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Greatest papers with code

Generating Realistic Geology Conditioned on Physical Measurements with Generative Adversarial Networks

8 Feb 2018amoodie/StratGAN

An important problem in geostatistics is to build models of the subsurface of the Earth given physical measurements at sparse spatial locations.

SPATIAL INTERPOLATION

SXL: Spatially explicit learning of geographic processes with auxiliary tasks

18 Jun 2020konstantinklemmer/sxl

From earth system sciences to climate modeling and ecology, many of the greatest empirical modeling challenges are geographic in nature.

IMAGE GENERATION SPATIAL INTERPOLATION

On identifiability and consistency of the nugget in Gaussian spatial process models

15 Aug 2019LuZhangstat/nugget_consistency

We formally establish results on the identifiability and consistency of the nugget in spatial models based upon the Gaussian process within the framework of in-fill asymptotics, i. e. the sample size increases within a sampling domain that is bounded.

SPATIAL INTERPOLATION STATISTICS THEORY STATISTICS THEORY

$π$VAE: Encoding stochastic process priors with variational autoencoders

17 Feb 2020lukasadam/piVAE

We show that our framework can accurately learn expressive function classes such as Gaussian processes, but also properties of functions to enable statistical inference (such as the integral of a log Gaussian process).

GAUSSIAN PROCESSES PROBABILISTIC PROGRAMMING SPATIAL INTERPOLATION