no code implementations • 2 Apr 2024 • Matteo Marchi, Stefano Soatto, Pratik Chaudhari, Paulo Tabuada
The aim of this paper is to provide insights into this process (that we refer to as "generative closed-loop learning") by studying the learning dynamics of generative models that are fed back their own produced content in addition to their original training dataset.
no code implementations • 30 Mar 2020 • Lucas Fraile, Matteo Marchi, Paulo Tabuada
In this paper we propose a methodology for stabilizing single-input single-output feedback linearizable systems when no system model is known and no prior data is available to identify a model.
