Panagiotis Patrinos

187 papers A* 7A 2B 1C 1Misc 1Journal 127Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Deep Learning-Based Resource Allocator for Communication Networks With Dynamic User Utility Demands. IEEE Trans. Wirel. Commun. Pourya Behmandpoor, Mark Eisen, Panagiotis Patrinos, Marc Moonen
2026	J	`jnl`	Exploiting Parallelism in a QPALM-based Solver for Optimal Control. CoRR Pieter Pas, Kristoffer Fink Løwenstein, Daniele Bernardini, Panagiotis Patrinos
2026	J	`jnl`	Fast data-driven iterative learning control for linear system with output disturbance. J. Frankl. Inst. Jia Wang, Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
2026	J	`jnl`	Global convergence analysis of the power proximal point and augmented Lagrangian method. Comput. Optim. Appl. Konstantinos A. Oikonomidis, Alexander Bodard, Emanuel Laude, Panagiotis Patrinos
2026	J	`jnl`	Quantization-aware matrix factorization for low bit rate image compression. Inf. Sci. Pooya Ashtari, Pourya Behmandpoor, Fateme Nateghi Haredasht, Jonathan H. Chen, Panagiotis Patrinos, Sabine Van Huffel
2025	J	`jnl`	A localized consensus-based sampling algorithm. CoRR Arne Bouillon, Alexander Bodard, Panagiotis Patrinos, Dirk Nuyens, Giovanni Samaey
2025	J	`jnl`	Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. Math. Program. Puya Latafat, Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
2025	J	`jnl`	Anisotropic proximal gradient. Math. Program. Emanuel Laude, Panagiotis Patrinos
2025	—	`conf`	Blocked Cholesky factorization updates of the Riccati recursion using hyperbolic Householder transformations. CDC Pieter Pas, Panagiotis Patrinos
2025	J	`jnl`	Blocked Cholesky factorization updates of the Riccati recursion using hyperbolic Householder transformations. CoRR Pieter Pas, Panagiotis Patrinos
2025	J	`jnl`	Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity. J. Optim. Theory Appl. Brecht Evens, Puya Latafat, Panagiotis Patrinos
2025	J	`jnl`	Convergence of the preconditioned proximal point method and Douglas-Rachford splitting in the absence of monotonicity. Math. Program. Brecht Evens, Pieter Pas, Puya Latafat, Panagiotis Patrinos
2025	J	`jnl`	Cyqlone: A Parallel, High-Performance Linear Solver for Optimal Control. CoRR Pieter Pas, Panagiotis Patrinos
2025	A	`conf`	ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights. IROS Jean Pierre Allamaa, Panagiotis Patrinos, Tong Duy Son
2025	J	`jnl`	ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights. CoRR Jean Pierre Allamaa, Panagiotis Patrinos, Tong Duy Son
2025	—	`conf`	Imitation Learning from Observations: An Autoregressive Mixture of Experts Approach. ECC Renzi Wang, Flavia Sofia Acerbo, Tong Duy Son, Panagiotis Patrinos
2025	J	`jnl`	Learning-Based NMPC Adaptation for Autonomous Driving Using Parallelized Digital Twin. IEEE Trans. Control. Syst. Technol. Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer, Tong Duy Son
2025	A*	`conf`	Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness. ICML Konstantinos A. Oikonomidis, Jan Quan, Emanuel Laude, Panagiotis Patrinos
2025	J	`jnl`	On the Convergence of Proximal Gradient Methods for Convex Simple Bilevel Optimization. J. Optim. Theory Appl. Puya Latafat, Andreas Themelis, Silvia Villa, Panagiotis Patrinos
2025	J	`jnl`	Probabilistic Safety under Arbitrary Disturbance Distributions using Piecewise-Affine Control Barrier Functions. CoRR Matisse Teuwen, Mathijs Schuurmans, Panagiotis Patrinos
2025	J	`jnl`	Rethinking PCA Through Duality. CoRR Jan Quan, Johan A. K. Suykens, Panagiotis Patrinos
2025	J	`jnl`	Risk-Sensitive Model Predictive Control for Interaction-Aware Planning - A Sequential Convexification Algorithm. CoRR Renzi Wang, Mathijs Schuurmans, Panagiotis Patrinos
