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Title
A proximal augmented Lagrangian method for nonconvex optimization with equality and inequality constraints Adeyemi Damilare Adeoye Puya Latafat Alberto Bemporad 84 0 0 02 Sep 2025
ADMM-Based Training for Spiking Neural Networks Giovanni Perin Cesare Bidini Riccardo Mazzieri M. Rossi 180 0 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

Title

A proximal augmented Lagrangian method for nonconvex optimization with equality and inequality constraints

Adeyemi Damilare Adeoye

Puya Latafat

Alberto Bemporad

02 Sep 2025

ADMM-Based Training for Spiking Neural Networks

180

08 May 2025

Efficient identification of linear, parameter-varying, and nonlinear systems with noise models

Alberto Bemporad

Roland Tóth

135

16 Apr 2025

Manifold meta-learning for reduced-complexity neural system identification

183

16 Apr 2025

Enhanced Transformer architecture for in-context learning of dynamical systemsEuropean Control Conference (ECC), 2024

102

04 Oct 2024

Regularized Gauss-Newton for Optimizing Overparameterized Neural Networks

Adeyemi Damilare Adeoye

Philipp Christian Petersen

Alberto Bemporad

213

23 Apr 2024

Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control

115

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

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

04 Nov 2021

Title
A proximal augmented Lagrangian method for nonconvex optimization with equality and inequality constraints Adeyemi Damilare Adeoye Puya Latafat Alberto Bemporad 84 0 0 02 Sep 2025
ADMM-Based Training for Spiking Neural Networks Giovanni Perin Cesare Bidini Riccardo Mazzieri M. Rossi 180 0 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

Title

A proximal augmented Lagrangian method for nonconvex optimization with equality and inequality constraints

Adeyemi Damilare Adeoye

Puya Latafat

Alberto Bemporad

02 Sep 2025

ADMM-Based Training for Spiking Neural Networks

180