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Matteo Marchi
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2020 – today
- 2024
- [c4]Matteo Marchi, Stefano Soatto, Pratik Chaudhari, Paulo Tabuada:
Heat Death of Generative Models in Closed-Loop Learning. CDC 2024: 1524-1530 - [c3]Matteo Marchi, Jonathan Bunton, João Pedro Silvestre, Paulo Tabuada:
A Framework for Time-Varying Optimization via Derivative Estimation. ECC 2024: 2730-2735 - [i4]Matteo Marchi, Jonathan Bunton, João Pedro Silvestre, Paulo Tabuada:
A Framework for Time-Varying Optimization via Derivative Estimation. CoRR abs/2403.19088 (2024) - [i3]Matteo Marchi, Stefano Soatto, Pratik Chaudhari, Paulo Tabuada:
Heat Death of Generative Models in Closed-Loop Learning. CoRR abs/2404.02325 (2024) - [i2]Tian Yu Liu, Stefano Soatto, Matteo Marchi, Pratik Chaudhari, Paulo Tabuada:
Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI. CoRR abs/2405.14061 (2024) - 2023
- [j2]Matteo Marchi
, Jonathan Bunton
Sharp Performance Bounds for PASTA. IEEE Control. Syst. Lett. 7: 2401-2406 (2023) - 2022
- [j1]Matteo Marchi
Safety and Stability Guarantees for Control Loops With Deep Learning Perception. IEEE Control. Syst. Lett. 6: 1286-1291 (2022) - [c2]Matteo Marchi, Jonathan Bunton, Bahman Gharesifard, Paulo Tabuada
LiDAR Point Cloud Registration with Formal Guarantees. CDC 2022: 3462-3467 - [i1]Matteo Marchi, Lucas Fraile, Paulo Tabuada:
Dirty derivatives for output feedback stabilization. CoRR abs/2202.01941 (2022) - 2021
- [c1]Matteo Marchi, Bahman Gharesifard, Paulo Tabuada:
Training deep residual networks for uniform approximation guarantees. L4DC 2021: 677-688
Coauthor Index
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