2025	J	`jnl`	Risk-Sensitive Model Predictive Control for Interaction-Aware Planning-A Sequential Convexification Algorithm. IEEE Control. Syst. Lett. Renzi Wang, Mathijs Schuurmans, Panagiotis Patrinos
2025	J	`jnl`	Scaled relative graphs for nonmonotone operators with applications in circuit theory. Eur. J. Control Jan Quan, Brecht Evens, Rodolphe Sepulchre, Panagiotis Patrinos
2025	J	`jnl`	Spingarn's Method and Progressive Decoupling Beyond Elicitable Monotonicity. CoRR Brecht Evens, Puya Latafat, Panagiotis Patrinos
2025	J	`jnl`	The inexact power augmented Lagrangian method for constrained nonconvex optimization. Trans. Mach. Learn. Res. Alexander Bodard, Konstantinos A. Oikonomidis, Emanuel Laude, Panagiotis Patrinos
2025	A	`conf`	Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent. AISTATS Teodor Rotaru, Panagiotis Patrinos, François Glineur
2025	J	`jnl`	Tight Convergence Rates in Gradient Mapping for the Difference-of-Convex Algorithm. CoRR Teodor Rotaru, Panagiotis Patrinos, François Glineur
2024	J	`jnl`	A Trust-Region Method for Data-Driven Iterative Learning Control of Nonlinear Systems. IEEE Control. Syst. Lett. Jia Wang, Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
2024	A*	`conf`	Adaptive Proximal Gradient Methods Are Universal Without Approximation. ICML Konstantinos A. Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos
2024	J	`jnl`	Adaptive proximal gradient methods are universal without approximation. CoRR Konstantinos A. Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos
2024	J	`jnl`	Asynchronous Message-Passing and Zeroth-Order Optimization Based Distributed Learning With a Use-Case in Resource Allocation in Communication Networks. IEEE Trans. Signal Inf. Process. over Networks Pourya Behmandpoor, Marc Moonen, Panagiotis Patrinos
2024	—	`conf`	Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees. ECCV (87) Robin Kenis, Emanuel Laude, Panagiotis Patrinos
2024	J	`jnl`	Deep Kernel Principal Component Analysis for multi-level feature learning. Neural Networks Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A. K. Suykens
2024	J	`jnl`	EM++: A parameter learning framework for stochastic switching systems. CoRR Renzi Wang, Alexander Bodard, Mathijs Schuurmans, Panagiotis Patrinos
2024	J	`jnl`	Imitation Learning from Observations: An Autoregressive Mixture of Experts Approach. CoRR Renzi Wang, Flavia Sofia Acerbo, Tong Duy Son, Panagiotis Patrinos
2024	J	`jnl`	Intraday Power Trading for Imbalance Markets: An Adaptive Risk-Averse Strategy using Mixture Models. CoRR Robin Bruneel, Mathijs Schuurmans, Panagiotis Patrinos
2024	J	`jnl`	Learning Based NMPC Adaptation for Autonomous Driving using Parallelized Digital Twin. CoRR Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer, Tong Duy Son
2024	A*	`conf`	Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method. ICML Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan A. K. Suykens
2024	J	`jnl`	Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method. CoRR Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan A. K. Suykens
2024	—	`conf`	On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. L4DC Puya Latafat, Andreas Themelis, Panagiotis Patrinos
2024	J	`jnl`	Provably Stable Learning Control of Linear Dynamics With Multiplicative Noise. IEEE Trans. Autom. Control. Peter Coppens, Panagiotis Patrinos
2024	J	`jnl`	QPALM-OCP: A Newton-Type Proximal Augmented Lagrangian Solver Tailored for Quadratic Programs Arising in Model Predictive Control. IEEE Control. Syst. Lett. Kristoffer Fink Løwenstein, Daniele Bernardini, Panagiotis Patrinos
2024	J	`jnl`	Quantization-free Lossy Image Compression Using Integer Matrix Factorization. CoRR Pooya Ashtari, Pourya Behmandpoor, Fateme Nateghi Haredasht, Jonathan H. Chen, Panagiotis Patrinos, Sabine Van Huffel
