During the last couple of years, astronomy has become a data-driven science. We have evolved from the Megabyte to the Gigabyte and to the Terabyte regime in less than a decade. Thanks to the special characteristics of the skies in Chile (low humidity, high peaks and plains, low light pollution, and large number of clear nights), most of the major observatories are being installed here. Survey telescopes, such as the Large Synoptic Survey Telescope (LSST), scan a large area of the sky in order to observe a significant amount of objects, including galaxies, stars, and asteroids, among others. We are applying prediction models over variable astronomical objects in order to characterize them and detect new unknown sources never seen before. We are applying different neural network architectures for classification and novelty detection of light curves and sequences of images.