Andrea Cini
Andrea Cini
PhD Student @ IDSIA, Università della Svizzera Italiana (USI)
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Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
A Cini, I Marisca, C Alippi
International Conference on Learning Representations (ICLR), 2022
Cluster-based aggregate load forecasting with deep neural networks
A Cini, S Lukovic, C Alippi
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
Exploiting action-value uncertainty to drive exploration in reinforcement learning
C D’Eramo, A Cini, M Restelli
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
Deep reinforcement learning with weighted Q-Learning
A Cini, C D'Eramo, J Peters, C Alippi
The Multi-disciplinary Conference on Reinforcement Learning and Decision …, 2022
Torch Spatiotemporal, 3 2022
A Cini, I Marisca
URL https://github. com/TorchSpatiotemporal/tsl, 0
Gaussian approximation for bias reduction in Q-learning
C D'Eramo, A Cini, A Nuara, M Pirotta, C Alippi, J Peters, M Restelli
Journal of Machine Learning Research 22, 1-51, 2021
Graph Neural Networks for High-Level Synthesis Design Space Exploration
L Ferretti, A Cini, G Zacharopoulos, C Alippi, L Pozzi
ACM Transactions on Design Automation of Electronic Systems, 2022
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations
I Marisca, A Cini, C Alippi
arXiv preprint arXiv:2205.13479, 2022
Scalable Spatiotemporal Graph Neural Networks
A Cini, I Marisca, FM Bianchi, C Alippi
arXiv preprint arXiv:2209.06520, 2022
Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting
S Eandi, A Cini, S Lukovic, C Alippi
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
Sparse Graph Learning for Spatiotemporal Time Series
A Cini, D Zambon, C Alippi
arXiv preprint arXiv:2205.13492, 2022
Underactuated Attitude Control with Deep Reinforcement Learning
M El Hariry, A Cini, A Balossino
Peak Shaving in Distribution Networks Using Stationary Energy Storage Systems: A Swiss Case Study
NA Efkarpidis, S Imoscopi, M Geidl, A Cini, S Lukovic, C Alippi, I Herbst
Available at SSRN 4259047, 0
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