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ORCIDIvan Marisca
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2020 – today
- 2024
[c5]Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi:
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling. ICML 2024- [i6]Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi:
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling. CoRR abs/2402.10634 (2024) - 2023
- [c4]Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi:
Scalable Spatiotemporal Graph Neural Networks. AAAI 2023: 7218-7226 - [c3]Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi:
Taming Local Effects in Graph-based Spatiotemporal Forecasting. NeurIPS 2023 - [i5]Andrea Cini, Ivan Marisca
, Daniele Zambon, Cesare Alippi:
Taming Local Effects in Graph-based Spatiotemporal Forecasting. CoRR abs/2302.04071 (2023) - [i4]Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi:
Graph Deep Learning for Time Series Forecasting. CoRR abs/2310.15978 (2023) - 2022
- [c2]Andrea Cini, Ivan Marisca, Cesare Alippi:
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks. ICLR 2022 - [c1]Ivan Marisca, Andrea Cini, Cesare Alippi:
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. NeurIPS 2022 - [i3]Ivan Marisca, Andrea Cini, Cesare Alippi:
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. CoRR abs/2205.13479 (2022) - [i2]Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi:
Scalable Spatiotemporal Graph Neural Networks. CoRR abs/2209.06520 (2022) - 2021
- [i1]Andrea Cini, Ivan Marisca, Cesare Alippi:
Multivariate Time Series Imputation by Graph Neural Networks. CoRR abs/2108.00298 (2021)
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