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2020 – today
- 2024
[j52]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)- [j51]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) - [j50]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) - [j49]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) - [j48]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) - [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) - [c54]Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification. AAAI 2024: 10766-10774 - [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 - [i48]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) - [i47]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) - [i46]Konstantinos A. Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos:
Adaptive proximal gradient methods are universal without approximation. CoRR abs/2402.06271 (2024) - [i45]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) - [i44]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) - [i43]Renzi Wang, Alexander Bodard, Mathijs Schuurmans, Panagiotis Patrinos:
EM++: A parameter learning framework for stochastic switching systems. CoRR abs/2407.16359 (2024) - [i42]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) - [i41]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) - 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]