Efficient semantic image segmentation with superpixel pooling. - Mathijs Schuurmans; Maxim Berman; Matthew B. Blaschko (CoRR, 2018)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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