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PEGP-VAE dataset
The dataset consists of 100 video sequences of a micro-particle in a 2-dimensional space. Each video sequence has a duration of 30 µs with one frame per µs. -
Learning minimal representations of stochastic processes with variational aut...
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... -
Importance Sampling with Variational Autoencoders
The dataset used in the paper is a high-dimensional non-parametric importance sampling problem. -
Synthetic Data Generation for Variational Autoencoders
Synthetic swaption cubes generated from existing ones -
Interpolation of Missing Swaption Volatility Data using Variational Autoencoders
Daily (Bachelier model implied) swaption volatility cubes of European LIBOR swaptions -
VAEs for Mobile Edge Networks
The dataset used in the paper is a Variational Autoencoders (VAEs) dataset, which includes various VAEs architectures and their applications in mobile edge networks. -
Auto-encoding variational Bayes
Auto-encoding variational Bayes -
Toy Benchmark Problem
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...