Deep networks for system identification: a Survey

Deep networks for system identification: a Survey

30 January 2023

Aleksandr Aravkin

Antônio H. Ribeiro

Thomas B. Schon

Papers citing "Deep networks for system identification: a Survey"

16 / 16 papers shown

Title
Introducing Interval Neural Networks for Uncertainty-Aware System Identification Mehmet Ali Ferah Tufan Kumbasar 19 0 0 26 Apr 2025
Nonconvex Linear System Identification with Minimal State Representation Uday Kiran Reddy Tadipatri B. Haeffele Joshua Agterberg Ingvar Ziemann René Vidal 26 0 0 26 Apr 2025
Online Control-Informed Learning Zihao Liang Tianyu Zhou Zehui Lu Shaoshuai Mou 33 1 0 04 Oct 2024
Exploiting the capacity of deep networks only at training stage for nonlinear black-box system identification V. M. Eivaghi M. A. Shoorehdeli 23 0 0 26 Dec 2023
Dealing with Collinearity in Large-Scale Linear System Identification Using Gaussian Regression Wenqi Cao G. Pillonetto 19 0 0 21 Feb 2023
Neural Ordinary Differential Equations for Nonlinear System Identification Aowabin Rahman Ján Drgoňa Aaron Tuor J. Strube 25 22 0 28 Feb 2022
Effective dimension of machine learning models Amira Abbas David Sutter Alessio Figalli Stefan Woerner 77 17 0 09 Dec 2021
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks Rahul Parhi Robert D. Nowak 48 38 0 18 Sep 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,103 0 27 Apr 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,886 0 15 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,356 0 25 Aug 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,923 0 17 Aug 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,134 0 06 Jun 2015
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 84 271 0 24 Feb 2014
Nonparametric sparsity and regularization Lorenzo Rosasco S. Villa S. Mosci M. Santoro A. Verri 85 102 0 13 Aug 2012