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Found 3 papers, 1 papers with code
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning
Furthermore, we find that the lognormal distribution, which can handle skewed distributions, produces quality uncertainty estimates at the extremes.
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution
The impacts of climate change are felt by most critical systems, such as infrastructure, ecological systems, and power-plants.
Intercomparison of Machine Learning Methods for Statistical Downscaling: The Case of Daily and Extreme Precipitation
Statistical downscaling of global climate models (GCMs) allows researchers to study local climate change effects decades into the future.
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