6 datasets found

Stochastic processes have found numerous applications in science, as they are broadly used to model a variety of natural phenomena. The dataset consists of trajectories of...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a pool of unlabeled data to construct the latent space.

The dataset used in the paper is a high-dimensional non-parametric importance sampling problem.

Auto-encoding variational Bayes

Unsupervised multiple-object tracking with a dynamical variational autoencoder

The dataset used in the paper is a toy benchmark problem, where the data is generated by uniform sampling from a compact symmetry group G and other independent factors of...