Deeply uncertain: comparing methods of uncertainty quantification in deep learning algorithms

João Caldeira, Brian Nord. Deeply uncertain: comparing methods of uncertainty quantification in deep learning algorithms. Mach. Learn. Sci. Technol., 2(1):15002, 2021. [doi]

@article{CaldeiraN21,
  title = {Deeply uncertain: comparing methods of uncertainty quantification in deep learning algorithms},
  author = {João Caldeira and Brian Nord},
  year = {2021},
  doi = {10.1088/2632-2153/aba6f3},
  url = {https://doi.org/10.1088/2632-2153/aba6f3},
  researchr = {https://researchr.org/publication/CaldeiraN21},
  cites = {0},
  citedby = {0},
  journal = {Mach. Learn. Sci. Technol.},
  volume = {2},
  number = {1},
  pages = {15002},
}