Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry

Stefan Klus, Patrick Gelß, Feliks Nüske, Frank Noé. Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry. Mach. Learn. Sci. Technol., 2(4):45016, 2021. [doi]

@article{KlusGNN21,
  title = {Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry},
  author = {Stefan Klus and Patrick Gelß and Feliks Nüske and Frank Noé},
  year = {2021},
  doi = {10.1088/2632-2153/ac14ad},
  url = {https://doi.org/10.1088/2632-2153/ac14ad},
  researchr = {https://researchr.org/publication/KlusGNN21},
  cites = {0},
  citedby = {0},
  journal = {Mach. Learn. Sci. Technol.},
  volume = {2},
  number = {4},
  pages = {45016},
}