Amortized Gaussian Process is a model that amortizes the computation of a Gaussian Process. With this model we can use autoencoder for time series with variable length and irregular sampling.
We present LGAd, a variational autoencoder for anomaly detection in time series. Anomaly detection is fundamental task in astroinformatics that could allows us to find new astronomical objects not observed in the past.
