24 citations · 61 across the 9 of their papers we have counts for
9 papers
Generation of non-stationary stochastic fields using Generative Adversarial Networks
Alhasan Abdellatif, Ahmed H. Elsheikh, Daniel Busby +1
In the context of generating geological facies conditioned on observed data, samples corresponding to all possible conditions are not generally available in the training set and he…
Generating unrepresented proportions of geological facies using Generative Adversarial Networks
Alhasan Abdellatif, Ahmed H. Elsheikh, Gavin Graham +2
In this work, we investigate the capacity of Generative Adversarial Networks (GANs) in interpolating and extrapolating facies proportions in a geological dataset. The new generated…
Cube root weak convergence of empirical estimators of a density level set
Philippe Berthet, John H. J. Einmahl
Given independent random vectors with common density on , we study the weak convergence of three empirical-measure based estimators of the convex -level se…
Exact rate of convergence of the mean Wasserstein distance between the empirical and true Gaussian distribution
Philippe Berthet, Jean-Claude Fort
We study the Wasserstein distance for Gaussian samples. We establish the exact rate of convergence of the expected value of the distance between t…
Weak convergence of empirical Wasserstein type distances
Philippe Berthet, Jean-Claude Fort
We estimate contrasts between two continuous distributions and on such that the set is a finite union of interval…
Auxiliary information : the raking-ratio empirical process
Mickael Albertus, Philippe Berthet
We study the empirical measure associated to a sample of size and modified by iterations of the raking-ratio method. This empirical measure is adjusted to match the true pr…