Training Recurrent Neural Networks by Sequential Least Squares and the Alternating Direction Method of Multipliers

31 December 2021

Papers citing "Training Recurrent Neural Networks by Sequential Least Squares and the Alternating Direction Method of Multipliers"

9 / 9 papers shown

Title
ADMM-Based Training for Spiking Neural Networks Giovanni Perin Cesare Bidini Riccardo Mazzieri M. Rossi 24 0 0 08 May 2025
Efficient identification of linear, parameter-varying, and nonlinear systems with noise models Alberto Bemporad Roland Tóth 17 0 0 16 Apr 2025
Manifold meta-learning for reduced-complexity neural system identification Marco Forgione Ankush Chakrabarty Dario Piga Matteo Rufolo Alberto Bemporad 36 0 0 16 Apr 2025
Enhanced Transformer architecture for in-context learning of dynamical systems Matteo Rufolo Dario Piga Gabriele Maroni Marco Forgione 31 0 0 04 Oct 2024
Regularized Gauss-Newton for Optimizing Overparameterized Neural Networks Adeyemi Damilare Adeoye Philipp Christian Petersen Alberto Bemporad 28 1 0 23 Apr 2024
Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control Qi Zhang Lei Wang Wei Xu Hongye Su Lei Xie 16 2 0 15 Apr 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 43 5 0 06 Mar 2024
Recurrent Neural Network Training with Convex Loss and Regularization Functions by Extended Kalman Filtering Alberto Bemporad 11 24 0 04 Nov 2021
diffGrad: An Optimization Method for Convolutional Neural Networks S. Dubey Soumendu Chakraborty S. K. Roy Snehasis Mukherjee S. Singh B. B. Chaudhuri ODL 97 184 0 12 Sep 2019