Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Perov, Yura N"'
Autor:
Perov, Yura N
This thesis describes work on two applications of probabilistic programming: the learning of probabilistic program code given specifications, in particular program code of one-dimensional samplers; and the facilitation of sequential Monte Carlo infer
Externí odkaz:
http://arxiv.org/abs/1606.00075
Autor:
Perov, Yura N
This Bachelor's thesis, written in Russian, is devoted to a relatively new direction in the field of machine learning and artificial intelligence, namely probabilistic programming. The thesis gives a brief overview to the already existing probabilist
Externí odkaz:
http://arxiv.org/abs/1601.07224
Most of Markov Chain Monte Carlo (MCMC) and sequential Monte Carlo (SMC) algorithms in existing probabilistic programming systems suboptimally use only model priors as proposal distributions. In this work, we describe an approach for training a discr
Externí odkaz:
http://arxiv.org/abs/1512.04387
Autor:
Perov, Yura N., Wood, Frank D.
We develop a technique for generalising from data in which models are samplers represented as program text. We establish encouraging empirical results that suggest that Markov chain Monte Carlo probabilistic programming inference techniques coupled w
Externí odkaz:
http://arxiv.org/abs/1407.2646
The idea of computer vision as the Bayesian inverse problem to computer graphics has a long history and an appealing elegance, but it has proved difficult to directly implement. Instead, most vision tasks are approached via complex bottom-up processi
Externí odkaz:
http://arxiv.org/abs/1307.0060
Autor:
Moeckel, Rico, Perov, Yura N, Nguyen, Anh The, Vespignani, Massimo, Bonardi, Stéphane, Pouya, Soha, Sproewitz, Alexander, van den Kieboom, Jesse, Wilhelm, Frédéric, Ijspeert, Auke Jan
Publikováno v:
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3265-3272
STARTPAGE=3265;ENDPAGE=3272;TITLE=IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
STARTPAGE=3265;ENDPAGE=3272;TITLE=IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::1208f960382a4d61fa39701db27f8083
https://cris.maastrichtuniversity.nl/en/publications/d2ae31a5-6226-4d8d-89c7-62b60babe045
https://cris.maastrichtuniversity.nl/en/publications/d2ae31a5-6226-4d8d-89c7-62b60babe045