39 citations · 47 across the 3 of their papers we have counts for
13 papers
Informative Bayesian model selection for RR Lyrae star classifiers
F. Pérez-Galarce, K. Pichara, P. Huijse +2
Machine learning has achieved an important role in the automatic classification of variable stars, and several classifiers have been proposed over the last decade. These classifier…
Bayesian Reconstruction of Fourier Pairs
Felipe Tobar, Lerko Araya-Hernández, Pablo Huijse +1
In a number of data-driven applications such as detection of arrhythmia, interferometry or audio compression, observations are acquired indistinctly in the time or frequency domain…
MPCC: Matching Priors and Conditionals for Clustering
Nicolás Astorga, Pablo Huijse, Pavlos Protopapas +1
Clustering is a fundamental task in unsupervised learning that depends heavily on the data representation that is used. Deep generative models have appeared as a promising tool to…
Alert Classification for the ALeRCE Broker System: The Light Curve Classifier
P. Sánchez-Sáez, I. Reyes, C. Valenzuela +23
We present the first version of the ALeRCE (Automatic Learning for the Rapid Classification of Events) broker light curve classifier. ALeRCE is currently processing the Zwicky Tran…
Asteroids' Size Distribution and Colors from HiTS
J. Peña, C. Fuentes, F. Förster +8
We report the observations of solar system objects during the 2015 campaign of the High cadence Transient Survey (HiTS). We found 5740 bodies (mostly Main Belt asteroids), 1203 of…
An Information Theory Approach on Deciding Spectroscopic Follow Ups
Javiera Astudillo, Pavlos Protopapas, Karim Pichara +1
Classification and characterization of variable phenomena and transient phenomena are critical for astrophysics and cosmology. These objects are commonly studied using photometric…