110 citations · 138 across the 14 of their papers we have counts for
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cs.LG2019
Improving VAE generations of multimodal data through data-dependent conditional priors
Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis
One of the major shortcomings of variational autoencoders is the inability to produce generations from the individual modalities of data originating from mixture distributions. Thi…
cs.LG2019
Sparse Learning for Variable Selection with Structures and Nonlinearities
Magda Gregorova
In this thesis we discuss machine learning methods performing automated variable selection for learning sparse predictive models. There are multiple reasons for promoting sparsity…