3 papers · 1 filter
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…
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…
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…