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pro vyhledávání: '"Potaptchik, Peter"'
Score-matching generative models have proven successful at sampling from complex high-dimensional data distributions. In many applications, this distribution is believed to concentrate on a much lower $d$-dimensional manifold embedded into $D$-dimens
Externí odkaz:
http://arxiv.org/abs/2410.09046
Autor:
Kapuśniak, Kacper, Potaptchik, Peter, Reu, Teodora, Zhang, Leo, Tong, Alexander, Bronstein, Michael, Bose, Avishek Joey, Di Giovanni, Francesco
Matching objectives underpin the success of modern generative models and rely on constructing conditional paths that transform a source distribution into a target distribution. Despite being a fundamental building block, conditional paths have been d
Externí odkaz:
http://arxiv.org/abs/2405.14780
We show the following generalizations of the de Finetti--Hewitt--Savage theorem: Given an exchangeable sequence of random elements, the sequence is conditionally i.i.d. if and only if each random element admits a regular conditional distribution give
Externí odkaz:
http://arxiv.org/abs/2312.16349