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ORCIDAndrea Cini
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2020 – today
- 2024
[j4]Luca Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi:
Object-Centric Relational Representations for Image Generation. Trans. Mach. Learn. Res. 2024 (2024)- [c9]Giovanni de Felice, Andrea Cini, Daniele Zambon, Vladimir V. Gusev, Cesare Alippi:
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. ICLR 2024 - [c8]Andrea Cini, Danilo P. Mandic, Cesare Alippi:
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. ICML 2024 - [i13]Giovanni de Felice, Andrea Cini, Daniele Zambon, Vladimir V. Gusev, Cesare Alippi:
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. CoRR abs/2402.12598 (2024) - 2023
- [j3]Andrea Cini, Daniele Zambon, Cesare Alippi:
Sparse Graph Learning from Spatiotemporal Time Series. J. Mach. Learn. Res. 24: 242:1-242:36 (2023) - [j2]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): 25:1-25:20 (2023) - [c7]Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi:
Scalable Spatiotemporal Graph Neural Networks. AAAI 2023: 7218-7226 - [c6]Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi:
Taming Local Effects in Graph-based Spatiotemporal Forecasting. NeurIPS 2023 - [i12]Daniele Zambon, Andrea Cini, Lorenzo Livi, Cesare Alippi:
Graph state-space models. CoRR abs/2301.01741 (2023) - [i11]Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi:
Taming Local Effects in Graph-based Spatiotemporal Forecasting. CoRR abs/2302.04071 (2023) - [i10]Luca Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi:
Relational Inductive Biases for Object-Centric Image Generation. CoRR abs/2303.14681 (2023) - [i9]Tommaso Marzi, Arshjot Khehra, Andrea Cini, Cesare Alippi:
Feudal Graph Reinforcement Learning. CoRR abs/2304.05099 (2023) - [i8]Andrea Cini, Danilo P. Mandic, Cesare Alippi:
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. CoRR abs/2305.19183 (2023) - [i7]Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi:
Graph Deep Learning for Time Series Forecasting. CoRR abs/2310.15978 (2023) - 2022
- [c5]Andrea Cini, Ivan Marisca, Cesare Alippi:
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks. ICLR 2022 - [c4]Simone Eandi, Andrea Cini, Slobodan Lukovic, Cesare Alippi:
Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting. IJCNN 2022: 1-8 - [c3]Ivan Marisca, Andrea Cini, Cesare Alippi:
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. NeurIPS 2022 - [i6]Ivan Marisca, Andrea Cini, Cesare Alippi:
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. CoRR abs/2205.13479 (2022) - [i5]Andrea Cini, Daniele Zambon, Cesare Alippi:
Sparse Graph Learning for Spatiotemporal Time Series. CoRR abs/2205.13492 (2022) - [i4]Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi:
Scalable Spatiotemporal Graph Neural Networks. CoRR abs/2209.06520 (2022) - 2021
- [j1]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: 277:1-277:51 (2021) - [i3]Andrea Cini, Ivan Marisca, Cesare Alippi:
Multivariate Time Series Imputation by Graph Neural Networks. CoRR abs/2108.00298 (2021) - [i2]Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos, Cesare Alippi, Laura Pozzi:
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration. CoRR abs/2111.14767 (2021) - 2020
- [c2]Andrea Cini, Slobodan Lukovic, Cesare Alippi:
Cluster-based Aggregate Load Forecasting with Deep Neural Networks. IJCNN 2020: 1-8 - [i1]Andrea Cini, Carlo D'Eramo, Jan Peters, Cesare Alippi:
Deep Reinforcement Learning with Weighted Q-Learning. CoRR abs/2003.09280 (2020)
2010 – 2019
- 2019
- [c1]Carlo D'Eramo, Andrea Cini, Marcello Restelli:
Exploiting Action-Value Uncertainty to Drive Exploration in Reinforcement Learning. IJCNN 2019: 1-8
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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