Recurrent Neural Network Training with Convex Loss and Regularization Functions by Extended Kalman Filtering

4 November 2021

Papers citing "Recurrent Neural Network Training with Convex Loss and Regularization Functions by Extended Kalman Filtering"

8 / 8 papers shown

Title
IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Yifan Zhou Yibo Wang Chao Shang AI4TS 54 0 0 09 May 2025
AI-Aided Kalman Filters Nir Shlezinger Guy Revach Anubhab Ghosh S. Chatterjee Shuo Tang Tales Imbiriba J. Duník O. Straka Pau Closas Yonina C. Eldar 80 3 0 16 Oct 2024
$An L-BFGS-B approach for linear and nonlinear system identification under $\ell_1$- and group-Lasso regularization$ An L-BFGS-B approach for linear and nonlinear system identification under $\ell_1$ - and group-Lasso regularization Alberto Bemporad 55 5 0 06 Mar 2024
Self-concordant Smoothing for Large-Scale Convex Composite Optimization Adeyemi Damilare Adeoye Alberto Bemporad 13 1 0 04 Sep 2023
Data-Based Design of Multi-Model Inferential Sensors M. Mojto Karol Lubuský M. Fikar R. Paulen 14 0 0 05 Aug 2023
On the Dynamics of Learning Time-Aware Behavior with Recurrent Neural Networks Peter DelMastro Rushiv Arora E. Rietman H. Siegelmann AI4TS AI4CE 19 2 0 12 Jun 2023
An active learning method for solving competitive multi-agent decision-making and control problems F. Fabiani Alberto Bemporad 27 1 0 23 Dec 2022
Training Recurrent Neural Networks by Sequential Least Squares and the Alternating Direction Method of Multipliers Alberto Bemporad 32 11 0 31 Dec 2021