Riccardo Busetto

According to our database, Riccardo Busetto authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Learning Low-Dimensional Embeddings for Black-Box Optimization.

Riccardo Busetto, Manas Mejari, Marco Forgione, Alberto Bemporad, Dario Piga

CoRR, May, 2025

In-Context Learning for Zero-Shot Speed Estimation of BLDC motors.

Alessandro Colombo, Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin

CoRR, April, 2025

Meta-learning for model-reference data-driven control.

Riccardo Busetto, Valentina Breschi, Simone Formentin

Autom., 2025

2024

One controller to rule them all.

Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin

CoRR, 2024

Meta-learning of data-driven controllers with automatic model reference tuning: theory and experimental case study.

Riccardo Busetto, Valentina Breschi, Federica Baracchi, Simone Formentin

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Hawkes-based cryptocurrency forecasting via Limit Order Book data.

Raffaele Giuseppe Cestari, Filippo Barchi, Riccardo Busetto, Daniele Marazzina, Simone Formentin

CoRR, 2023

In-context learning of state estimators.

Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin

CoRR, 2023

META-SMGO-Δ: similarity as a prior in black-box optimization.

Riccardo Busetto, Valentina Breschi, Simone Formentin

CoRR, 2023

META-SMGO-$\Delta$: Similarity as a Prior in Black-Box Optimization.

Riccardo Busetto, Valentina Breschi, Simone Formentin

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

A receding-horizon estimation and control framework for the content sequencing problem.

Riccardo Busetto, Thomas Nakken Larsen, Adil Rasheed, Damiano Varagnolo, Simone Formentin

Proceedings of the European Control Conference, 2022