Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Bedychaj, Andrzej"'
Autor:
Sendera, Marcin, Tabor, Jacek, Nowak, Aleksandra, Bedychaj, Andrzej, Patacchiola, Massimiliano, Trzciński, Tomasz, Spurek, Przemysław, Zięba, Maciej
Gaussian Processes (GPs) have been widely used in machine learning to model distributions over functions, with applications including multi-modal regression, time-series prediction, and few-shot learning. GPs are particularly useful in the last appli
Externí odkaz:
http://arxiv.org/abs/2110.13561
One of the main arguments behind studying disentangled representations is the assumption that they can be easily reused in different tasks. At the same time finding a joint, adaptable representation of data is one of the key challenges in the multi-t
Externí odkaz:
http://arxiv.org/abs/2110.03498
Independent Component Analysis (ICA) aims to find a coordinate system in which the components of the data are independent. In this paper we construct a new nonlinear ICA model, called WICA, which obtains better and more stable results than other algo
Externí odkaz:
http://arxiv.org/abs/2001.04147
Independent Component Analysis (ICA) - one of the basic tools in data analysis - aims to find a coordinate system in which the components of the data are independent. In this paper we present Multiple-weighted Independent Component Analysis (MWeICA)
Externí odkaz:
http://arxiv.org/abs/1906.00028
One of the main arguments behind studying disentangled representations is the assumption that they can be easily reused in different tasks. At the same time finding a joint, adaptable representation of data is one of the key challenges in the multi-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7008712dee788b6704153179e91b9d2
http://arxiv.org/abs/2110.03498
http://arxiv.org/abs/2110.03498
Autor:
SPUREK, PRZEMYSŁAW, ROLA, PRZEMYSŁAW, TABOR, JACEK, CZECHOWSKI, ALEKSANDER, BEDYCHAJ, ANDRZEJ
Publikováno v:
Schedae Informaticae; 2019, Vol. 28, p25-47, 23p
