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07/19/2023
Symmetric Equilibrium Learning of VAEs
We view variational autoencoders (VAE) as decoder-encoder pairs, which m...
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02/18/2021
VAE Approximation Error: ELBO and Conditional Independence
The importance of Variational Autoencoders reaches far beyond standalone...
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06/04/2020
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks
In networks with binary activations and or binary weights the training b...
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11/01/2018
Stochastic Normalizations as Bayesian Learning
In this work we investigate the reasons why Batch Normalization (BN) imp...
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03/28/2018
Feed-forward Uncertainty Propagation in Belief and Neural Networks
We propose a feed-forward inference method applicable to belief and neur...
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03/28/2018
Normalization of Neural Networks using Analytic Variance Propagation
We address the problem of estimating statistics of hidden units in a neu...
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09/25/2017
Generative learning for deep networks
Learning, taking into account full distribution of the data, referred to...
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07/23/2014
M-best solutions for a class of fuzzy constraint satisfaction problems
The article considers one of the possible generalizations of constraint ...
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12/10/2012
A class of random fields on complete graphs with tractable partition function
The aim of this short note is to draw attention to a method by which the...
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07/14/2011