Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution

Elliott Skomski, Jan Drgona, Aaron Tuor. Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution. In Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger, editors, Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland. Volume 144 of Proceedings of Machine Learning Research, pages 980-991, PMLR, 2021. [doi]

@inproceedings{SkomskiDT21,
  title = {Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution},
  author = {Elliott Skomski and Jan Drgona and Aaron Tuor},
  year = {2021},
  url = {http://proceedings.mlr.press/v144/skomski21a.html},
  researchr = {https://researchr.org/publication/SkomskiDT21},
  cites = {0},
  citedby = {0},
  pages = {980-991},
  booktitle = {Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland},
  editor = {Ali Jadbabaie and John Lygeros and George J. Pappas and Pablo A. Parrilo and Benjamin Recht and Claire J. Tomlin and Melanie N. Zeilinger},
  volume = {144},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}