Giacomo Baggio

🔍 I explore how to understand and influence the behavior of complex systems using tools from dynamical systems and control theory.

🔬 My research covers both theoretical aspects, including fundamental limits, trade-offs, and guarantees in complex systems, and applications where structure, dynamics, and data play a central role, as in neuroscience.

📍 Room 317 DEI/A, Via Gradenigo 6/B, 35131 Padova, Italy
✉️ giacomo [dot] baggio [at] unipd [dot] it
📞 +39 049 8277610

news

Sep 25, 2026	Paper on sequential retrieval in input-driven Hopfield networks accepted at NeurIPS 2026! 🎉 (more details soon)
Sep 14, 2026	Received a Teaching Merit Award from the University of Padova for outstanding teaching activity in the 2024/25 A.Y.
Mar 05, 2026	Two new preprints investigating the role of state feedback and LTI selectivity mechanisms in generative AI SSMs. Feedback is welcome!

selected recent publications

Input-Driven Dynamics for Robust Memory Retrieval in Hopfield Networks

Simone Betteti, Giacomo Baggio, Francesco Bullo, and Sandro Zampieri

Science Advances, 2025

DOI Press Bib

@article{betteti2025input,
  title = {Input-Driven Dynamics for Robust Memory Retrieval in {H}opfield Networks},
  author = {Betteti, Simone and Baggio, Giacomo and Bullo, Francesco and Zampieri, Sandro},
  journal = {Science Advances},
  volume = {11},
  number = {17},
  pages = {eadu6991},
  year = {2025},
  press = {https://news.ucsb.edu/2025/021867/energy-and-memory-new-neural-network-paradigm},
  doi = {10.1126/sciadv.adu6991},
}

Controllability of Large-Scale Networks: The Control Energy Exponents

Giacomo Baggio, and Sandro Zampieri

IEEE Transactions on Control of Network Systems, 2024

Awarded DOI Bib

IEEE CSS-Italy Best Young Author Paper Award 2024, Finalist

@article{baggio2024controllability,
  title = {Controllability of Large-Scale Networks: The Control Energy Exponents},
  author = {Baggio, Giacomo and Zampieri, Sandro},
  journal = {IEEE Transactions on Control of Network Systems},
  volume = {11},
  number = {2},
  pages = {808-820},
  year = {2024},
  doi = {10.1109/TCNS.2023.3312251},
}

Closed-form and Robust Expressions for Data-driven LQ Control

Federico Celi, Giacomo Baggio, and Fabio Pasqualetti

Annual Reviews in Control, 2023

DOI Bib

@article{celi2023closed,
  title = {Closed-form and Robust Expressions for Data-driven LQ Control},
  author = {Celi, Federico and Baggio, Giacomo and Pasqualetti, Fabio},
  journal = {Annual Reviews in Control},
  volume = {56},
  pages = {100916},
  year = {2023},
  doi = {10.1016/j.arcontrol.2023.100916},
}