesare Alippi, Laura Pozzi
Graph Neural Networks for High-Level Synthesis Design Space Exploration. ACM Trans. Design Autom. Electr. Syst. 28 (2) (2023)
Tommaso Marzi, Arshjot Khehra, Andrea Cini, Cesare Alippi
Feudal Graph Reinforcement Learning. CoRR (2023)
Andrea Cini, Daniele Zambon, Cesare Alippi
Sparse Graph Learning from Spatiotemporal Time Series. J. Mach. Learn. Res. 24 (2023)
Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi
Scalable Spatiotemporal Graph Neural Networks. AAAI (2023)
Luca Girolamo Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi
Relational Inductive Biases for Object-Centric Image Generation. CoRR (2023)
Andrea Cini, Danilo Mandic, Cesare Alippi
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. CoRR (2023)
Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
Taming Local Effects in Graph-based Spatiotemporal Forecasting. NeurIPS (2023)
Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
Taming Local Effects in Graph-based Spatiotemporal Forecasting. CoRR (2023)
Daniele Zambon, Andrea Cini, Lorenzo Livi, Cesare Alippi
Graph state-space models. CoRR (2023)
Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
Graph Deep Learning for Time Series Forecasting. CoRR (2023)
Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi
Scalable Spatiotemporal Graph Neural Networks. CoRR (2022)
Ivan Marisca, Andrea Cini, Cesare Alippi
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. NeurIPS (2022)
Ivan Marisca, Andrea Cini, Cesare Alippi
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. CoRR (2022)
Andrea Cini, Daniele Zambon, Cesare Alippi
Sparse Graph Learning for Spatiotemporal Time Series. CoRR (2022)
Simone Eandi, Andrea Cini, Slobodan Lukovic, Cesare Alippi
Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting. IJCNN (2022)
Andrea Cini, Ivan Marisca, Cesare Alippi
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks. ICLR (2022)
Carlo D'Eramo, Andrea Cini, Alessandro Nuara, Matteo Pirotta, Cesare Alippi, Jan Peters, Marcello Restelli
Gaussian Approximation for Bias Reduction in Q-Learning. J. Mach. Learn. Res. 22 (2021)
Andrea Cini, Ivan Marisca, Cesare Alippi
Multivariate Time Series Imputation by Graph Neural Networks. CoRR (2021)
Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos, Cesare Alippi, Laura Pozzi
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration. CoRR (2021)
Andrea Cini, Slobodan Lukovic, Cesare Alippi
Cluster-based Aggregate Load Forecasting with Deep Neural Networks. IJCNN (2020)
Andrea Cini, Carlo D'Eramo, Jan Peters, Cesare Alippi
Deep Reinforcement Learning with Weighted Q-Learning. CoRR (2020)
Carlo D'Eramo, Andrea Cini, Marcello Restelli
Exploiting Action-Value Uncertainty to Drive Exploration in Reinforcement Learning. IJCNN (2019)