Dynamic modeling and control of supply chain systems: A review. - Haralambos Sarimveis; Panagiotis Patrinos; Christos D. Tarantilis; Chris T. Kiranoudis (Comput. Oper. Res., 2008)

A new algorithm for solving convex parametric quadratic programs based on graphical derivatives of solution mappings. - Panagiotis Patrinos; Haralambos Sarimveis (Autom., 2010)

Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation. - Panagiotis Patrinos; Alex Alexandridis; Konstantinos Ninos; Haralambos Sarimveis (Int. J. Neural Syst., 2010)

Stochastic MPC for real-time market-based optimal power dispatch. - Panagiotis Patrinos; Sergio Trimboli; Alberto Bemporad (CDC/ECC, 2011)

Convex parametric piecewise quadratic optimization: Theory and algorithms. - Panagiotis Patrinos; Haralambos Sarimveis (Autom., 2011)

A global piecewise smooth Newton method for fast large-scale model predictive control. - Panagiotis Patrinos; Pantelis Sopasakis; Haralambos Sarimveis (Autom., 2011)

An accelerated dual gradient-projection algorithm for linear model predictive control. - Panagiotis Patrinos; Alberto Bemporad (CDC, 2012)

Proximal Newton methods for convex composite optimization. - Panagiotis Patrinos; Alberto Bemporad (CDC, 2013)

Fixed-point dual gradient projection for embedded model predictive control. - Panagiotis Patrinos; Alberto Guiggiani; Alberto Bemporad (ECC, 2013)

Stabilizing embedded MPC with computational complexity guarantees. - Matteo Rubagotti; Panagiotis Patrinos; Alberto Bemporad (ECC, 2013)

A proximal alternating minimization method for ℓ0-regularized nonlinear optimization problems: application to state estimation. - Andrei Patrascu; Ion Necoara; Panagiotis Patrinos (CDC, 2014)

Douglas-rachford splitting: Complexity estimates and accelerated variants. - Panagiotis Patrinos; Lorenzo Stella; Alberto Bemporad (CDC, 2014)

Stochastic model predictive control for constrained discrete-time Markovian switching systems. - Panagiotis Patrinos; Pantelis Sopasakis; Haralambos Sarimveis; Alberto Bemporad (Autom., 2014)

Robust model predictive control for optimal continuous drug administration. - Pantelis Sopasakis; Panagiotis Patrinos; Haralambos Sarimveis (Comput. Methods Programs Biomed., 2014)

An Accelerated Dual Gradient-Projection Algorithm for Embedded Linear Model Predictive Control. - Panagiotis Patrinos; Alberto Bemporad (IEEE Trans. Autom. Control., 2014)

Stabilizing Linear Model Predictive Control Under Inexact Numerical Optimization. - Matteo Rubagotti; Panagiotis Patrinos; Alberto Bemporad (IEEE Trans. Autom. Control., 2014)

MPC for Sampled-Data Linear Systems: Guaranteeing Constraint Satisfaction in Continuous-Time. - Pantelis Sopasakis; Panagiotis Patrinos; Haralambos Sarimveis (IEEE Trans. Autom. Control., 2014)

Fixed-point constrained Model Predictive Control of spacecraft attitude. - Alberto Guiggiani; Ilya V. Kolmanovsky; Panagiotis Patrinos; Alberto Bemporad (ACC, 2015)

Distributed solution of stochastic optimal control problems on GPUs. - Ajay K. Sampathirao; Pantelis Sopasakis; Alberto Bemporad; Panagiotis Patrinos (CDC, 2015)

Constrained Model Predictive Control of spacecraft attitude with reaction wheels desaturation. - Alberto Guiggiani; Ilya V. Kolmanovsky; Panagiotis Patrinos; Alberto Bemporad (ECC, 2015)

A dual gradient-projection algorithm for model predictive control in fixed-point arithmetic. - Panagiotis Patrinos; Alberto Guiggiani; Alberto Bemporad (Autom., 2015)

A Convex Feasibility Approach to Anytime Model Predictive Control. - Alberto Bemporad; Daniele Bernardini 001; Panagiotis Patrinos (CoRR, 2015)

Model Predictive Control for Linear Impulsive Systems. - Pantelis Sopasakis; Panagiotis Patrinos; Haralambos Sarimveis; Alberto Bemporad (IEEE Trans. Autom. Control., 2015)

Distributed computing over encrypted data. - Nikolaos M. Freris; Panagiotis Patrinos (Allerton, 2016)

