7 datasets found

The dataset is used for clustering simulation output distributions using the regularized Wasserstein distance.

Two-sample test using projected Wasserstein distance for the two-sample test, a fundamental problem in statistics and machine learning: given two sets of samples, to determine...

The dataset used in the paper is a noise distribution and a high-dimensional data distribution.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a high-dimensional continuous distribution p0, p1 for which the ground truth...

The dataset condensation problem involves transforming a large-scale training set X into a smaller synthetic set X'.

The dataset used in the paper is a synthetic MNIST dataset generated by forming barycenters constructed with weights sampled uniformly from ∆3.

The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge...