Learning dynamical information from static protein and sequencing data
Sign Up to like & getrecommendations! Published in 2019 at "Nature Communications"
DOI: 10.1038/s41467-019-13307-x
Abstract: Many complex processes, from protein folding to neuronal network dynamics, can be described as stochastic exploration of a high-dimensional energy landscape. Although efficient algorithms for cluster detection in high-dimensional spaces have been developed over the… read more here.
Keywords: high dimensional; network; learning dynamical; time ... See more keywords
Learning Dynamical Systems From Quantized Observations: A Bayesian Perspective
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2021.3122385
Abstract: Identification of dynamical systems from low-resolution quantized observations presents several challenges because of the limited amount of information available in the data and since proper algorithms have to be designed to handle the error due… read more here.
Keywords: learning dynamical; quantized observations; systems quantized; dynamical systems ... See more keywords
Cooperative Finitely Excited Learning for Dynamical Games.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2023.3274908
Abstract: In this article, we propose a way to enhance the learning framework for zero-sum games with dynamics evolving in continuous time. In contrast to the conventional centralized actor-critic learning, a novel cooperative finitely excited learning… read more here.
Keywords: dynamical games; learning dynamical; approach; cooperative finitely ... See more keywords