48 citations · 106 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
Transformation Based Deep Anomaly Detection in Astronomical Images
Esteban Reyes, Pablo A. Estévez
In this work, we propose several enhancements to a geometric transformation based model for anomaly detection in images (GeoTranform). The model assumes that the anomaly class is u…
RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection
Nicolás I. Tapia, Pablo A. Estévez
The brain electrical activity presents several short events during sleep that can be observed as distinctive micro-structures in the electroencephalogram (EEG), such as sleep spind…
On the Information Plane of Autoencoders
Nicolás I. Tapia, Pablo A. Estévez
The training dynamics of hidden layers in deep learning are poorly understood in theory. Recently, the Information Plane (IP) was proposed to analyze them, which is based on the in…