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Alexander Shekhovtsov

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Symmetric Equilibrium Learning of VAEs

Jul 19, 2023
Boris Flach, Dmitrij Schlesinger, Alexander Shekhovtsov

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Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators

Oct 15, 2021
Alexander Shekhovtsov

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VAE Approximation Error: ELBO and Conditional Independence

Feb 18, 2021
Dmitrij Schlesinger, Alexander Shekhovtsov, Boris Flach

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Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks

Jun 11, 2020
Viktor Yanush, Alexander Shekhovtsov, Dmitry Molchanov, Dmitry Vetrov

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Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks

Jun 04, 2020
Alexander Shekhovtsov, Viktor Yanush, Boris Flach

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MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models

Apr 16, 2020
Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy

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Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization

Apr 16, 2020
Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy

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Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems

Mar 13, 2020
Patrick Knöbelreiter, Christian Sormann, Alexander Shekhovtsov, Friedrich Fraundorfer, Thomas Pock

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Stochastic Normalizations as Bayesian Learning

Nov 01, 2018
Alexander Shekhovtsov, Boris Flach

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