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cs.LG2022★ 2 cited
A Variational Autoencoder for Heterogeneous Temporal and Longitudinal Data
Mine Öğretir, Siddharth Ramchandran, Dimitrios Papatheodorou +1
The variational autoencoder (VAE) is a popular deep latent variable model used to analyse high-dimensional datasets by learning a low-dimensional latent representation of the data.…
stat.ML2022★ 4 cited
Learning Conditional Variational Autoencoders with Missing Covariates
Siddharth Ramchandran, Gleb Tikhonov, Otto Lönnroth +2
Conditional variational autoencoders (CVAEs) are versatile deep generative models that extend the standard VAE framework by conditioning the generative model with auxiliary covaria…