Regularization and Bayesian Learning in Dynamical Systems: Past, Present and Future

4 November 2015

Papers citing "Regularization and Bayesian Learning in Dynamical Systems: Past, Present and Future"

6 / 6 papers shown

Title
Maximum likelihood inference for high-dimensional problems with multiaffine variable relations Jean-Sébastien Brouillon Florian Dörfler Giancarlo Ferrari-Trecate 40 0 0 05 Sep 2024
Deep networks for system identification: a Survey G. Pillonetto Aleksandr Aravkin Daniel Gedon L. Ljung Antônio H. Ribeiro Thomas B. Schon OOD 35 35 0 30 Jan 2023
Robust Bayesian Subspace Identification for Small Data Sets A. R. Mesquita 18 0 0 29 Dec 2022
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyper-parameter Estimator Yue Ju Biqiang Mu L. Ljung Tianshi Chen 14 7 0 25 Sep 2022
Maximum Entropy Vector Kernels for MIMO system identification G. Prando G. Pillonetto A. Chiuso 33 18 0 12 Aug 2015
Classical vs. Bayesian methods for linear system identification: point estimators and confidence sets D. Romeres G. Prando G. Pillonetto A. Chiuso 25 12 0 02 Jul 2015