91 citations · 182 across the 11 of their papers we have counts for
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cs.LG2019★ 2 cited
Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks
Patrik Reizinger, Bálint Gyires-Tóth
The aim of this paper is to introduce two widely applicable regularization methods based on the direct modification of weight matrices. The first method, Weight Reinitialization, u…
stat.ML2019
Distance Assessment and Hypothesis Testing of High-Dimensional Samples using Variational Autoencoders
Marco Henrique de Almeida Inácio, Rafael Izbicki, Bálint Gyires-Tóth
Given two distinct datasets, an important question is if they have arisen from the the same data generating function or alternatively how their data generating functions diverge fr…