Mathijs Schuurmans

According to our database, Mathijs Schuurmans authored at least 17 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Risk-Sensitive Model Predictive Control for Interaction-Aware Planning-A Sequential Convexification Algorithm.

Renzi Wang, Mathijs Schuurmans, Panagiotis Patrinos

IEEE Control. Syst. Lett., 2025

2024

EM++: A parameter learning framework for stochastic switching systems.

Renzi Wang, Alexander Bodard, Mathijs Schuurmans, Panagiotis Patrinos

CoRR, 2024

Intraday Power Trading for Imbalance Markets: An Adaptive Risk-Averse Strategy using Mixture Models.

Robin Bruneel, Mathijs Schuurmans, Panagiotis Patrinos

CoRR, 2024

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., July, 2023

A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems.

Mathijs Schuurmans, Panagiotis Patrinos

IEEE Trans. Autom. Control., May, 2023

Distributionally Robust Optimization Using Cost-Aware Ambiguity Sets.

Mathijs Schuurmans, Panagiotis Patrinos

IEEE Control. Syst. Lett., 2023

Interaction-aware Model Predictive Control for Autonomous Driving.

Renzi Wang, Mathijs Schuurmans, Panagiotis Patrinos

Proceedings of the European Control Conference, 2023

2022

Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization.

Pieter Pas, Mathijs Schuurmans, Panagiotis Patrinos

Proceedings of the European Control Conference, 2022

Learning MPC for Interaction-Aware Autonomous Driving: A Game-Theoretic Approach.

Brecht Evens, Mathijs Schuurmans, Panagiotis Patrinos

Proceedings of the European Control Conference, 2022

2021

Data-driven distributionally robust control of partially observable jump linear systems.

Mathijs Schuurmans, Panagiotis Patrinos

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

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 LQR with multiplicative noise.

Peter Coppens, Mathijs Schuurmans, Panagiotis Patrinos

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Learning-Based Distributionally Robust Model Predictive Control of Markovian Switching Systems with Guaranteed Stability and Recursive Feasibility.

Mathijs Schuurmans, Panagiotis Patrinos

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Risk-averse risk-constrained optimal control.

Pantelis Sopasakis, Mathijs Schuurmans, Panagiotis Patrinos

Proceedings of the 17th European Control Conference, 2019

Safe Learning-Based Control of Stochastic Jump Linear Systems: a Distributionally Robust Approach.

Mathijs Schuurmans, Pantelis Sopasakis, Panagiotis Patrinos

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Nonlinear Model Predictive Control for Distributed Motion Planning in Road Intersections Using PANOC.

Alexander Katriniok, Pantelis Sopasakis, Mathijs Schuurmans, Panagiotis Patrinos

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Efficient semantic image segmentation with superpixel pooling.

Mathijs Schuurmans, Maxim Berman, Matthew B. Blaschko

CoRR, 2018