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High-Dimensional Gaussian Mixture
The dataset is a mixture of 4 equally weighted isotropic Gaussians p⋆ i = N (µi, Id) where the µi are defined as µ1 = a × (1, 1, 1,..., 1, 1, 1), µ2 = a × (−1, −1, −1,..., 1, 1,... -
Importance Sampling with Variational Autoencoders
The dataset used in the paper is a high-dimensional non-parametric importance sampling problem.
