1 citations · 3 across the 10 of their papers we have counts for
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Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
Anna Kuzina, Evgenii Egorov, Evgeny Burnaev
Automatic segmentation methods based on deep learning have recently demonstrated state-of-the-art performance, outperforming the ordinary methods. Nevertheless, these methods are i…
BooVAE: Boosting Approach for Continual Learning of VAE
Anna Kuzina, Evgenii Egorov, Evgeny Burnaev
Variational autoencoder (VAE) is a deep generative model for unsupervised learning, allowing to encode observations into the meaningful latent space. VAE is prone to catastrophic f…
The Implicit Metropolis-Hastings Algorithm
Kirill Neklyudov, Evgenii Egorov, Dmitry Vetrov
Recent works propose using the discriminator of a GAN to filter out unrealistic samples of the generator. We generalize these ideas by introducing the implicit Metropolis-Hastings…
Usage of multiple RTL features for Earthquake prediction
P. Proskura, A. Zaytsev, I. Braslavsky +2
We construct a classification model that predicts if an earthquake with the magnitude above a threshold will take place at a given location in a time range 30-180 days from a given…
MaxEntropy Pursuit Variational Inference
Evgenii Egorov, Kirill Neklydov, Ruslan Kostoev +1
One of the core problems in variational inference is a choice of approximate posterior distribution. It is crucial to trade-off between efficient inference with simple families as…