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

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

31 December 2021

Alberto Bemporad

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

9 / 9 papers shown

Title
A proximal augmented Lagrangian method for nonconvex optimization with equality and inequality constraints Adeyemi Damilare Adeoye Puya Latafat Alberto Bemporad 88 0 0 02 Sep 2025
ADMM-Based Training for Spiking Neural Networks Giovanni Perin Cesare Bidini Riccardo Mazzieri M. Rossi 180 1 0 08 May 2025
Efficient identification of linear, parameter-varying, and nonlinear systems with noise models Alberto Bemporad Roland Tóth 135 0 0 16 Apr 2025
Manifold meta-learning for reduced-complexity neural system identification Marco Forgione Ankush Chakrabarty Dario Piga Matteo Rufolo Alberto Bemporad 183 1 0 16 Apr 2025
Enhanced Transformer architecture for in-context learning of dynamical systemsEuropean Control Conference (ECC), 2024 Matteo Rufolo Dario Piga Gabriele Maroni Marco Forgione 102 1 0 04 Oct 2024
Regularized Gauss-Newton for Optimizing Overparameterized Neural Networks Adeyemi Damilare Adeoye Philipp Christian Petersen Alberto Bemporad 213 2 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 115 6 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 334 18 0 06 Mar 2024
Recurrent Neural Network Training with Convex Loss and Regularization Functions by Extended Kalman FilteringIEEE Transactions on Automatic Control (IEEE TAC), 2021 Alberto Bemporad 206 30 0 04 Nov 2021