196 citations · 201 across the 4 of their papers we have counts for
5 papers
Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories
Manuel Pérez-Carrasco, Guillermo Cabrera-Vives, Lorena Hernández-García +8
With the increasing volume of astronomical data generated by modern survey telescopes, automated pipelines and machine learning techniques have become crucial for analyzing and ext…
Multi-scale stamps for real-time classification of alert streams
Ignacio Reyes-Jainaga, Francisco Förster, Alejandra M. Muñoz Arancibia +15
In recent years, automatic classifiers of image cutouts (also called "stamps") have shown to be key for fast supernova discovery. The Vera C. Rubin Observatory will distribute abou…
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…
The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker
F. Förster, G. Cabrera-Vives, E. Castillo-Navarrete +37
We introduce the Automatic Learning for the Rapid Classification of Events (ALeRCE) broker, an astronomical alert broker designed to provide a rapid and self--consistent classifica…
Matching Embeddings for Domain Adaptation
Manuel Pérez-Carrasco, Guillermo Cabrera-Vives, Pavlos Protopapas +2
In this work we address the problem of transferring knowledge obtained from a vast annotated source domain to a low labeled target domain. We propose Adversarial Variational Domain…