23 citations · 23 across the 2 of their papers we have counts for
2 papers
cs.LG2020
Unsupervised Learning of Global Factors in Deep Generative Models
Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez
We present a novel deep generative model based on non i.i.d. variational autoencoders that captures global dependencies among observations in a fully unsupervised fashion. In contr…
cs.LG2019★ 23 cited
Deep Sequential Models for Suicidal Ideation from Multiple Source Data
Ignacio Peis, Pablo M. Olmos, Constanza Vera-Varela +4
This article presents a novel method for predicting suicidal ideation from Electronic Health Records (EHR) and Ecological Momentary Assessment (EMA) data using deep sequential mode…