Matteo Tomasetto

According to our database, Matteo Tomasetto authored at least 5 papers between 2024 and 2025.

Collaborative distances:

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

2025

HypeMARL: Multi-Agent Reinforcement Learning For High-Dimensional, Parametric, and Distributed Systems.

Nicolò Botteghi, Matteo Tomasetto, Urban Fasel, Francesco Braghin, Andrea Manzoni

CoRR, September, 2025

PySHRED: A Python package for SHallow REcurrent Decoding for sparse sensing, model reduction and scientific discovery.

David Ye, Jan P. Williams, Mars Liyao Gao, Stefano Riva, Matteo Tomasetto, David Zoro, J. Nathan Kutz

CoRR, July, 2025

Reduced Order Modeling with Shallow Recurrent Decoder Networks.

Matteo Tomasetto, Jan P. Williams, Francesco Braghin, Andrea Manzoni, J. Nathan Kutz

CoRR, February, 2025

2024

Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models.

Matteo Tomasetto, Francesco Braghin, Andrea Manzoni

CoRR, 2024

Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models.

Matteo Tomasetto, Andrea Manzoni, Francesco Braghin

CoRR, 2024