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Found 4 papers, 2 papers with code
Autoencoding Time Series for Visualisation
We present an algorithm for the visualisation of time series.
Model-Coupled Autoencoder for Time Series Visualisation
We present an approach for the visualisation of a set of time series that combines an echo state network with an autoencoder.
Mixed Variational Inference
However, they rely on a closed form DKL in order to update the variational parameters.
Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables
Variational methods are employed in situations where exact Bayesian inference becomes intractable due to the difficulty in performing certain integrals.
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