New primal-dual proximal algorithm for distributed optimization. - Puya Latafat; Lorenzo Stella; Panagiotis Patrinos (CDC, 2016)

Stochastic gradient methods for stochastic model predictive control. - Andreas Themelis; Silvia Villa; Panagiotis Patrinos; Alberto Bemporad (ECC, 2016)

Accelerated reconstruction of a compressively sampled data stream. - Pantelis Sopasakis; Nikolaos M. Freris; Panagiotis Patrinos (EUSIPCO, 2016)

A simple and efficient algorithm for nonlinear model predictive control. - Lorenzo Stella; Andreas Themelis; Pantelis Sopasakis; Panagiotis Patrinos (CDC, 2017)

A primal-dual line search method and applications in image processing. - Pantelis Sopasakis; Andreas Themelis; Johan A. K. Suykens; Panagiotis Patrinos (EUSIPCO, 2017)

Data-driven modelling, learning and stochastic predictive control for the steel industry. - Domagoj Herceg; George K. Georgoulas; Pantelis Sopasakis; Miguel Castano; Panagiotis Patrinos; Alberto Bemporad; Jan Niemi; George Nikolakopoulos (MED, 2017)

Multidisciplinary Learning through Implementation of the DVB-S2 Standard. - Yuri Murillo; Bertold Van den Bergh; Jona Beysens; Alexander Bertrand; Wim Dehaene; Panagiotis Patrinos; Tinne Tuytelaars; Ruth Vazquez Sabariego; Marian Verhelst; Patrick Wambacq; Sofie Pollin (IEEE Commun. Mag., 2017)

Asymmetric forward-backward-adjoint splitting for solving monotone inclusions involving three operators. - Puya Latafat; Panagiotis Patrinos (Comput. Optim. Appl., 2017)

Forward-backward quasi-Newton methods for nonsmooth optimization problems. - Lorenzo Stella; Andreas Themelis; Panagiotis Patrinos (Comput. Optim. Appl., 2017)

Multi-agent structured optimization over message-passing architectures with bounded communication delays. - Puya Latafat; Panagiotis Patrinos (CDC, 2018)

Plug and Play Distributed Model Predictive Control with Dynamic Coupling: A Randomized Primal-Dual Proximal Algorithm. - Puya Latafat; Alberto Bemporad; Panagiotis Patrinos (ECC, 2018)

Embedded nonlinear model predictive control for obstacle avoidance using PANOC. - Ajay Sathya; Pantelis Sopasakis; Ruben Van Parys; Andreas Themelis; Goele Pipeleers; Panagiotis Patrinos (ECC, 2018)

Uncertainty-aware demand management of water distribution networks in deregulated energy markets. - Pantelis Sopasakis; Ajay K. Sampathirao; Alberto Bemporad; Panagiotis Patrinos (Environ. Model. Softw., 2018)

Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms. - Andreas Themelis; Lorenzo Stella; Panagiotis Patrinos (SIAM J. Optim., 2018)

GPU-Accelerated Stochastic Predictive Control of Drinking Water Networks. - Ajay K. Sampathirao; Pantelis Sopasakis; Alberto Bemporad; Panagiotis Patrinos (IEEE Trans. Control. Syst. Technol., 2018)

QPALM: A Newton-type Proximal Augmented Lagrangian Method for Quadratic Programs. - Ben Hermans; Andreas Themelis; Panagiotis Patrinos (CDC, 2019)

Nonlinear Model Predictive Control for Distributed Motion Planning in Road Intersections Using PANOC. - Alexander Katriniok; Pantelis Sopasakis; Mathijs Schuurmans; Panagiotis Patrinos (CDC, 2019)

Safe Learning-Based Control of Stochastic Jump Linear Systems: a Distributionally Robust Approach. - Mathijs Schuurmans; Pantelis Sopasakis; Panagiotis Patrinos (CDC, 2019)

Aerial navigation in obstructed environments with embedded nonlinear model predictive control. - Elias Small; Pantelis Sopasakis; Emil Fresk; Panagiotis Patrinos; George Nikolakopoulos (ECC, 2019)

SuperSCS: fast and accurate large-scale conic optimization. - Pantelis Sopasakis; Krina Menounou; Panagiotis Patrinos (ECC, 2019)

Risk-averse risk-constrained optimal control. - Pantelis Sopasakis; Mathijs Schuurmans; Panagiotis Patrinos (ECC, 2019)