2024	J	`jnl`	Radial basis function neural network training using variable projection and fuzzy means. Neural Comput. Appl. Despina Karamichailidou, Georgios Gerolymatos, Panagiotis Patrinos, Haralambos Sarimveis, Alex Alexandridis
2024	J	`jnl`	Real-time MPC with Control Barrier Functions for Autonomous Driving using Safety Enhanced Collocation. CoRR Jean Pierre Allamaa, Panagiotis Patrinos, Toshiyuki Ohtsuka, Tong Duy Son
2024	J	`jnl`	SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization. Comput. Optim. Appl. Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos
2024	J	`jnl`	Smoothing unadjusted Langevin algorithms for nonsmooth composite potential functions. Appl. Math. Comput. Susan Ghaderi, Masoud Ahookhosh, Adam Arany, Alexander Skupin, Panagiotis Patrinos, Yves Moreau
2024	J	`jnl`	Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems. CoRR Ibrahim Kurban Özaslan, Panagiotis Patrinos, Mihailo R. Jovanovic
2024	J	`jnl`	Tensor-based multi-view spectral clustering via shared latent space. Inf. Fusion Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2024	J	`jnl`	The inexact power augmented Lagrangian method for constrained nonconvex optimization. CoRR Alexander Bodard, Konstantinos A. Oikonomidis, Emanuel Laude, Panagiotis Patrinos
2024	A*	`conf`	Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification. AAAI Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2023	J	`jnl`	A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands. CoRR Pourya Behmandpoor, Panagiotis Patrinos, Marc Moonen
2023	J	`jnl`	A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems. IEEE Trans. Autom. Control. Mathijs Schuurmans, Panagiotis Patrinos
2023	J	`jnl`	Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. CoRR Puya Latafat, Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
2023	—	`conf`	Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers. PKDD/ECML Workshops (4) Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2023	J	`jnl`	Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers. CoRR Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2023	J	`jnl`	Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity. CoRR Brecht Evens, Puya Latafat, Panagiotis Patrinos
2023	—	`conf`	Data-Driven Output Matching of Output-Generalized Bilinear and Linear Parameter-Varying systems. ECC Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
2023	J	`jnl`	Data-Driven Output Matching of Output-Generalized Bilinear and Linear Parameter-Varying systems. CoRR Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
2023	J	`jnl`	Deep Kernel Principal Component Analysis for Multi-level Feature Learning. CoRR Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A. K. Suykens
2023	J	`jnl`	Distributionally Robust Optimization Using Cost-Aware Ambiguity Sets. IEEE Control. Syst. Lett. Mathijs Schuurmans, Panagiotis Patrinos
2023	J	`jnl`	Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy. SIAM J. Optim. Emanuel Laude, Andreas Themelis, Panagiotis Patrinos
2023	J	`jnl`	Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. CoRR Thomas Pethick, Puya Latafat, Panagiotis Patrinos, Olivier Fercoq, Volkan Cevher
2023	A*	`conf`	Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms. ICML Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens
2023	J	`jnl`	Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms. CoRR Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens
2023	J	`jnl`	Fast data-driven iterative learning control for linear system with output disturbance. CoRR Jia Wang, Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
2023	—	`conf`	Interaction-aware Model Predictive Control for Autonomous Driving. ECC Renzi Wang, Mathijs Schuurmans, Panagiotis Patrinos
2023	—	`conf`	Linearized ADMM for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints. CDC Lahcen El Bourkhissi, Ion Necoara, Panagiotis Patrinos
