Andrea Sassella

According to our database, Andrea Sassella authored at least 14 papers between 2021 and 2026.

Collaborative distances:

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

2026

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs.

Andrea Sassella, Andrea Chizzola, Tommaso Bianchi, Luca Alessandrelli, Mark James Carman

CoRR, May, 2026

From Instructions to Assistance: a Dataset Aligning Instruction Manuals with Assembly Videos for Evaluating Multimodal LLMs.

Federico Toschi, Nicolò Brunello, Andrea Sassella, Vincenzo Scotti, Mark James Carman

CoRR, March, 2026

Are complicated loss functions necessary for teaching LLMs to reason?

Gabriele Carrino, Andrea Sassella, Nicolò Brunello, Federico Toschi, Mark James Carman

CoRR, March, 2026

2025

InTraVisTo: Inside Transformer Visualisation Tool.

Nicolò Brunello, Davide Rigamonti, Andrea Sassella, Vincenzo Scotti, Mark James Carman

CoRR, July, 2025

LLM-based Method for Constructing Fault Trees.

Haoran Liu, Dario Valcamonico, Stefano Marchetti, Andrea Sassella, Piero Baraldi, Francesco Di Maio, Enrico Zio, Rui Kang

Proceedings of the 2025 9th International Conference on System Reliability and Safety (ICSRS), 2025

2023

On the Design of Regularized Explicit Predictive Controllers From Input-Output Data.

Valentina Breschi, Andrea Sassella, Simone Formentin

IEEE Trans. Autom. Control., August, 2023

Data-Driven Design of Explicit Predictive Controllers With Structural Priors.

Valentina Breschi, Andrea Sassella, Simone Formentin

IEEE Control. Syst. Lett., 2023

On queue length estimation in urban traffic intersections via inductive loops.

Andrea Sassella, Francesco Abbracciavento, Simone Formentin, Andrea G. Bianchessi, Sergio M. Savaresi

Proceedings of the American Control Conference, 2023

2022

Data-driven design of explicit predictive controllers using model-based priors.

Valentina Breschi, Andrea Sassella, Simone Formentin

CoRR, 2022

Noise Handling in Data-driven Predictive Control: A Strategy Based on Dynamic Mode Decomposition.

Andrea Sassella, Valentina Breschi, Simone Formentin

Proceedings of the Learning for Dynamics and Control Conference, 2022

Data-driven design of explicit predictive controllers.

Andrea Sassella, Valentina Breschi, Simone Formentin

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Learning explicit predictive controllers: theory and applications.

Andrea Sassella, Valentina Breschi, Simone Formentin

CoRR, 2021

Data-driven design of switching reference governors for brake-by-wire applications.

Andrea Sassella, Valentina Breschi, Simone Formentin

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Direct data-driven design of switching controllers for constrained systems.

Andrea Sassella, Valentina Breschi, Simone Formentin

Proceedings of the 2021 American Control Conference, 2021