Optimal Dynamic Spectrum Management Algorithms for Multi-User Full-Duplex DSL. - Jeroen Verdyck; Wouter Lanneer; Paschalis Tsiaflakis; Werner Coomans; Panagiotis Patrinos; Marc Moonen (IEEE Access, 2019)

Risk-averse model predictive control. - Pantelis Sopasakis; Domagoj Herceg; Alberto Bemporad; Panagiotis Patrinos (Autom., 2019)

Multi-block Bregman proximal alternating linearized minimization and its application to sparse orthogonal nonnegative matrix factorization. - Masoud Ahookhosh; Le Thi Khanh Hien; Nicolas Gillis; Panagiotis Patrinos (CoRR, 2019)

A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization. - Puya Latafat; Nikolaos M. Freris; Panagiotis Patrinos (IEEE Trans. Autom. Control., 2019)

Newton-Type Alternating Minimization Algorithm for Convex Optimization. - Lorenzo Stella; Andreas Themelis; Panagiotis Patrinos (IEEE Trans. Autom. Control., 2019)

SuperMann: A Superlinearly Convergent Algorithm for Finding Fixed Points of Nonexpansive Operators. - Andreas Themelis; Panagiotis Patrinos (IEEE Trans. Autom. Control., 2019)

Sample Complexity of Data-Driven Stochastic LQR with Multiplicative Uncertainty. - Peter Coppens; Panagiotis Patrinos (CDC, 2020)

Learning-Based Distributionally Robust Model Predictive Control of Markovian Switching Systems with Guaranteed Stability and Recursive Feasibility. - Mathijs Schuurmans; Panagiotis Patrinos (CDC, 2020)

A new envelope function for nonsmooth DC optimization. - Andreas Themelis; Ben Hermans; Panagiotis Patrinos (CDC, 2020)

A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition. - Nico Vervliet; Andreas Themelis; Panagiotis Patrinos; Lieven De Lathauwer (EUSIPCO, 2020)

Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization. - Hien Le; Nicolas Gillis; Panagiotis Patrinos (ICML, 2020)

Data-driven distributionally robust LQR with multiplicative noise. - Peter Coppens; Mathijs Schuurmans; Panagiotis Patrinos (L4DC, 2020)

OpEn: Code Generation for Embedded Nonconvex Optimization. - Pantelis Sopasakis; Emil Fresk; Panagiotis Patrinos (CoRR, 2020)

A block inertial Bregman proximal algorithm for nonsmooth nonconvex problems. - Masoud Ahookhosh; Nicolas Gillis; Panagiotis Patrinos (CoRR, 2020)

Learning-Based Risk-Averse Model Predictive Control for Adaptive Cruise Control with Stochastic Driver Models. - Mathijs Schuurmans; Alexander Katriniok; Hongtei Eric Tseng; Panagiotis Patrinos (CoRR, 2020)

Microsecond nonlinear model predictive control for DC-DC converters. - Aleksandra Lekic; Ben Hermans; Nenad S. Jovicic; Panagiotis Patrinos (Int. J. Circuit Theory Appl., 2020)

Douglas-Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results. - Andreas Themelis; Panagiotis Patrinos (SIAM J. Optim., 2020)

On the Convexity of Bit Depth Allocation for Linear MMSE Estimation in Wireless Sensor Networks. - Fernando de la Hucha Arce; Panagiotis Patrinos; Marian Verhelst; Alexander Bertrand (IEEE Signal Process. Lett., 2020)

Risk-Averse Model Predictive Operation Control of Islanded Microgrids. - Christian A. Hans; Pantelis Sopasakis; Jörg Raisch; Carsten Reincke-Collon; Panagiotis Patrinos (IEEE Trans. Control. Syst. Technol., 2020)

Multi-Pattern Recognition Through Maximization of Signal-to-Peak-Interference Ratio With Application to Neural Spike Sorting. - Jasper Wouters; Panagiotis Patrinos; Fabian Kloosterman; Alexander Bertrand (IEEE Trans. Signal Process., 2020)

Neural Network Training as an Optimal Control Problem : - An Augmented Lagrangian Approach -. - Brecht Evens; Puya Latafat; Andreas Themelis; Johan A. K. Suykens; Panagiotis Patrinos (CDC, 2021)

Data-driven distributionally robust control of partially observable jump linear systems. - Mathijs Schuurmans; Panagiotis Patrinos (CDC, 2021)

Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. - Miguel Simões; Andreas Themelis; Panagiotis Patrinos (EUSIPCO, 2021)

Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine. - Francesco Tonin; Arun Pandey; Panagiotis Patrinos; Johan A. K. Suykens (IJCNN, 2021)

A penalty method for nonlinear programs with set exclusion constraints. - Ben Hermans; Goele Pipeleers; Panagiotis Patrinos (Autom., 2021)

Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization. - Masoud Ahookhosh; Le Thi Khanh Hien; Nicolas Gillis; Panagiotis Patrinos (Comput. Optim. Appl., 2021)

Block Alternating Bregman Majorization Minimization with Extrapolation. - Le Thi Khanh Hien; Duy Nhat Phan; Nicolas Gillis; Masoud Ahookhosh; Panagiotis Patrinos (CoRR, 2021)

A Block Inertial Bregman Proximal Algorithm for Nonsmooth Nonconvex Problems with Application to Symmetric Nonnegative Matrix Tri-Factorization. - Masoud Ahookhosh; Le Thi Khanh Hien; Nicolas Gillis; Panagiotis Patrinos (J. Optim. Theory Appl., 2021)

Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints. - Francesco Tonin; Panagiotis Patrinos; Johan A. K. Suykens (Neural Networks, 2021)

A Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local Minima. - Masoud Ahookhosh; Andreas Themelis; Panagiotis Patrinos (SIAM J. Optim., 2021)

Learning MPC for Interaction-Aware Autonomous Driving: A Game-Theoretic Approach. - Brecht Evens; Mathijs Schuurmans; Panagiotis Patrinos (ECC, 2022)

Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization. - Pieter Pas; Mathijs Schuurmans; Panagiotis Patrinos (ECC, 2022)

Federated Learning Based Resource Allocation for Wireless Communication Networks. - Pourya Behmandpoor; Panagiotis Patrinos; Marc Moonen (EUSIPCO, 2022)

Learning-Based Resource Allocation with Dynamic Data Rate Constraints. - Pourya Behmandpoor; Panagiotis Patrinos; Marc Moonen (ICASSP, 2022)

Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. - Thomas Pethick; Puya Latafat; Panos Patrinos; Olivier Fercoq; Volkan Cevher (ICLR, 2022)

Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms. - Andreas Themelis; Lorenzo Stella; Panagiotis Patrinos (Comput. Optim. Appl., 2022)

Safe learning LQR of linear dynamics with multiplicative noise. - Peter Coppens; Panagiotis Patrinos (CoRR, 2022)

Sim2real for Autonomous Vehicle Control using Executable Digital Twin. - Jean Pierre Allamaa; Panagiotis Patrinos; Herman Van der Auweraer; Tong Duy Son (CoRR, 2022)

Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control. - Pieter Pas; Andreas Themelis; Panagiotis Patrinos (CoRR, 2022)

Data-Driven Distributionally Robust MPC for Constrained Stochastic Systems. - Peter Coppens; Panagiotis Patrinos (IEEE Control. Syst. Lett., 2022)

Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems. - Puya Latafat; Andreas Themelis; Panagiotis Patrinos (Math. Program., 2022)

QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs. - Ben Hermans; Andreas Themelis; Panagiotis Patrinos (Math. Program. Comput., 2022)

Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays. - Puya Latafat; Panagiotis Patrinos (Optim. Methods Softw., 2022)

Block Bregman Majorization Minimization with Extrapolation. - Le Thi Khanh Hien; Duy Nhat Phan; Nicolas Gillis; Masoud Ahookhosh; Panagiotis Patrinos (SIAM J. Math. Data Sci., 2022)

Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity. - Puya Latafat; Andreas Themelis; Masoud Ahookhosh; Panagiotis Patrinos (SIAM J. Optim., 2022)

Linearized ADMM for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints. - Lahcen El Bourkhissi; Ion Necoara; Panagiotis Patrinos (CDC, 2023)

Ordered Risk Minimization: Learning More from Less Data. - Peter Coppens; Panagiotis Patrinos (CDC, 2023)

Safety Envelope for Orthogonal Collocation Methods in Embedded Optimal Control. - Jean Pierre Allamaa; Panagiotis Patrinos; Herman Van der Auweraer; Tong Duy Son (ECC, 2023)

Data-Driven Output Matching of Output-Generalized Bilinear and Linear Parameter-Varying systems. - Leander Hemelhof; Ivan Markovsky; Panagiotis Patrinos (ECC, 2023)

