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Conference and Workshop Papers
- 2023
[c2]Riccardo Busetto, Valentina Breschi
, Simone Formentin:
META-SMGO-$\Delta$: Similarity as a Prior in Black-Box Optimization. CDC 2023: 1294-1299- 2022
- [c1]Riccardo Busetto, Thomas Nakken Larsen, Adil Rasheed, Damiano Varagnolo, Simone Formentin:
A receding-horizon estimation and control framework for the content sequencing problem. ECC 2022: 1908-1915
Informal and Other Publications
- 2024
- [i5]Riccardo Busetto, Valentina Breschi, Federica Baracchi, Simone Formentin:
Meta-learning of data-driven controllers with automatic model reference tuning: theory and experimental case study. CoRR abs/2403.14500 (2024) - 2023
- [i4]Riccardo Busetto, Valentina Breschi, Simone Formentin:
META-SMGO-Δ: similarity as a prior in black-box optimization. CoRR abs/2305.00438 (2023) - [i3]Riccardo Busetto, Valentina Breschi, Simone Formentin:
Meta-learning for model-reference data-driven control. CoRR abs/2308.15458 (2023) - [i2]Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin:
In-context learning of state estimators. CoRR abs/2312.04509 (2023) - [i1]Raffaele Giuseppe Cestari, Filippo Barchi, Riccardo Busetto, Daniele Marazzina, Simone Formentin:
Hawkes-based cryptocurrency forecasting via Limit Order Book data. CoRR abs/2312.16190 (2023)
Coauthor Index
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