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cs.LG2018
Embedding-reparameterization procedure for manifold-valued latent variables in generative models
Eugene Golikov, Maksim Kretov
Conventional prior for Variational Auto-Encoder (VAE) is a Gaussian distribution. Recent works demonstrated that choice of prior distribution affects learning capacity of VAE model…
cs.LG2017
Using stochastic computation graphs formalism for optimization of sequence-to-sequence model
Eugene Golikov, Vlad Zhukov, Maksim Kretov
Variety of machine learning problems can be formulated as an optimization task for some (surrogate) loss function. Calculation of loss function can be viewed in terms of stochastic…