@misc{gillis2026covariance,
  archiveprefix = {arXiv},
  author = {H. Martin Gillis and Isaac Xu and Gabriel Spadon and Thomas Trappenberg},
  doi = {10.48550/arXiv.2607.23856},
  eprint = {2607.23856},
  howpublished = {arXiv},
  keywords = {Deep Learning, Neural Networks, Probabilistic modeling, Machine Learning},
  month = {Jul},
  primaryclass = {cs.LG},
  title = {Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification},
  url = {https://arxiv.org/abs/2607.23856},
  year = {2026}
}