SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision

Irina Higgins, Peter Wirnsberger, Andrew Jaegle, Aleksandar Botev. SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 25591-25605, 2021. [doi]

@inproceedings{HigginsWJB21,
  title = {SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision},
  author = {Irina Higgins and Peter Wirnsberger and Andrew Jaegle and Aleksandar Botev},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/d6ef5f7fa914c19931a55bb262ec879c-Abstract.html},
  researchr = {https://researchr.org/publication/HigginsWJB21},
  cites = {0},
  citedby = {0},
  pages = {25591-25605},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}