3 citations · 5 across the 2 of their papers we have counts for
3 papers
stat.ML2019★ 3 cited
Importance Weighted Hierarchical Variational Inference
Artem Sobolev, Dmitry Vetrov
Variational Inference is a powerful tool in the Bayesian modeling toolkit, however, its effectiveness is determined by the expressivity of the utilized variational distributions in…
stat.ML2018★ 2 cited
Doubly Semi-Implicit Variational Inference
Dmitry Molchanov, Valery Kharitonov, Artem Sobolev +1
We extend the existing framework of semi-implicit variational inference (SIVI) and introduce doubly semi-implicit variational inference (DSIVI), a way to perform variational infere…
cs.LG2017
Probabilistic Adaptive Computation Time
Michael Figurnov, Artem Sobolev, Dmitry Vetrov
We present a probabilistic model with discrete latent variables that control the computation time in deep learning models such as ResNets and LSTMs. A prior on the latent variables…