Interaction-aware Model Predictive Control for Autonomous Driving. - Renzi Wang; Mathijs Schuurmans; Panagiotis Patrinos (ECC, 2023)

Model-Free Decentralized Training for Deep Learning Based Resource Allocation in Communication Networks. - Pourya Behmandpoor; Panagiotis Patrinos; Marc Moonen (EUSIPCO, 2023)

Solving stochastic weak Minty variational inequalities without increasing batch size. - Thomas Pethick; Olivier Fercoq; Puya Latafat; Panagiotis Patrinos; Volkan Cevher (ICLR, 2023)

Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms. - Francesco Tonin; Alex Lambert; Panagiotis Patrinos; Johan A. K. Suykens (ICML, 2023)

Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers. - Francesco Tonin; Panagiotis Patrinos; Johan A. K. Suykens (PKDD/ECML Workshops (4), 2023)

Semi-Supervised Classification with Graph Convolutional Kernel Machines. - Sonny Achten; Francesco Tonin; Panagiotis Patrinos; Johan A. K. Suykens (CoRR, 2023)

Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method. - Qinghua Tao; Francesco Tonin; Panagiotis Patrinos; Johan A. K. Suykens (CoRR, 2023)

A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands. - Pourya Behmandpoor; Panagiotis Patrinos; Marc Moonen (CoRR, 2023)

Zeroth-order Asynchronous Learning with Bounded Delays with a Use-case in Resource Allocation in Communication Networks. - Pourya Behmandpoor; Marc Moonen; Panagiotis Patrinos (CoRR, 2023)

Fast data-driven iterative learning control for linear system with output disturbance. - Jia Wang; Leander Hemelhof; Ivan Markovsky; Panagiotis Patrinos (CoRR, 2023)

PANTR: A Proximal Algorithm With Trust-Region Updates for Nonconvex Constrained Optimization. - Alexander Bodard; Pieter Pas; Panagiotis Patrinos (IEEE Control. Syst. Lett., 2023)

Distributionally Robust Optimization Using Cost-Aware Ambiguity Sets. - Mathijs Schuurmans; Panagiotis Patrinos (IEEE Control. Syst. Lett., 2023)

A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems. - Mathijs Schuurmans; Panagiotis Patrinos (IEEE Trans. Autom. Control., 2023)

Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach. - Mathijs Schuurmans; Alexander Katriniok; Christopher Ryan Meissen; H. Eric Tseng; Panagiotis Patrinos (Artif. Intell., 2023)

Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy. - Emanuel Laude; Andreas Themelis; Panagiotis Patrinos (SIAM J. Optim., 2023)

Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification. - Sonny Achten; Francesco Tonin; Panagiotis Patrinos; Johan A. K. Suykens (AAAI, 2024)

Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees. - Robin Kenis; Emanuel Laude; Panagiotis Patrinos (ECCV (87), 2024)

Adaptive Proximal Gradient Methods Are Universal Without Approximation. - Konstantinos A. Oikonomidis; Emanuel Laude; Puya Latafat; Andreas Themelis; Panagiotis Patrinos (ICML, 2024)

Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method. - Qinghua Tao; Francesco Tonin; Alex Lambert; Yingyi Chen; Panagiotis Patrinos; Johan A. K. Suykens (ICML, 2024)

On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. - Puya Latafat; Andreas Themelis; Panagiotis Patrinos (L4DC, 2024)

Real-time MPC with Control Barrier Functions for Autonomous Driving using Safety Enhanced Collocation. - Jean Pierre Allamaa; Panagiotis Patrinos; Toshiyuki Ohtsuka; Tong Duy Son (CoRR, 2024)

Intraday Power Trading for Imbalance Markets: An Adaptive Risk-Averse Strategy using Mixture Models. - Robin Bruneel; Mathijs Schuurmans; Panagiotis Patrinos (CoRR, 2024)

EM++: A parameter learning framework for stochastic switching systems. - Renzi Wang; Alexander Bodard; Mathijs Schuurmans; Panagiotis Patrinos (CoRR, 2024)

Quantization-free Lossy Image Compression Using Integer Matrix Factorization. - Pooya Ashtari; Pourya Behmandpoor; Fateme Nateghi Haredasht; Jonathan H. Chen; Panagiotis Patrinos; Sabine Van Huffel (CoRR, 2024)

Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems. - Ibrahim Kurban Özaslan; Panagiotis Patrinos; Mihailo R. Jovanovic (CoRR, 2024)