2023	—	`conf`	Model-Free Decentralized Training for Deep Learning Based Resource Allocation in Communication Networks. EUSIPCO Pourya Behmandpoor, Panagiotis Patrinos, Marc Moonen
2023	J	`jnl`	Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method. CoRR Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2023	J	`jnl`	On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. CoRR Puya Latafat, Andreas Themelis, Panagiotis Patrinos
2023	—	`conf`	Ordered Risk Minimization: Learning More from Less Data. CDC Peter Coppens, Panagiotis Patrinos
2023	J	`jnl`	PANTR: A Proximal Algorithm With Trust-Region Updates for Nonconvex Constrained Optimization. IEEE Control. Syst. Lett. Alexander Bodard, Pieter Pas, Panagiotis Patrinos
2023	J	`jnl`	Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach. Artif. Intell. Mathijs Schuurmans, Alexander Katriniok, Christopher Ryan Meissen, H. Eric Tseng, Panagiotis Patrinos
2023	—	`conf`	Safety Envelope for Orthogonal Collocation Methods in Embedded Optimal Control. ECC Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer, Tong Duy Son
2023	J	`jnl`	Semi-Supervised Classification with Graph Convolutional Kernel Machines. CoRR Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2023	A*	`conf`	Solving stochastic weak Minty variational inequalities without increasing batch size. ICLR Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
2023	J	`jnl`	Solving stochastic weak Minty variational inequalities without increasing batch size. CoRR Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
2023	J	`jnl`	Zeroth-order Asynchronous Learning with Bounded Delays with a Use-case in Resource Allocation in Communication Networks. CoRR Pourya Behmandpoor, Marc Moonen, Panagiotis Patrinos
2022	—	`conf`	Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization. ECC Pieter Pas, Mathijs Schuurmans, Panagiotis Patrinos
2022	J	`jnl`	Block Bregman Majorization Minimization with Extrapolation. SIAM J. Math. Data Sci. Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos
2022	J	`jnl`	Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems. Math. Program. Puya Latafat, Andreas Themelis, Panagiotis Patrinos
2022	J	`jnl`	Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity. SIAM J. Optim. Puya Latafat, Andreas Themelis, Masoud Ahookhosh, Panagiotis Patrinos
2022	J	`jnl`	Data-Driven Distributionally Robust MPC for Constrained Stochastic Systems. IEEE Control. Syst. Lett. Peter Coppens, Panagiotis Patrinos
2022	J	`jnl`	Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms. Comput. Optim. Appl. Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
2022	—	`conf`	Federated Learning Based Resource Allocation for Wireless Communication Networks. EUSIPCO Pourya Behmandpoor, Panagiotis Patrinos, Marc Moonen
2022	J	`jnl`	Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control. CoRR Pieter Pas, Andreas Themelis, Panagiotis Patrinos
2022	J	`jnl`	Interaction-aware Model Predictive Control for Autonomous Driving. CoRR Renzi Wang, Mathijs Schuurmans, Panagiotis Patrinos
2022	—	`conf`	Learning MPC for Interaction-Aware Autonomous Driving: A Game-Theoretic Approach. ECC Brecht Evens, Mathijs Schuurmans, Panagiotis Patrinos
2022	Misc	`conf`	Learning-Based Resource Allocation with Dynamic Data Rate Constraints. ICASSP Pourya Behmandpoor, Panagiotis Patrinos, Marc Moonen
2022	J	`jnl`	Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays. Optim. Methods Softw. Puya Latafat, Panagiotis Patrinos
2022	J	`jnl`	QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs. Math. Program. Comput. Ben Hermans, Andreas Themelis, Panagiotis Patrinos
2022	J	`jnl`	SPIRAL: A Superlinearly Convergent Incremental Proximal Algorithm for Nonconvex Finite Sum Minimization. CoRR Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos
2022	J	`jnl`	Safe learning LQR of linear dynamics with multiplicative noise. CoRR Peter Coppens, Panagiotis Patrinos
2022	J	`jnl`	Safe, Learning-Based MPC for Highway Driving under Lane-Change Uncertainty: A Distributionally Robust Approach. CoRR Mathijs Schuurmans, Alexander Katriniok, Christopher Ryan Meissen, H. Eric Tseng, Panagiotis Patrinos
2022	J	`jnl`	Safety Envelope for Orthogonal Collocation Methods in Embedded Optimal Control. CoRR Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer, Tong Duy Son
2022	J	`jnl`	Sim2real for Autonomous Vehicle Control using Executable Digital Twin. CoRR Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer, Tong Duy Son
2022	J	`jnl`	Tensor-based Multi-view Spectral Clustering via Shared Latent Space. CoRR Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2021	J	`jnl`	A Block Inertial Bregman Proximal Algorithm for Nonsmooth Nonconvex Problems with Application to Symmetric Nonnegative Matrix Tri-Factorization. J. Optim. Theory Appl. Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos
2021	J	`jnl`	A Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local Minima. SIAM J. Optim. Masoud Ahookhosh, Andreas Themelis, Panagiotis Patrinos
2021	J	`jnl`	A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems. CoRR Mathijs Schuurmans, Panagiotis Patrinos
2021	J	`jnl`	A penalty method for nonlinear programs with set exclusion constraints. Autom. Ben Hermans, Goele Pipeleers, Panagiotis Patrinos
2021	J	`jnl`	Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization. CoRR Pieter Pas, Mathijs Schuurmans, Panagiotis Patrinos
2021	J	`jnl`	Block Alternating Bregman Majorization Minimization with Extrapolation. CoRR Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos
2021	J	`jnl`	Data-driven distributionally robust MPC for constrained stochastic systems. CoRR Peter Coppens, Panagiotis Patrinos
2021	—	`conf`	Data-driven distributionally robust control of partially observable jump linear systems. CDC Mathijs Schuurmans, Panagiotis Patrinos
2021	J	`jnl`	Data-driven distributionally robust control of partially observable jump linear systems. CoRR Mathijs Schuurmans, Panagiotis Patrinos
2021	—	`conf`	Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. EUSIPCO Miguel Simões, Andreas Themelis, Panagiotis Patrinos
2021	J	`jnl`	Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. CoRR Miguel Simões, Andreas Themelis, Panagiotis Patrinos
2021	J	`jnl`	Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization. Comput. Optim. Appl. Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos
2021	—	`conf`	Neural Network Training as an Optimal Control Problem : - An Augmented Lagrangian Approach -. CDC Brecht Evens, Puya Latafat, Andreas Themelis, Johan A. K. Suykens, Panagiotis Patrinos
2021	B	`conf`	Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine. IJCNN Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens
2021	J	`jnl`	Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine. CoRR Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens
2021	J	`jnl`	Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints. Neural Networks Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2020	—	`conf`	A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition. EUSIPCO Nico Vervliet, Andreas Themelis, Panagiotis Patrinos, Lieven De Lathauwer
2020	J	`jnl`	A block inertial Bregman proximal algorithm for nonsmooth nonconvex problems. CoRR Masoud Ahookhosh, Nicolas Gillis, Panagiotis Patrinos
2020	—	`conf`	A new envelope function for nonsmooth DC optimization. CDC Andreas Themelis, Ben Hermans, Panagiotis Patrinos
2020	—	`conf`	Data-driven distributionally robust LQR with multiplicative noise. L4DC Peter Coppens, Mathijs Schuurmans, Panagiotis Patrinos
2020	J	`jnl`	Douglas-Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results. SIAM J. Optim. Andreas Themelis, Panagiotis Patrinos
