"Quantifying Uncertainty in Discrete-Continuous and Skewed Data with ..."

Thomas Vandal et al. (2018)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2018-08-13

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1802-04742
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  - https://dblp.org/rec/journals/corr/abs-1802-04742
Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly:
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. CoRR abs/1802.04742 (2018)

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