The inexact power augmented Lagrangian method for constrained nonconvex optimization. - Alexander Bodard; Konstantinos A. Oikonomidis; Emanuel Laude; Panagiotis Patrinos (CoRR, 2024)

Imitation Learning from Observations: An Autoregressive Mixture of Experts Approach. - Renzi Wang; Flavia Sofia Acerbo; Tong Duy Son; Panagiotis Patrinos (CoRR, 2024)

QPALM-OCP: A Newton-Type Proximal Augmented Lagrangian Solver Tailored for Quadratic Programs Arising in Model Predictive Control. - Kristoffer Fink Løwenstein; Daniele Bernardini 001; Panagiotis Patrinos (IEEE Control. Syst. Lett., 2024)

A Trust-Region Method for Data-Driven Iterative Learning Control of Nonlinear Systems. - Jia Wang; Leander Hemelhof; Ivan Markovsky; Panagiotis Patrinos (IEEE Control. Syst. Lett., 2024)

Tensor-based multi-view spectral clustering via shared latent space. - Qinghua Tao; Francesco Tonin; Panagiotis Patrinos; Johan A. K. Suykens (Inf. Fusion, 2024)

Deep Kernel Principal Component Analysis for multi-level feature learning. - Francesco Tonin; Qinghua Tao; Panagiotis Patrinos; Johan A. K. Suykens (Neural Networks, 2024)

Asynchronous Message-Passing and Zeroth-Order Optimization Based Distributed Learning With a Use-Case in Resource Allocation in Communication Networks. - Pourya Behmandpoor; Marc Moonen; Panagiotis Patrinos (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Smoothing unadjusted Langevin algorithms for nonsmooth composite potential functions. - Susan Ghaderi; Masoud Ahookhosh; Adam Arany; Alexander Skupin; Panagiotis Patrinos; Yves Moreau (Appl. Math. Comput., 2024)

SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization. - Pourya Behmandpoor; Puya Latafat; Andreas Themelis; Marc Moonen; Panagiotis Patrinos (Comput. Optim. Appl., 2024)

Provably Stable Learning Control of Linear Dynamics With Multiplicative Noise. - Peter Coppens; Panagiotis Patrinos (IEEE Trans. Autom. Control., 2024)

Radial basis function neural network training using variable projection and fuzzy means. - Despina Karamichailidou; Georgios Gerolymatos; Panagiotis Patrinos; Haralambos Sarimveis; Alex Alexandridis (Neural Comput. Appl., 2024)

Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent. - Teodor Rotaru; Panagiotis Patrinos; François Glineur (AISTATS, 2025)

Risk-Sensitive Model Predictive Control for Interaction-Aware Planning-A Sequential Convexification Algorithm. - Renzi Wang; Mathijs Schuurmans; Panagiotis Patrinos (IEEE Control. Syst. Lett., 2025)

ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights. - Jean Pierre Allamaa; Panagiotis Patrinos; Tong Duy Son (CoRR, 2025)

Blocked Cholesky factorization updates of the Riccati recursion using hyperbolic Householder transformations. - Pieter Pas; Panagiotis Patrinos (CoRR, 2025)

On the Convergence of Proximal Gradient Methods for Convex Simple Bilevel Optimization. - Puya Latafat; Andreas Themelis; Silvia Villa; Panagiotis Patrinos (J. Optim. Theory Appl., 2025)

Spingarn's Method and Progressive Decoupling Beyond Elicitable Monotonicity. - Brecht Evens; Puya Latafat; Panagiotis Patrinos (CoRR, 2025)

A localized consensus-based sampling algorithm. - Arne Bouillon; Alexander Bodard; Panagiotis Patrinos; Dirk Nuyens; Giovanni Samaey (CoRR, 2025)

Tight Convergence Rates in Gradient Mapping for the Difference-of-Convex Algorithm. - Teodor Rotaru; Panagiotis Patrinos; François Glineur (CoRR, 2025)

Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity. - Brecht Evens; Puya Latafat; Panagiotis Patrinos (J. Optim. Theory Appl., 2025)

Learning-Based NMPC Adaptation for Autonomous Driving Using Parallelized Digital Twin. - Jean Pierre Allamaa; Panagiotis Patrinos; Herman Van der Auweraer; Tong Duy Son (IEEE Trans. Control. Syst. Technol., 2025)

Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. - Puya Latafat; Andreas Themelis; Lorenzo Stella; Panagiotis Patrinos (Math. Program., 2025)