2 citations · 3 across the 4 of their papers we have counts for
5 papers
PESTO: Formally Correct Registration of LiDAR Point Clouds with Limited Overlap
Valen Yamamoto, Matteo Marchi, Paulo Tabuada
In this paper we tackle the problem of aligning LiDAR point clouds also known as the point cloud registration problem. We propose a new algorithm, PESTO, that exploits tetrahedra a…
Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI
Tian Yu Liu, Stefano Soatto, Matteo Marchi +2
We tackle the question of whether Large Language Models (LLMs), viewed as dynamical systems with state evolving in the embedding space of symbolic tokens, are observable. That is,…
Heat Death of Generative Models in Closed-Loop Learning
Matteo Marchi, Stefano Soatto, Pratik Chaudhari +1
Improvement and adoption of generative machine learning models is rapidly accelerating, as exemplified by the popularity of LLMs (Large Language Models) for text, and diffusion mod…
A Framework for Time-Varying Optimization via Derivative Estimation
Matteo Marchi, Jonathan Bunton, João Pedro Silvestre +1
Optimization algorithms have a rich and fundamental relationship with ordinary differential equations given by its continuous-time limit. When the cost function varies with time --…
Dirty derivatives for output feedback stabilization
Matteo Marchi, Lucas Fraile, Paulo Tabuada
Dirty derivatives are routinely used in industrial settings, particularly in the implementation of the derivative term in PID control, and are especially appealing due to their noi…