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@INPROCEEDINGS{Paul:1037163,
      author       = {Paul, Richard Dominik and Quercia, Alessio and Fortuin, V.
                      and Nöh, Katharina and Scharr, Hanno},
      title        = {{P}arameter-efficient {B}ayesian neural networks for
                      uncertainty-aware depth estimation},
      reportid     = {FZJ-2025-00508},
      year         = {2024},
      note         = {Funding: HIDA, HDS-LEE},
      month         = {Sep},
      date          = {2024-09-29},
      organization  = {3rd Workshop on Uncertainty
                       Quantification for Computer Vision, at
                       the 18th European Conference on
                       Computer Vision ECCV 2024, Milano
                       (Italy), 29 Sep 2024 - 4 Oct 2024},
      subtyp        = {After Call},
      cin          = {IBG-1 / IAS-8},
      cid          = {I:(DE-Juel1)IBG-1-20101118 / I:(DE-Juel1)IAS-8-20210421},
      pnm          = {2171 - Biological and environmental resources for
                      sustainable use (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2171},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/1037163},
}