@misc{mathiesen2023inner,title={Inner approximations of stochastic programs for data-driven stochastic barrier function design},author={Mathiesen, Frederik Baymler and Romao, Licio and Calvert, Simeon C. and Abate, Alessandro and Laurenti, Luca},year={2023},primaryclass={eess.SY},}
@article{mathiesen2023neuralbarrierfunctions,author={Mathiesen, Frederik Baymler and Calvert, Simeon C. and Laurenti, Luca},journal={IEEE Control Systems Letters},title={Safety Certification for Stochastic Systems via Neural Barrier Functions},year={2023},}
@article{mathiesen2022hyperverlet,title={HyperVerlet: A Symplectic Hypersolver for Hamiltonian Systems},author={Mathiesen, Frederik Baymler and Yang, Bin and Hu, Jilin},year={2022},}
2021
Master thesis
HyperVerlet: A Deep Learning Method for Numerically Solving Initial Value Problems of Hamiltonian Systems
@thesis{madsen2021deep,title={HyperVerlet: A Deep Learning Method for Numerically Solving Initial Value Problems of Hamiltonian Systems},author={Madsen, Anders and Mathiesen, Frederik Baymler},year={2021},}
2020
arXiv
A Flow-Efficient and Legal-by-Construction Real-Time Traffic Signal Control Platform
@misc{mathiesen2020flowefficient,title={A Flow-Efficient and Legal-by-Construction Real-Time Traffic Signal Control Platform},author={Mathiesen, Frederik Baymler and Fleeman, Garey},year={2020},primaryclass={eess.SY},}