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

news

Mar 13, 2026	Paper on sequential retrieval in input-driven Hopfield networks accepted at ICLR NFAM Workshop 🎉
Mar 05, 2026	Two new preprints investigating the role of state feedback and LTI selectivity mechanisms in generative AI SSMs. Feedback is welcome!
Jun 05, 2025	Pleased to deliver a talk at Lund University and take part in the PhD defense committee of Jonas Hansson. Congrats to him and to his excellent advisors, Emma Tegling and Anders Rantzer!

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},
}