4 citations · 4 across the 1 of their papers we have counts for
3 papers
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…
Longitudinal Variational Autoencoder
Siddharth Ramchandran, Gleb Tikhonov, Kalle Kujanpää +2
Longitudinal datasets measured repeatedly over time from individual subjects, arise in many biomedical, psychological, social, and other studies. A common approach to analyse high-…
Latent Gaussian process with composite likelihoods and numerical quadrature
Siddharth Ramchandran, Miika Koskinen, Harri Lähdesmäki
Clinical patient records are an example of high-dimensional data that is typically collected from disparate sources and comprises of multiple likelihoods with noisy as well as miss…