2020	A*	`conf`	Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization. ICML Hien Le, Nicolas Gillis, Panagiotis Patrinos
2020	—	`conf`	Learning-Based Distributionally Robust Model Predictive Control of Markovian Switching Systems with Guaranteed Stability and Recursive Feasibility. CDC Mathijs Schuurmans, Panagiotis Patrinos
2020	J	`jnl`	Learning-Based Distributionally Robust Model Predictive Control of Markovian Switching Systems with Guaranteed Stability and Recursive Feasibility. CoRR Mathijs Schuurmans, Panagiotis Patrinos
2020	J	`jnl`	Learning-Based Risk-Averse Model Predictive Control for Adaptive Cruise Control with Stochastic Driver Models. CoRR Mathijs Schuurmans, Alexander Katriniok, Hongtei Eric Tseng, Panagiotis Patrinos
2020	J	`jnl`	Microsecond nonlinear model predictive control for DC-DC converters. Int. J. Circuit Theory Appl. Aleksandra Lekic, Ben Hermans, Nenad S. Jovicic, Panagiotis Patrinos
2020	J	`jnl`	Multi-Pattern Recognition Through Maximization of Signal-to-Peak-Interference Ratio With Application to Neural Spike Sorting. IEEE Trans. Signal Process. Jasper Wouters, Panagiotis Patrinos, Fabian Kloosterman, Alexander Bertrand
2020	J	`jnl`	On the Convexity of Bit Depth Allocation for Linear MMSE Estimation in Wireless Sensor Networks. IEEE Signal Process. Lett. Fernando de la Hucha Arce, Panagiotis Patrinos, Marian Verhelst, Alexander Bertrand
2020	J	`jnl`	OpEn: Code Generation for Embedded Nonconvex Optimization. CoRR Pantelis Sopasakis, Emil Fresk, Panagiotis Patrinos
2020	J	`jnl`	Risk-Averse Model Predictive Operation Control of Islanded Microgrids. IEEE Trans. Control. Syst. Technol. Christian A. Hans, Pantelis Sopasakis, Jörg Raisch, Carsten Reincke-Collon, Panagiotis Patrinos
2020	—	`conf`	Sample Complexity of Data-Driven Stochastic LQR with Multiplicative Uncertainty. CDC Peter Coppens, Panagiotis Patrinos
2020	J	`jnl`	Sample Complexity of Data-Driven Stochastic LQR with Multiplicative Uncertainty. CoRR Peter Coppens, Panagiotis Patrinos
2020	J	`jnl`	Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints. CoRR Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2019	J	`jnl`	A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization. IEEE Trans. Autom. Control. Puya Latafat, Nikolaos M. Freris, Panagiotis Patrinos
2019	—	`conf`	Aerial navigation in obstructed environments with embedded nonlinear model predictive control. ECC Elias Small, Pantelis Sopasakis, Emil Fresk, Panagiotis Patrinos, George Nikolakopoulos
2019	J	`jnl`	Data-driven distributionally robust LQR with multiplicative noise. CoRR Peter Coppens, Mathijs Schuurmans, Panagiotis Patrinos
2019	J	`jnl`	Multi-block Bregman proximal alternating linearized minimization and its application to sparse orthogonal nonnegative matrix factorization. CoRR Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos
2019	J	`jnl`	Newton-Type Alternating Minimization Algorithm for Convex Optimization. IEEE Trans. Autom. Control. Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos
2019	—	`conf`	Nonlinear Model Predictive Control for Distributed Motion Planning in Road Intersections Using PANOC. CDC Alexander Katriniok, Pantelis Sopasakis, Mathijs Schuurmans, Panagiotis Patrinos
2019	J	`jnl`	Nonlinear Model Predictive Control for Distributed Motion Planning in Road Intersections Using PANOC. CoRR Alexander Katriniok, Pantelis Sopasakis, Mathijs Schuurmans, Panagiotis Patrinos
2019	J	`jnl`	Optimal Dynamic Spectrum Management Algorithms for Multi-User Full-Duplex DSL. IEEE Access Jeroen Verdyck, Wouter Lanneer, Paschalis Tsiaflakis, Werner Coomans, Panagiotis Patrinos, Marc Moonen
2019	—	`conf`	QPALM: A Newton-type Proximal Augmented Lagrangian Method for Quadratic Programs. CDC Ben Hermans, Andreas Themelis, Panagiotis Patrinos
