Andrea Cini

According to our database, Andrea Cini authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Object-Centric Relational Representations for Image Generation.

Luca Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi

Trans. Mach. Learn. Res., 2024

On the Regularization of Learnable Embeddings for Time Series Processing.

Luca Butera, Giovanni de Felice, Andrea Cini, Cesare Alippi

CoRR, 2024

Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting.

Andrea Cini, Danilo P. Mandic, Cesare Alippi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations.

Giovanni de Felice, Andrea Cini, Daniele Zambon, Vladimir V. Gusev, Cesare Alippi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Graph Neural Networks for High-Level Synthesis Design Space Exploration.

Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos, Cesare Alippi, Laura Pozzi

ACM Trans. Design Autom. Electr. Syst., March, 2023

Sparse Graph Learning from Spatiotemporal Time Series.

Andrea Cini, Daniele Zambon, Cesare Alippi

J. Mach. Learn. Res., 2023

Graph Deep Learning for Time Series Forecasting.

Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi

CoRR, 2023

Feudal Graph Reinforcement Learning.

Tommaso Marzi, Arshjot Khehra, Andrea Cini, Cesare Alippi

CoRR, 2023

Relational Inductive Biases for Object-Centric Image Generation.

Luca Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi

CoRR, 2023

Graph state-space models.

Daniele Zambon, Andrea Cini, Lorenzo Livi, Cesare Alippi

CoRR, 2023

Taming Local Effects in Graph-based Spatiotemporal Forecasting.

Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Scalable Spatiotemporal Graph Neural Networks.

Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Sparse Graph Learning for Spatiotemporal Time Series.

Andrea Cini, Daniele Zambon, Cesare Alippi

CoRR, 2022

Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations.

Ivan Marisca, Andrea Cini, Cesare Alippi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting.

Simone Eandi, Andrea Cini, Slobodan Lukovic, Cesare Alippi

Proceedings of the International Joint Conference on Neural Networks, 2022

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks.

Andrea Cini, Ivan Marisca, Cesare Alippi

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Gaussian Approximation for Bias Reduction in Q-Learning.

Carlo D'Eramo, Andrea Cini, Alessandro Nuara, Matteo Pirotta, Cesare Alippi, Jan Peters, Marcello Restelli

J. Mach. Learn. Res., 2021

A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration.

Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos, Cesare Alippi, Laura Pozzi

CoRR, 2021

Multivariate Time Series Imputation by Graph Neural Networks.

Andrea Cini, Ivan Marisca, Cesare Alippi

CoRR, 2021

2020

Deep Reinforcement Learning with Weighted Q-Learning.

Andrea Cini, Carlo D'Eramo, Jan Peters, Cesare Alippi

CoRR, 2020

Cluster-based Aggregate Load Forecasting with Deep Neural Networks.

Andrea Cini, Slobodan Lukovic, Cesare Alippi

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Exploiting Action-Value Uncertainty to Drive Exploration in Reinforcement Learning.

Carlo D'Eramo, Andrea Cini, Marcello Restelli

Proceedings of the International Joint Conference on Neural Networks, 2019