Paul Goulart - University of Oxford

The past does matter: correlation of subsequent states in trajectory predictions of Gaussian Process models
Steffen Ridderbusch, Sina Ober-Blöbaum and Paul J. Goulart
in Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, vol. 216, pp. 1752-1761, August 2023.
BibTeX URL

@inproceedings{ROG:2023,
  author = {Ridderbusch, Steffen and Ober-Blöbaum, Sina and Goulart, Paul J.},
  title = {The past does matter: correlation of subsequent states in trajectory predictions of Gaussian Process models},
  booktitle = {Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence},
  publisher = {PMLR},
  year = {2023},
  volume = {216},
  pages = {1752-1761},
  url = {https://proceedings.mlr.press/v216/ridderbusch23a.html}
}

Reliably-Stabilizing Piecewise-Affine Neural Network Controllers
Filippo Fabiani and Paul J. Goulart
IEEE Transactions on Automatic Control, vol. 68, no. 9, pp. 5201-5215, 2023.
BibTeX URL Preprint

@article{FG:2023,
  author = {Fabiani, Filippo and Goulart, Paul J.},
  title = {Reliably-Stabilizing Piecewise-Affine Neural Network Controllers},
  journal = {IEEE Transactions on Automatic Control},
  year = {2023},
  volume = {68},
  number = {9},
  pages = {5201-5215},
  url = {https://ieeexplore.ieee.org/document/9928332},
  doi = {10.1109/TAC.2022.3216978}
}

Probabilistic stabilizability certificates for a class of black-box linear systems
Filippo Fabiani, Kostas Margellos and Paul J. Goulart
IEEE Control Systems Letters, vol. 6, pp. 584-589, June 2022.
BibTeX URL Preprint

@article{FMG:2022b,
  author = {Filippo Fabiani and Kostas Margellos and Paul J. Goulart},
  title = {Probabilistic stabilizability certificates for a class of black-box linear systems},
  journal = {IEEE Control Systems Letters},
  year = {2022},
  volume = {6},
  pages = {584-589},
  url = {https://ieeexplore.ieee.org/document/9441020},
  doi = {10.1109/LCSYS.2021.3083962}
}

Neural network controllers for uncertain linear systems
Filippo Fabiani and Paul J. Goulart
April 2022.
BibTeX Preprint

@misc{FG:2022,
  author = {Filippo Fabiani and Paul J. Goulart},
  title = {Neural network controllers for uncertain linear systems},
  year = {2022}
}

Learning ODE Models with Qualitative Structure Using Gaussian Processes
Steffen Ridderbusch, Christian Offen, Sina Ober-Bloebaum and Paul J. Goulart
in 2021 IEEE Conference on Decision and Control (CDC), December 2021.
BibTeX

@inproceedings{ROOG:2021,
  author = {Steffen Ridderbusch and Christian Offen and Sina Ober-Bloebaum and Paul J. Goulart},
  title = {Learning ODE Models with Qualitative Structure Using Gaussian Processes},
  booktitle = {2021 IEEE Conference on Decision and Control (CDC)},
  year = {2021}
}

The optimal transport paradigm enables data compression in data-driven robust control
F. Fabiani and P. J. Goulart
in American Control Conference, New Orleans, LA, USA, pp. 3431-3436, June 2021.
BibTeX

@inproceedings{FG:2021,
  author = {F. Fabiani and P. J. Goulart},
  title = {The optimal transport paradigm enables data compression in data-driven robust control},
  booktitle = {American Control Conference},
  year = {2021},
  pages = {3431-3436}
}

Distributionally Robust Optimization Techniques in Batch Bayesian Optimization
N. Rontsis, M. A. Osborne and P. J. Goulart
Journal of Machine Learning Research, vol. 21, no. 149, pp. 1-26, July 2020.
BibTeX URL Preprint Code

@article{ROG:2020,
  author = {N. Rontsis and M. A. Osborne and P. J. Goulart},
  title = {Distributionally Robust Optimization Techniques in Batch Bayesian Optimization},
  journal = {Journal of Machine Learning Research},
  year = {2020},
  volume = {21},
  number = {149},
  pages = {1-26},
  url = {https://jmlr.org/papers/v21/18-211.html}
}