Mean-Field Variational Inference for Gradient Matching with Gaussian Processes

Autor: Gorbach, Nico S., Bauer, Stefan, Buhmann, Joachim M.

Gradient matching with Gaussian processes is a promising tool for learning parameters of ordinary differential equations (ODE's). The essence of gradient matching is to model the prior over state variables as a Gaussian process which implies that the

Externí odkaz: http://arxiv.org/abs/1610.06949

Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs

Autor: Wenk, Philippe, Gotovos, Alkis, Bauer, Stefan, Gorbach, Nico S., Krause, Andreas, Buhmann, Joachim M.

Publikováno v: Proceedings of Machine Learning Research, 89
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019)

Proceedings of Machine Learning Research, 89
ISSN:2640-3498
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::867e8106c9e5a6778114091a89b22559

Hierarchical information-based clustering for connectivity-based cortex parcellation.

Autor: Gorbach NS; Cortical Networks Group, Max Planck Institute for Neurological Research Cologne, Germany., Schütte C, Melzer C, Goldau M, Sujazow O, Jitsev J, Douglas T, Tittgemeyer M

Publikováno v: Frontiers in neuroinformatics [Front Neuroinform] 2011 Sep 23; Vol. 5, pp. 18. Date of Electronic Publication: 2011 Sep 23 (Print Publication: 2011).