Zobrazeno 1 - 8
of 8
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
Autor:
Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022.The 236 full
Autor:
Davide Ciucci, Inés Couso, Jesús Medina, Dominik Ślęzak, Davide Petturiti, Bernadette Bouchon-Meunier, Ronald R. Yager
This two-volume set (CCIS 1601-1602) constitutes the proceedings of the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2021, held in Milan, Italy, in July 2022. The 124 papers w