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ORCIDFrederik Baymler Mathiesen
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2020 – today
- 2024
[c4]Xinyu Wang, Luzia Knödler, Frederik Baymler Mathiesen
, Javier Alonso-Mora:
Simultaneous Synthesis and Verification of Neural Control Barrier Functions Through Branch-and-Bound Verification-in-the-Loop Training. ECC 2024: 571-578- [c3]Jeroen Hagenus, Frederik Baymler Mathiesen, Julian F. Schumann, Arkady Zgonnikov:
Robustness in trajectory prediction for autonomous vehicles: a survey. IV 2024: 969-976 - [i9]Frederik Baymler Mathiesen, Morteza Lahijanian, Luca Laurenti:
IntervalMDP.jl: Accelerated Value Iteration for Interval Markov Decision Processes. CoRR abs/2401.04068 (2024) - [i8]Jeroen Hagenus, Frederik Baymler Mathiesen, Julian Frederik Schumann, Arkady Zgonnikov:
A survey on robustness in trajectory prediction for autonomous vehicles. CoRR abs/2402.01397 (2024) - [i7]Rayan Mazouz, Frederik Baymler Mathiesen, Luca Laurenti, Morteza Lahijanian:
Piecewise Stochastic Barrier Functions. CoRR abs/2404.16986 (2024) - [i6]Rayan Mazouz, John Skovbekk, Frederik Baymler Mathiesen, Eric W. Frew, Luca Laurenti, Morteza Lahijanian:
Data-Driven Permissible Safe Control with Barrier Certificates. CoRR abs/2405.00136 (2024) - [i5]Frederik Baymler Mathiesen, Licio Romao, Simeon C. Calvert, Luca Laurenti, Alessandro Abate:
A data-driven approach for safety quantification of non-linear stochastic systems with unknown additive noise distribution. CoRR abs/2410.06662 (2024) - 2023
- [j1]Frederik Baymler Mathiesen, Simeon C. Calvert, Luca Laurenti:
Safety Certification for Stochastic Systems via Neural Barrier Functions. IEEE Control. Syst. Lett. 7: 973-978 (2023) - [c2]Frederik Baymler Mathiesen, Licio Romao, Simeon C. Calvert, Alessandro Abate, Luca Laurenti:
Inner Approximations of Stochastic Programs for Data-Driven Stochastic Barrier Function Design. CDC 2023: 3073-3080 - [i4]Frederik Baymler Mathiesen, Licio Romao, Simeon C. Calvert, Alessandro Abate, Luca Laurenti:
Inner approximations of stochastic programs for data-driven stochastic barrier function design. CoRR abs/2304.04505 (2023) - [i3]Xinyu Wang, Luzia Knödler, Frederik Baymler Mathiesen, Javier Alonso-Mora:
Simultaneous Synthesis and Verification of Neural Control Barrier Functions through Branch-and-Bound Verification-in-the-loop Training. CoRR abs/2311.10438 (2023) - 2022
- [c1]Frederik Baymler Mathiesen, Bin Yang, Jilin Hu:
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems. AAAI 2022: 4575-4582 - [i2]Frederik Baymler Mathiesen, Simeon C. Calvert, Luca Laurenti:
Safety Certification for Stochastic Systems via Neural Barrier Functions. CoRR abs/2206.01463 (2022) - 2020
- [i1]Frederik Baymler Mathiesen, Garey Fleeman:
A Flow-Efficient and Legal-by-Construction Real-Time Traffic Signal Control Platform. CoRR abs/2011.00560 (2020)
Coauthor Index
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