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Found 5 papers, 4 papers with code
Using transfer learning to study burned area dynamics: A case study of refugee settlements in West Nile, Northern Uganda
By comparing the district-level BA dynamic with the wider West Nile region, we aim to add understanding of the land management impacts of refugee settlements on their surrounding environments.
Predicting Landsat Reflectance with Deep Generative Fusion
Public satellite missions are commonly bound to a trade-off between spatial and temporal resolution as no single sensor provides fine-grained acquisitions with frequent coverage.
GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language
Gaussian processes are a class of flexible nonparametric Bayesian tools that are widely used across the sciences, and in industry, to model complex data sources.
Unbiased estimation of log normalizing constants with applications to Bayesian cross-validation
Posterior distributions often feature intractable normalizing constants, called marginal likelihoods or evidence, that are useful for model comparison via Bayes factors.
Computation Methodology
Bias correction in daily maximum and minimum temperature measurements through Gaussian process modeling
Our idea is to impute the hourly temperatures at the location of the measurements by borrowing information from the nearby stations that record hourly temperatures, which then can be used to create accurate summaries of temperature extremes.
Applications Methodology
