papers
Publications (7)
cs.CV2011
Modelling Distributed Shape Priors by Gibbs Random Fields of Second Order
Boris Flach, Dmitrij Schlesinger
stat.ML2018
Feed-forward Uncertainty Propagation in Belief and Neural Networks
Alexander Shekhovtsov, Boris Flach, Michal Busta
cs.LG2018
Normalization of Neural Networks using Analytic Variance Propagation
Alexander Shekhovtsov, Boris Flach
cs.LG2017
Generative learning for deep networks
Boris Flach, Alexander Shekhovtsov, Ondrej Fikar
cs.AI2014
M-best solutions for a class of fuzzy constraint satisfaction problems
Michail Schlesinger, Boris Flach, Evgeniy Vodolazskiy
cs.LG2013
A class of random fields on complete graphs with tractable partition function
Boris Flach
cs.LG2018
Stochastic Normalizations as Bayesian Learning
Alexander Shekhovtsov, Boris Flach