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Andrea Cini
Andrea Cini
The Swiss AI Lab IDSIA & USI
Verified email at usi.ch - Homepage
Title
Cited by
Cited by
Year
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
852022
Learning to reconstruct missing data from spatiotemporal graphs with sparse observations
I Marisca, A Cini, C Alippi
Advances in Neural Information Processing Systems (NeurIPS), 2022
282022
Scalable spatiotemporal graph neural networks
A Cini, I Marisca, FM Bianchi, C Alippi
Proceedings of the AAAI conference on artificial intelligence 37 (6), 7218-7226, 2023
222023
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
192020
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 28 (2), 1-20, 2022
16*2022
Torch Spatiotemporal, 3 2022
A Cini, I Marisca
URL https://github. com/TorchSpatiotemporal/tsl 10, 0
15
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
122022
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
122019
Taming Local Effects in Graph-based Spatiotemporal Forecasting
A Cini, I Marisca, D Zambon, C Alippi
Advances in Neural Information Processing Systems (NeurIPS), 2023
82023
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
Sustainable Energy, Grids and Networks 34, 101018, 2023
62023
Sparse graph learning from spatiotemporal time series
A Cini, D Zambon, C Alippi
Journal of Machine Learning Research 24 (242), 1-36, 2023
62023
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
42021
Graph Deep Learning for Time Series Forecasting
A Cini, I Marisca, D Zambon, C Alippi
arXiv preprint arXiv:2310.15978, 2023
32023
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
A Cini, D Mandic, C Alippi
arXiv preprint arXiv:2305.19183, 2023
22023
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
22022
Feudal graph reinforcement learning
T Marzi, A Khehra, A Cini, C Alippi
arXiv preprint arXiv:2304.05099, 2023
12023
Graph state-space models
D Zambon, A Cini, L Livi, C Alippi
arXiv preprint arXiv:2301.01741, 2023
12023
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
G De Felice, A Cini, D Zambon, VV Gusev, C Alippi
International Conference on Learning Representations (ICLR), 2024
2024
Relational Inductive Biases for Object-Centric Image Generation
L Butera, A Cini, A Ferrante, C Alippi
arXiv preprint arXiv:2303.14681, 2023
2023
Underactuated Attitude Control with Deep Reinforcement Learning
M El Hariry, A Cini, A Balossino
2021
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