| Data-driven distributionally robust LQR with multiplicative noise P Coppens, M Schuurmans, P Patrinos Learning for dynamics and control, 521-530, 2020 | 48 | 2020 |
| Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach M Schuurmans, A Katriniok, C Meissen, HE Tseng, P Patrinos Artificial Intelligence 320, 103920, 2023 | 41 | 2023 |
| Learning MPC for interaction-aware autonomous driving: A game-theoretic approach B Evens, M Schuurmans, P Patrinos 2022 European Control Conference (ECC), 34-39, 2022 | 36 | 2022 |
| A general framework for learning-based distributionally robust MPC of Markov jump systems M Schuurmans, P Patrinos IEEE Transactions on Automatic Control 68 (5), 2950-2965, 2023 | 34 | 2023 |
| Risk-averse risk-constrained optimal control P Sopasakis, M Schuurmans, P Patrinos 2019 18th European Control Conference (ECC), 375-380, 2019 | 34 | 2019 |
| Nonlinear model predictive control for distributed motion planning in road intersections using PANOC A Katriniok, P Sopasakis, M Schuurmans, P Patrinos 2019 IEEE 58th Conference on Decision and Control (CDC), 5272-5278, 2019 | 32 | 2019 |
| Safe learning-based control of stochastic jump linear systems: a distributionally robust approach M Schuurmans, P Sopasakis, P Patrinos 2019 IEEE 58th Conference on Decision and Control (CDC), 6498-6503, 2019 | 30 | 2019 |
| Interaction-aware model predictive control for autonomous driving R Wang, M Schuurmans, P Patrinos 2023 European Control Conference (ECC), 1-6, 2023 | 29 | 2023 |
| Efficient semantic image segmentation with superpixel pooling M Schuurmans, M Berman, MB Blaschko arXiv preprint arXiv:1806.02705, 2018 | 24 | 2018 |
| Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization P Pas, M Schuurmans, P Patrinos 2022 European Control Conference (ECC), 417-422, 2022 | 19 | 2022 |
| Learning-based distributionally robust model predictive control of markovian switching systems with guaranteed stability and recursive feasibility M Schuurmans, P Patrinos 2020 59th IEEE Conference on Decision and Control (CDC), 4287-4292, 2020 | 19 | 2020 |
| Learning-based risk-averse model predictive control for adaptive cruise control with stochastic driver models M Schuurmans, A Katriniok, HE Tseng, P Patrinos IFAC-PapersOnLine 53 (2), 15128-15133, 2020 | 16 | 2020 |
| Data-driven distributionally robust control of partially observable jump linear systems M Schuurmans, P Patrinos 2021 60th IEEE Conference on Decision and Control (CDC), 4332-4337, 2021 | 9 | 2021 |
| SPOCK: A proximal method for multistage risk-averse optimal control problems A Bodard, R Moran, M Schuurmans, P Patrinos, P Sopasakis IFAC-PapersOnLine 56 (2), 1944-1951, 2023 | 5 | 2023 |
| EM++: A parameter learning framework for stochastic switching systems R Wang, A Bodard, M Schuurmans, P Patrinos arXiv preprint arXiv:2407.16359, 2024 | 3 | 2024 |
| Distributionally robust optimization using cost-aware ambiguity sets M Schuurmans, P Patrinos IEEE Control Systems Letters 7, 1855-1860, 2023 | 3 | 2023 |
| Risk-Sensitive Model Predictive Control for Interaction-Aware Planning--A Sequential Convexification Algorithm R Wang, M Schuurmans, P Patrinos arXiv preprint arXiv:2503.14328, 2025 | 1 | 2025 |
| Intraday Power Trading for Imbalance Markets: An Adaptive Risk-Averse Strategy using Mixture Models R Bruneel, M Schuurmans, P Patrinos arXiv e-prints, arXiv: 2402.01215, 2024 | 1 | 2024 |
| Probabilistic Safety under Arbitrary Disturbance Distributions using Piecewise-Affine Control Barrier Functions M Teuwen, M Schuurmans, P Patrinos arXiv preprint arXiv:2512.04194, 2025 | | 2025 |
| Optimal intraday power trading for single-price balancing markets: An adaptive risk-averse strategy using mixture models R Bruneel, M Schuurmans, P Patrinos Applied Energy 389, 125754, 2025 | | 2025 |
Panagiotis PatrinosProfessor, KU LeuvenVerified email at esat.kuleuven.be
