Matteo Marchi

13 papers Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Boiling Frogs: Generative Models, Synthetic Data, and the Opinions of their Users.
CDC
Matteo Marchi, João Pedro Silvestre, Stefano Soatto, Pratik Chaudhari, Paulo Tabuada
2025 — conf
Observability of Latent States in Generative AI Models.
NeuS
Tian Yu Liu, Stefano Soatto, Matteo Marchi, Pratik Chaudhari, Paulo Tabuada
2025 — conf
Time-varying Distributed Optimization with Derivative Estimation.
CDC
João Pedro Silvestre, Matteo Marchi, Paulo Tabuada
2024 — conf
A Framework for Time-Varying Optimization via Derivative Estimation.
ECC
Matteo Marchi, Jonathan Bunton, João Pedro Silvestre, Paulo Tabuada
2024 J jnl
A Framework for Time-Varying Optimization via Derivative Estimation.
CoRR
Matteo Marchi, Jonathan Bunton, João Pedro Silvestre, Paulo Tabuada
2024 — conf
Heat Death of Generative Models in Closed-Loop Learning.
CDC
Matteo Marchi, Stefano Soatto, Pratik Chaudhari, Paulo Tabuada
2024 J jnl
Heat Death of Generative Models in Closed-Loop Learning.
CoRR
Matteo Marchi, Stefano Soatto, Pratik Chaudhari, Paulo Tabuada
2024 J jnl
Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI.
CoRR
Tian Yu Liu, Stefano Soatto, Matteo Marchi, Pratik Chaudhari, Paulo Tabuada
2023 J jnl
Sharp Performance Bounds for PASTA.
IEEE Control. Syst. Lett.
Matteo Marchi, Jonathan Bunton, Yskandar Gas, Bahman Gharesifard, Paulo Tabuada
2022 J jnl
Dirty derivatives for output feedback stabilization.
CoRR
Matteo Marchi, Lucas Fraile, Paulo Tabuada
2022 — conf
LiDAR Point Cloud Registration with Formal Guarantees.
CDC
Matteo Marchi, Jonathan Bunton, Bahman Gharesifard, Paulo Tabuada
2022 J jnl
Safety and Stability Guarantees for Control Loops With Deep Learning Perception.
IEEE Control. Syst. Lett.
Matteo Marchi, Jonathan Bunton, Bahman Gharesifard, Paulo Tabuada
2021 — conf
Training deep residual networks for uniform approximation guarantees.
L4DC
Matteo Marchi, Bahman Gharesifard, Paulo Tabuada