default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPanagiotis Patrinos
Panos Patrinos
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j53]Susan Ghaderi
, Masoud Ahookhosh, Adam Arany, Alexander Skupin, Panagiotis Patrinos, Yves Moreau:
Smoothing unadjusted Langevin algorithms for nonsmooth composite potential functions. Appl. Math. Comput. 464: 128377 (2024)- [j52]Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos:
SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization. Comput. Optim. Appl. 88(1): 71-106 (2024) - [j51]Kristoffer Fink Løwenstein, Daniele Bernardini, Panagiotis Patrinos:
QPALM-OCP: A Newton-Type Proximal Augmented Lagrangian Solver Tailored for Quadratic Programs Arising in Model Predictive Control. IEEE Control. Syst. Lett. 8: 1349-1354 (2024) - [j50]Jia Wang, Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos:
A Trust-Region Method for Data-Driven Iterative Learning Control of Nonlinear Systems. IEEE Control. Syst. Lett. 8: 1847-1852 (2024) - [j49]Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
Tensor-based multi-view spectral clustering via shared latent space. Inf. Fusion 108: 102405 (2024) - [j48]Despina Karamichailidou, Georgios Gerolymatos, Panagiotis Patrinos, Haralambos Sarimveis, Alex Alexandridis:
Radial basis function neural network training using variable projection and fuzzy means. Neural Comput. Appl. 36(33): 21137-21151 (2024) - [j47]Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A. K. Suykens:
Deep Kernel Principal Component Analysis for multi-level feature learning. Neural Networks 170: 578-595 (2024) - [j46]Peter Coppens, Panagiotis Patrinos:
Provably Stable Learning Control of Linear Dynamics With Multiplicative Noise. IEEE Trans. Autom. Control. 69(8): 5049-5064 (2024) - [c55]Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification. AAAI 2024: 10766-10774 - [c54]Robin Kenis, Emanuel Laude, Panagiotis Patrinos:
Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees. ECCV (87) 2024: 160-176 - [c53]Konstantinos A. Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos:
Adaptive Proximal Gradient Methods Are Universal Without Approximation. ICML 2024 - [c52]Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan A. K. Suykens:
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method. ICML 2024 - [c51]Puya Latafat, Andreas Themelis, Panagiotis Patrinos:
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. L4DC 2024: 197-208 - [i49]Jean Pierre Allamaa, Panagiotis Patrinos, Toshiyuki Ohtsuka, Tong Duy Son:
Real-time MPC with Control Barrier Functions for Autonomous Driving using Safety Enhanced Collocation. CoRR abs/2401.06648 (2024) - [i48]Robin Bruneel, Mathijs Schuurmans, Panagiotis Patrinos:
Intraday Power Trading for Imbalance Markets: An Adaptive Risk-Averse Strategy using Mixture Models. CoRR abs/2402.01215 (2024) - [i47]Konstantinos A. Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos:
Adaptive proximal gradient methods are universal without approximation. CoRR abs/2402.06271 (2024) - [i46]Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer, Tong Duy Son:
Learning Based NMPC Adaptation for Autonomous Driving using Parallelized Digital Twin. CoRR abs/2402.16645 (2024) - [i45]Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan A. K. Suykens:
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method. CoRR abs/2406.08748 (2024) - [i44]Renzi Wang, Alexander Bodard, Mathijs Schuurmans, Panagiotis Patrinos:
EM++: A parameter learning framework for stochastic switching systems. CoRR abs/2407.16359 (2024) - [i43]Pooya Ashtari, Pourya Behmandpoor, Fateme Nateghi Haredasht, Jonathan H. Chen, Panagiotis Patrinos, Sabine Van Huffel:
Quantization-free Lossy Image Compression Using Integer Matrix Factorization. CoRR abs/2408.12691 (2024) - [i42]Ibrahim Kurban Özaslan, Panagiotis Patrinos, Mihailo R. Jovanovic:
Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems. CoRR abs/2408.15969 (2024) - [i41]Alexander Bodard, Konstantinos A. Oikonomidis, Emanuel Laude, Panagiotis Patrinos:
The inexact power augmented Lagrangian method for constrained nonconvex optimization. CoRR abs/2410.20153 (2024) - 2023
- [j45]Mathijs Schuurmans, Alexander Katriniok, Christopher Ryan Meissen, H. Eric Tseng, Panagiotis Patrinos:
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach. Artif. Intell. 320: 103920 (2023) - [j44]Mathijs Schuurmans, Panagiotis Patrinos:
Distributionally Robust Optimization Using Cost-Aware Ambiguity Sets. IEEE Control. Syst. Lett. 7: 1855-1860 (2023) - [j43]Alexander Bodard, Pieter Pas, Panagiotis Patrinos:
PANTR: A Proximal Algorithm With Trust-Region Updates for Nonconvex Constrained Optimization. IEEE Control. Syst. Lett. 7: 2389-2394 (2023) - [j42]Emanuel Laude, Andreas Themelis, Panagiotis Patrinos:
Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy. SIAM J. Optim. 33(4): 2721-2749 (2023) - [j41]Mathijs Schuurmans, Panagiotis Patrinos:
A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems. IEEE Trans. Autom. Control. 68(5): 2950-2965 (2023) - [c50]Peter Coppens, Panagiotis Patrinos:
Ordered Risk Minimization: Learning More from Less Data. CDC 2023: 2003-2009 - [c49]Lahcen El Bourkhissi, Ion Necoara, Panagiotis Patrinos:
Linearized ADMM for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints. CDC 2023: 7312-7317 - [c48]Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer, Tong Duy Son:
Safety Envelope for Orthogonal Collocation Methods in Embedded Optimal Control. ECC 2023: 1-7 - [c47]Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos:
Data-Driven Output Matching of Output-Generalized Bilinear and Linear Parameter-Varying systems. ECC 2023: 1-6 - [c46]Renzi Wang, Mathijs Schuurmans, Panagiotis Patrinos:
Interaction-aware Model Predictive Control for Autonomous Driving. ECC 2023: 1-6 - [c45]Pourya Behmandpoor, Panagiotis Patrinos, Marc Moonen:
Model-Free Decentralized Training for Deep Learning Based Resource Allocation in Communication Networks. EUSIPCO 2023: 1494-1498 - [c44]Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher:
Solving stochastic weak Minty variational inequalities without increasing batch size. ICLR 2023 - [c43]Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens:
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms. ICML 2023: 34379-34393 - [i40]Puya Latafat, Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos:
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. CoRR abs/2301.04431 (2023) - [i39]Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
Semi-Supervised Classification with Graph Convolutional Kernel Machines. CoRR abs/2301.13764 (2023) - [i38]Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher:
Solving stochastic weak Minty variational inequalities without increasing batch size. CoRR abs/2302.09029 (2023) - [i37]Thomas Pethick, Puya Latafat, Panagiotis Patrinos, Olivier Fercoq, Volkan Cevher:
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. CoRR abs/2302.09831 (2023) - [i36]Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A. K. Suykens:
Deep Kernel Principal Component Analysis for Multi-level Feature Learning. CoRR abs/2302.11220 (2023) - [i35]Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos:
Data-Driven Output Matching of Output-Generalized Bilinear and Linear Parameter-Varying systems. CoRR abs/2302.12800 (2023) - [i34]Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens:
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms. CoRR abs/2306.05815 (2023) - [i33]Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers. CoRR abs/2306.07015 (2023) - [i32]Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method. CoRR abs/2306.07040 (2023) - [i31]Pourya Behmandpoor, Panagiotis Patrinos, Marc Moonen:
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands. CoRR abs/2311.04600 (2023) - [i30]Pourya Behmandpoor, Marc Moonen, Panagiotis Patrinos:
