6 citations · 13 across the 7 of their papers we have counts for
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cs.LG2023
Adaptive Compression of the Latent Space in Variational Autoencoders
Gabriela Sejnova, Michal Vavrecka, Karla Stepanova
Variational Autoencoders (VAEs) are powerful generative models that have been widely used in various fields, including image and text generation. However, one of the known challeng…
cs.RO2023★ 1 cited
How language of interaction affects the user perception of a robot
Barbara Sienkiewicz, Gabriela Sejnova, Paul Gajewski +2
Spoken language is the most natural way for a human to communicate with a robot. It may seem intuitive that a robot should communicate with users in their native language. However,…