2019	J	`jnl`	Risk-averse model predictive control. Autom. Pantelis Sopasakis, Domagoj Herceg, Alberto Bemporad, Panagiotis Patrinos
2019	—	`conf`	Risk-averse risk-constrained optimal control. ECC Pantelis Sopasakis, Mathijs Schuurmans, Panagiotis Patrinos
2019	—	`conf`	Safe Learning-Based Control of Stochastic Jump Linear Systems: a Distributionally Robust Approach. CDC Mathijs Schuurmans, Pantelis Sopasakis, Panagiotis Patrinos
2019	J	`jnl`	Safe Learning-Based Control of Stochastic Jump Linear Systems: a Distributionally Robust Approach. CoRR Mathijs Schuurmans, Pantelis Sopasakis, Panagiotis Patrinos
2019	J	`jnl`	SuperMann: A Superlinearly Convergent Algorithm for Finding Fixed Points of Nonexpansive Operators. IEEE Trans. Autom. Control. Andreas Themelis, Panagiotis Patrinos
2019	—	`conf`	SuperSCS: fast and accurate large-scale conic optimization. ECC Pantelis Sopasakis, Krina Menounou, Panagiotis Patrinos
2018	—	`conf`	Embedded nonlinear model predictive control for obstacle avoidance using PANOC. ECC Ajay Sathya, Pantelis Sopasakis, Ruben Van Parys, Andreas Themelis, Goele Pipeleers, Panagiotis Patrinos
2018	J	`jnl`	Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms. SIAM J. Optim. Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
2018	J	`jnl`	GPU-Accelerated Stochastic Predictive Control of Drinking Water Networks. IEEE Trans. Control. Syst. Technol. Ajay K. Sampathirao, Pantelis Sopasakis, Alberto Bemporad, Panagiotis Patrinos
2018	—	`conf`	Multi-agent structured optimization over message-passing architectures with bounded communication delays. CDC Puya Latafat, Panagiotis Patrinos
2018	—	`conf`	Plug and Play Distributed Model Predictive Control with Dynamic Coupling: A Randomized Primal-Dual Proximal Algorithm. ECC Puya Latafat, Alberto Bemporad, Panagiotis Patrinos
2018	J	`jnl`	Uncertainty-aware demand management of water distribution networks in deregulated energy markets. Environ. Model. Softw. Pantelis Sopasakis, Ajay K. Sampathirao, Alberto Bemporad, Panagiotis Patrinos
2017	—	`conf`	A primal-dual line search method and applications in image processing. EUSIPCO Pantelis Sopasakis, Andreas Themelis, Johan A. K. Suykens, Panagiotis Patrinos
2017	—	`conf`	A simple and efficient algorithm for nonlinear model predictive control. CDC Lorenzo Stella, Andreas Themelis, Pantelis Sopasakis, Panagiotis Patrinos
2017	J	`jnl`	Asymmetric forward-backward-adjoint splitting for solving monotone inclusions involving three operators. Comput. Optim. Appl. Puya Latafat, Panagiotis Patrinos
2017	—	`conf`	Data-driven modelling, learning and stochastic predictive control for the steel industry. MED Domagoj Herceg, George K. Georgoulas, Pantelis Sopasakis, Miguel Castano, Panagiotis Patrinos, Alberto Bemporad, Jan Niemi, George Nikolakopoulos
2017	J	`jnl`	Forward-backward quasi-Newton methods for nonsmooth optimization problems. Comput. Optim. Appl. Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos
2017	J	`jnl`	Multidisciplinary Learning through Implementation of the DVB-S2 Standard. IEEE Commun. Mag. 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
2016	—	`conf`	Accelerated reconstruction of a compressively sampled data stream. EUSIPCO Pantelis Sopasakis, Nikolaos M. Freris, Panagiotis Patrinos
2016	—	`conf`	Distributed computing over encrypted data. Allerton Nikolaos M. Freris, Panagiotis Patrinos
2016	—	`conf`	New primal-dual proximal algorithm for distributed optimization. CDC Puya Latafat, Lorenzo Stella, Panagiotis Patrinos
2016	—	`conf`	Stochastic gradient methods for stochastic model predictive control. ECC Andreas Themelis, Silvia Villa, Panagiotis Patrinos, Alberto Bemporad
2015	J	`jnl`	A Convex Feasibility Approach to Anytime Model Predictive Control. CoRR Alberto Bemporad, Daniele Bernardini, Panagiotis Patrinos