Zeroth-order Asynchronous Learning with Bounded Delays with a Use-case in Resource Allocation in Communication Networks. CoRR abs/2311.04604 (2023) - [i29]Puya Latafat, Andreas Themelis, Panagiotis Patrinos:
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. CoRR abs/2311.18431 (2023) - [i28]Brecht Evens, Puya Latafat, Panagiotis Patrinos:
Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity. CoRR abs/2312.06540 (2023) - [i27]Jia Wang, Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos:
Fast data-driven iterative learning control for linear system with output disturbance. CoRR abs/2312.14326 (2023) - 2022
- [j40]Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos:
Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms. Comput. Optim. Appl. 82(2): 395-440 (2022) - [j39]Peter Coppens, Panagiotis Patrinos:
Data-Driven Distributionally Robust MPC for Constrained Stochastic Systems. IEEE Control. Syst. Lett. 6: 1274-1279 (2022) - [j38]Puya Latafat, Andreas Themelis, Panagiotis Patrinos:
Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems. Math. Program. 193(1): 195-224 (2022) - [j37]Ben Hermans, Andreas Themelis, Panagiotis Patrinos:
QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs. Math. Program. Comput. 14(3): 497-541 (2022) - [j36]Puya Latafat, Panagiotis Patrinos:
Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays. Optim. Methods Softw. 37(6): 2052-2079 (2022) - [j35]Puya Latafat, Andreas Themelis, Masoud Ahookhosh, Panagiotis Patrinos:
Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity. SIAM J. Optim. 32(3): 2230-2262 (2022) - [j34]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos:
Block Bregman Majorization Minimization with Extrapolation. SIAM J. Math. Data Sci. 4(1): 1-25 (2022) - [c42]Brecht Evens, Mathijs Schuurmans, Panagiotis Patrinos:
Learning MPC for Interaction-Aware Autonomous Driving: A Game-Theoretic Approach. ECC 2022: 34-39 - [c41]Pieter Pas, Mathijs Schuurmans, Panagiotis Patrinos:
Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization. ECC 2022: 417-422 - [c40]Pourya Behmandpoor, Panagiotis Patrinos, Marc Moonen:
Federated Learning Based Resource Allocation for Wireless Communication Networks. EUSIPCO 2022: 1656-1660 - [c39]Pourya Behmandpoor, Panagiotis Patrinos, Marc Moonen:
Learning-Based Resource Allocation with Dynamic Data Rate Constraints. ICASSP 2022: 4088-4092 - [c38]Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher:
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. ICLR 2022 - [i26]Mathijs Schuurmans, Alexander Katriniok, Christopher Ryan Meissen, H. Eric Tseng, Panagiotis Patrinos:
Safe, Learning-Based MPC for Highway Driving under Lane-Change Uncertainty: A Distributionally Robust Approach. CoRR abs/2206.13319 (2022) - [i25]Peter Coppens, Panagiotis Patrinos:
Safe learning LQR of linear dynamics with multiplicative noise. CoRR abs/2207.06062 (2022) - [i24]Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos:
SPIRAL: A Superlinearly Convergent Incremental Proximal Algorithm for Nonconvex Finite Sum Minimization. CoRR abs/2207.08195 (2022) - [i23]Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
Tensor-based Multi-view Spectral Clustering via Shared Latent Space. CoRR abs/2207.11559 (2022) - [i22]Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer, Tong Duy Son:
Sim2real for Autonomous Vehicle Control using Executable Digital Twin. CoRR abs/2208.06226 (2022) - [i21]Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer, Tong Duy Son:
Safety Envelope for Orthogonal Collocation Methods in Embedded Optimal Control. CoRR abs/2211.14853 (2022) - [i20]Renzi Wang, Mathijs Schuurmans, Panagiotis Patrinos:
Interaction-aware Model Predictive Control for Autonomous Driving. CoRR abs/2211.17053 (2022) - [i19]Pieter Pas, Andreas Themelis, Panagiotis Patrinos:
Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control. CoRR abs/2212.04391 (2022) - 2021