2015	J	`jnl`	A dual gradient-projection algorithm for model predictive control in fixed-point arithmetic. Autom. Panagiotis Patrinos, Alberto Guiggiani, Alberto Bemporad
2015	—	`conf`	Constrained Model Predictive Control of spacecraft attitude with reaction wheels desaturation. ECC Alberto Guiggiani, Ilya V. Kolmanovsky, Panagiotis Patrinos, Alberto Bemporad
2015	—	`conf`	Distributed solution of stochastic optimal control problems on GPUs. CDC Ajay K. Sampathirao, Pantelis Sopasakis, Alberto Bemporad, Panagiotis Patrinos
2015	C	`conf`	Fixed-point constrained Model Predictive Control of spacecraft attitude. ACC Alberto Guiggiani, Ilya V. Kolmanovsky, Panagiotis Patrinos, Alberto Bemporad
2015	J	`jnl`	Model Predictive Control for Linear Impulsive Systems. IEEE Trans. Autom. Control. Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, Alberto Bemporad
2014	—	`conf`	A proximal alternating minimization method for ℓ0-regularized nonlinear optimization problems: application to state estimation. CDC Andrei Patrascu, Ion Necoara, Panagiotis Patrinos
2014	J	`jnl`	An Accelerated Dual Gradient-Projection Algorithm for Embedded Linear Model Predictive Control. IEEE Trans. Autom. Control. Panagiotis Patrinos, Alberto Bemporad
2014	—	`conf`	Douglas-rachford splitting: Complexity estimates and accelerated variants. CDC Panagiotis Patrinos, Lorenzo Stella, Alberto Bemporad
2014	J	`jnl`	MPC for Sampled-Data Linear Systems: Guaranteeing Constraint Satisfaction in Continuous-Time. IEEE Trans. Autom. Control. Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis
2014	J	`jnl`	Robust model predictive control for optimal continuous drug administration. Comput. Methods Programs Biomed. Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis
2014	J	`jnl`	Stabilizing Linear Model Predictive Control Under Inexact Numerical Optimization. IEEE Trans. Autom. Control. Matteo Rubagotti, Panagiotis Patrinos, Alberto Bemporad
2014	J	`jnl`	Stochastic model predictive control for constrained discrete-time Markovian switching systems. Autom. Panagiotis Patrinos, Pantelis Sopasakis, Haralambos Sarimveis, Alberto Bemporad
2013	—	`conf`	Fixed-point dual gradient projection for embedded model predictive control. ECC Panagiotis Patrinos, Alberto Guiggiani, Alberto Bemporad
2013	—	`conf`	Proximal Newton methods for convex composite optimization. CDC Panagiotis Patrinos, Alberto Bemporad
2013	—	`conf`	Stabilizing embedded MPC with computational complexity guarantees. ECC Matteo Rubagotti, Panagiotis Patrinos, Alberto Bemporad
2012	—	`conf`	An accelerated dual gradient-projection algorithm for linear model predictive control. CDC Panagiotis Patrinos, Alberto Bemporad
2012	—	`conf`	Model Predictive Control for Linear Impulsive Systems. CDC Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, Alberto Bemporad
2011	J	`jnl`	A global piecewise smooth Newton method for fast large-scale model predictive control. Autom. Panagiotis Patrinos, Pantelis Sopasakis, Haralambos Sarimveis
2011	J	`jnl`	Convex parametric piecewise quadratic optimization: Theory and algorithms. Autom. Panagiotis Patrinos, Haralambos Sarimveis
2011	—	`conf`	Stochastic MPC for real-time market-based optimal power dispatch. CDC/ECC Panagiotis Patrinos, Sergio Trimboli, Alberto Bemporad
2010	J	`jnl`	A new algorithm for solving convex parametric quadratic programs based on graphical derivatives of solution mappings. Autom. Panagiotis Patrinos, Haralambos Sarimveis
2010	J	`jnl`	Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation. Int. J. Neural Syst. Panagiotis Patrinos, Alex Alexandridis, Konstantinos Ninos, Haralambos Sarimveis
2008	J	`jnl`	Dynamic modeling and control of supply chain systems: A review. Comput. Oper. Res. Haralambos Sarimveis, Panagiotis Patrinos, Christos D. Tarantilis, Chris T. Kiranoudis