- [j33]Ben Hermans, Goele Pipeleers, Panagiotis Patrinos:
A penalty method for nonlinear programs with set exclusion constraints. Autom. 127: 109500 (2021) - [j32]Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos:
Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization. Comput. Optim. Appl. 79(3): 681-715 (2021) - [j31]Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos:
A Block Inertial Bregman Proximal Algorithm for Nonsmooth Nonconvex Problems with Application to Symmetric Nonnegative Matrix Tri-Factorization. J. Optim. Theory Appl. 190(1): 234-258 (2021) - [j30]Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints. Neural Networks 142: 661-679 (2021) - [j29]Masoud Ahookhosh, Andreas Themelis, Panagiotis Patrinos:
A Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local Minima. SIAM J. Optim. 31(1): 653-685 (2021) - [c37]Mathijs Schuurmans, Panagiotis Patrinos:
Data-driven distributionally robust control of partially observable jump linear systems. CDC 2021: 4332-4337 - [c36]Brecht Evens, Puya Latafat, Andreas Themelis, Johan A. K. Suykens, Panagiotis Patrinos:
Neural Network Training as an Optimal Control Problem : - An Augmented Lagrangian Approach -. CDC 2021: 5136-5143 - [c35]Miguel Simões, Andreas Themelis, Panagiotis Patrinos:
Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. EUSIPCO 2021: 2089-2093 - [c34]Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens:
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine. IJCNN 2021: 1-8 - [i18]Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens:
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine. CoRR abs/2102.08443 (2021) - [i17]Peter Coppens, Panagiotis Patrinos:
Data-driven distributionally robust MPC for constrained stochastic systems. CoRR abs/2103.03006 (2021) - [i16]Miguel Simões, Andreas Themelis, Panagiotis Patrinos:
Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. CoRR abs/2103.08533 (2021) - [i15]Mathijs Schuurmans, Panagiotis Patrinos:
Data-driven distributionally robust control of partially observable jump linear systems. CoRR abs/2105.02511 (2021) - [i14]Mathijs Schuurmans, Panagiotis Patrinos:
A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems. CoRR abs/2106.00561 (2021) - [i13]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos:
Block Alternating Bregman Majorization Minimization with Extrapolation. CoRR abs/2107.04395 (2021) - [i12]Pieter Pas, Mathijs Schuurmans, Panagiotis Patrinos:
Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization. CoRR abs/2112.02370 (2021) - 2020
- [j28]Aleksandra Lekic, Ben Hermans, Nenad S. Jovicic, Panagiotis Patrinos:
Microsecond nonlinear model predictive control for DC-DC converters. Int. J. Circuit Theory Appl. 48(3): 406-419 (2020) - [j27]Andreas Themelis, Panagiotis Patrinos:
Douglas-Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results. SIAM J. Optim. 30(1): 149-181 (2020) - [j26]Fernando de la Hucha Arce, Panagiotis Patrinos, Marian Verhelst, Alexander Bertrand:
On the Convexity of Bit Depth Allocation for Linear MMSE Estimation in Wireless Sensor Networks. IEEE Signal Process. Lett. 27: 291-295 (2020) - [j25]Christian A. Hans, Pantelis Sopasakis, Jörg Raisch, Carsten Reincke-Collon, Panagiotis Patrinos:
Risk-Averse Model Predictive Operation Control of Islanded Microgrids. IEEE Trans. Control. Syst. Technol. 28(6): 2136-2151 (2020) - [j24]Jasper Wouters, Panagiotis Patrinos, Fabian Kloosterman, Alexander Bertrand:
Multi-Pattern Recognition Through Maximization of Signal-to-Peak-Interference Ratio With Application to Neural Spike Sorting. IEEE Trans. Signal Process. 68: 6240-6254 (2020) - [c33]Mathijs Schuurmans, Panagiotis Patrinos:
Learning-Based Distributionally Robust Model Predictive Control of Markovian Switching Systems with Guaranteed Stability and Recursive Feasibility. CDC 2020: 4287-4292 - [c32]Andreas Themelis, Ben Hermans, Panagiotis Patrinos:
A new envelope function for nonsmooth DC optimization. CDC 2020: 4697-4702 - [c31]Peter Coppens, Panagiotis Patrinos:
Sample Complexity of Data-Driven Stochastic LQR with Multiplicative Uncertainty. CDC 2020: 6210-6215 - [c30]Nico Vervliet, Andreas Themelis, Panagiotis Patrinos, Lieven De Lathauwer:
A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition. EUSIPCO 2020: 1020-1024 - [c29]Hien Le, Nicolas Gillis, Panagiotis Patrinos:
Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization. ICML 2020: 5671-5681 - [c28]Peter Coppens, Mathijs Schuurmans, Panagiotis Patrinos:
Data-driven distributionally robust LQR with multiplicative noise. L4DC 2020: 521-530 - [i11]Pantelis Sopasakis, Emil Fresk, Panagiotis Patrinos:
OpEn: Code Generation for Embedded Nonconvex Optimization. CoRR abs/2003.00292 (2020) - [i10]Masoud Ahookhosh, Nicolas Gillis, Panagiotis Patrinos:
A block inertial Bregman proximal algorithm for nonsmooth nonconvex problems. CoRR abs/2003.03963 (2020) - [i9]Mathijs Schuurmans, Alexander Katriniok, Hongtei Eric Tseng, Panagiotis Patrinos:
Learning-Based Risk-Averse Model Predictive Control for Adaptive Cruise Control with Stochastic Driver Models. CoRR abs/2005.02646 (2020) - [i8]Peter Coppens, Panagiotis Patrinos:
Sample Complexity of Data-Driven Stochastic LQR with Multiplicative Uncertainty. CoRR abs/2005.12167 (2020) - [i7]Mathijs Schuurmans, Panagiotis Patrinos:
Learning-Based Distributionally Robust Model Predictive Control of Markovian Switching Systems with Guaranteed Stability and Recursive Feasibility. CoRR abs/2009.04422 (2020) - [i6]Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints. CoRR abs/2011.12659 (2020)
2010 – 2019
- 2019
- [j23]Jeroen Verdyck, Wouter Lanneer, Paschalis Tsiaflakis, Werner Coomans, Panagiotis Patrinos, Marc Moonen:
Optimal Dynamic Spectrum Management Algorithms for Multi-User Full-Duplex DSL. IEEE Access 7: 106600-106616 (2019) - [j22]Pantelis Sopasakis, Domagoj Herceg, Alberto Bemporad, Panagiotis Patrinos:
Risk-averse model predictive control. Autom. 100: 281-288 (2019) - [j21]Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos:
Newton-Type Alternating Minimization Algorithm for Convex Optimization. IEEE Trans. Autom. Control. 64(2): 697-711 (2019) - [j20]Puya Latafat, Nikolaos M. Freris, Panagiotis Patrinos:
A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization. IEEE Trans. Autom. Control. 64(10): 4050-4065 (2019) - [j19]Andreas Themelis, Panagiotis Patrinos:
SuperMann: A Superlinearly Convergent Algorithm for Finding Fixed Points of Nonexpansive Operators. IEEE Trans. Autom. Control. 64(12): 4875-4890 (2019) - [c27]Ben Hermans, Andreas Themelis, Panagiotis Patrinos:
QPALM: A Newton-type Proximal Augmented Lagrangian Method for Quadratic Programs. CDC 2019: 4325-4330 - [c26]Alexander Katriniok, Pantelis Sopasakis, Mathijs Schuurmans, Panagiotis Patrinos:
Nonlinear Model Predictive Control for Distributed Motion Planning in Road Intersections Using PANOC. CDC 2019: 5272-5278 - [c25]Mathijs Schuurmans, Pantelis Sopasakis, Panagiotis Patrinos:
Safe Learning-Based Control of Stochastic Jump Linear Systems: a Distributionally Robust Approach. CDC 2019: 6498-6503 - [c24]Pantelis Sopasakis, Mathijs Schuurmans, Panagiotis Patrinos:
Risk-averse risk-constrained optimal control. ECC 2019: 375-380 - [c23]Pantelis Sopasakis, Krina Menounou, Panagiotis Patrinos:
SuperSCS: fast and accurate large-scale conic optimization. ECC 2019: 1500-1505 - [c22]Elias Small, Pantelis Sopasakis, Emil Fresk, Panagiotis Patrinos, George Nikolakopoulos:
Aerial navigation in obstructed environments with embedded nonlinear model predictive control. ECC 2019: 3556-3563 - [i5]Mathijs Schuurmans, Pantelis Sopasakis, Panagiotis Patrinos:
Safe Learning-Based Control of Stochastic Jump Linear Systems: a Distributionally Robust Approach. CoRR abs/1903.10040 (2019) - [i4]Alexander Katriniok, Pantelis Sopasakis, Mathijs Schuurmans, Panagiotis Patrinos:
Nonlinear Model Predictive Control for Distributed Motion Planning in Road Intersections Using PANOC. CoRR abs/1903.12091 (2019) - [i3]Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos:
Multi-block Bregman proximal alternating linearized minimization and its application to sparse orthogonal nonnegative matrix factorization. CoRR abs/1908.01402 (2019) - [i2]Peter Coppens, Mathijs Schuurmans, Panagiotis Patrinos:
Data-driven distributionally robust LQR with multiplicative noise. CoRR abs/1912.09990 (2019) - 2018
- [j18]Pantelis Sopasakis, Ajay K. Sampathirao, Alberto Bemporad, Panagiotis Patrinos:
Uncertainty-aware demand management of water distribution networks in deregulated energy markets. Environ. Model. Softw. 101: 10-22 (2018) - [j17]Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos:
Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms. SIAM J. Optim. 28(3): 2274-2303 (2018) - [j16]Ajay K. Sampathirao, Pantelis Sopasakis, Alberto Bemporad, Panagiotis Patrinos:
GPU-Accelerated Stochastic Predictive Control of Drinking Water Networks. IEEE Trans. Control. Syst. Technol. 26(2): 551-562 (2018) - [c21]Puya Latafat, Panagiotis Patrinos:
Multi-agent structured optimization over message-passing architectures with bounded communication delays. CDC 2018: 1688-1693 - [c20]Puya Latafat, Alberto Bemporad, Panagiotis Patrinos:
Plug and Play Distributed Model Predictive Control with Dynamic Coupling: A Randomized Primal-Dual Proximal Algorithm. ECC 2018: 1160-1165 - [c19]Ajay Sathya, Pantelis Sopasakis, Ruben Van Parys, Andreas Themelis, Goele Pipeleers, Panagiotis Patrinos:
Embedded nonlinear model predictive control for obstacle avoidance using PANOC. ECC 2018: 1523-1528 - 2017
- [j15]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:
Multidisciplinary Learning through Implementation of the DVB-S2 Standard. IEEE Commun. Mag. 55(5): 124-130 (2017) - [j14]Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos:
Forward-backward quasi-Newton methods for nonsmooth optimization problems. Comput. Optim. Appl. 67(3): 443-487 (2017) - [j13]Puya Latafat, Panagiotis Patrinos:
Asymmetric forward-backward-adjoint splitting for solving monotone inclusions involving three operators. Comput. Optim. Appl. 68(1): 57-93 (2017) - [c18]Lorenzo Stella, Andreas Themelis, Pantelis Sopasakis, Panagiotis Patrinos:
A simple and efficient algorithm for nonlinear model predictive control. CDC 2017: 1939-1944 - [c17]Pantelis Sopasakis, Andreas Themelis, Johan A. K. Suykens, Panagiotis Patrinos:
A primal-dual line search method and applications in image processing. EUSIPCO 2017: 1065-1069 - [c16]Domagoj Herceg, George K. Georgoulas, Pantelis Sopasakis, Miguel Castano, Panagiotis Patrinos, Alberto Bemporad, Jan Niemi, George Nikolakopoulos:
Data-driven modelling, learning and stochastic predictive control for the steel industry. MED 2017: 1361-1366 - 2016
- [c15]Nikolaos M. Freris, Panagiotis Patrinos:
Distributed computing over encrypted data. Allerton 2016: 1116-1122 - [c14]Puya Latafat, Lorenzo Stella, Panagiotis Patrinos:
New primal-dual proximal algorithm for distributed optimization. CDC 2016: 1959-1964 - [c13]Andreas Themelis, Silvia Villa, Panagiotis Patrinos, Alberto Bemporad:
Stochastic gradient methods for stochastic model predictive control. ECC 2016: 154-159 - [c12]Pantelis Sopasakis, Nikolaos M. Freris, Panagiotis Patrinos:
Accelerated reconstruction of a compressively sampled data stream. EUSIPCO 2016: 1078-1082 - 2015
- [j12]Panagiotis Patrinos, Alberto Guiggiani, Alberto Bemporad:
A dual gradient-projection algorithm for model predictive control in fixed-point arithmetic. Autom. 55: 226-235 (2015) - [j11]Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, Alberto Bemporad:
Model Predictive Control for Linear Impulsive Systems. IEEE Trans. Autom. Control. 60(8): 2277-2282 (2015) - [c11]Alberto Guiggiani, Ilya V. Kolmanovsky, Panagiotis Patrinos, Alberto Bemporad:
Fixed-point constrained Model Predictive Control of spacecraft attitude. ACC 2015: 2317-2322 - [c10]Ajay K. Sampathirao, Pantelis Sopasakis, Alberto Bemporad, Panagiotis Patrinos:
Distributed solution of stochastic optimal control problems on GPUs. CDC 2015: 7183-7188 - [c9]Alberto Guiggiani, Ilya V. Kolmanovsky, Panagiotis Patrinos, Alberto Bemporad:
Constrained Model Predictive Control of spacecraft attitude with reaction wheels desaturation. ECC 2015: 1382-1387 - [i1]Alberto Bemporad, Daniele Bernardini, Panagiotis Patrinos:
A Convex Feasibility Approach to Anytime Model Predictive Control. CoRR abs/1502.07974 (2015) - 2014
- [j10]Panagiotis Patrinos, Pantelis Sopasakis, Haralambos Sarimveis, Alberto Bemporad:
Stochastic model predictive control for constrained discrete-time Markovian switching systems. Autom. 50(10): 2504-2514 (2014) - [j9]Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis:
Robust model predictive control for optimal continuous drug administration. Comput. Methods Programs Biomed. 116(3): 193-204 (2014) - [j8]Panagiotis Patrinos, Alberto Bemporad:
An Accelerated Dual Gradient-Projection Algorithm for Embedded Linear Model Predictive Control. IEEE Trans. Autom. Control. 59(1): 18-33 (2014) - [j7]Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis:
MPC for Sampled-Data Linear Systems: Guaranteeing Constraint Satisfaction in Continuous-Time. IEEE Trans. Autom. Control. 59(4): 1088-1093 (2014) - [j6]Matteo Rubagotti, Panagiotis Patrinos, Alberto Bemporad:
Stabilizing Linear Model Predictive Control Under Inexact Numerical Optimization. IEEE Trans. Autom. Control. 59(6): 1660-1666 (2014) - [c8]Panagiotis Patrinos, Lorenzo Stella, Alberto Bemporad:
Douglas-rachford splitting: Complexity estimates and accelerated variants. CDC 2014: 4234-4239 - [c7]Andrei Patrascu, Ion Necoara, Panagiotis Patrinos:
A proximal alternating minimization method for ℓ0-regularized nonlinear optimization problems: application to state estimation. CDC 2014: 4254-4259 - 2013
- [c6]Panagiotis Patrinos, Alberto Bemporad:
Proximal Newton methods for convex composite optimization. CDC 2013: 2358-2363 - [c5]Matteo Rubagotti, Panagiotis Patrinos, Alberto Bemporad:
Stabilizing embedded MPC with computational complexity guarantees. ECC 2013: 3065-3070 - [c4]Panagiotis Patrinos, Alberto Guiggiani, Alberto Bemporad:
Fixed-point dual gradient projection for embedded model predictive control. ECC 2013: 3602-3607 - 2012
- [c3]Panagiotis Patrinos, Alberto Bemporad:
An accelerated dual gradient-projection algorithm for linear model predictive control. CDC 2012: 662-667 - [c2]Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, Alberto Bemporad:
Model Predictive Control for Linear Impulsive Systems. CDC 2012: 5164-5169 - 2011
- [j5]Panagiotis Patrinos, Haralambos Sarimveis:
Convex parametric piecewise quadratic optimization: Theory and algorithms. Autom. 47(8): 1770-1777 (2011) - [j4]Panagiotis Patrinos, Pantelis Sopasakis, Haralambos Sarimveis:
A global piecewise smooth Newton method for fast large-scale model predictive control. Autom. 47(9): 2016-2022 (2011) - [c1]Panagiotis Patrinos, Sergio Trimboli, Alberto Bemporad:
Stochastic MPC for real-time market-based optimal power dispatch. CDC/ECC 2011: 7111-7116 - 2010
- [j3]Panagiotis Patrinos, Haralambos Sarimveis:
A new algorithm for solving convex parametric quadratic programs based on graphical derivatives of solution mappings. Autom. 46(9): 1405-1418 (2010) - [j2]Panagiotis Patrinos, Alex Alexandridis, Konstantinos Ninos, Haralambos Sarimveis:
Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation. Int. J. Neural Syst. 20(5): 365-379 (2010)
2000 – 2009
- 2008
- [j1]Haralambos Sarimveis, Panagiotis Patrinos, Christos D. Tarantilis, Chris T. Kiranoudis:
Dynamic modeling and control of supply chain systems: A review. Comput. Oper. Res. 35(11): 3530-3561 (2008)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 22:29 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
