Skip to content

CedricTravelletti/MESLAS

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MESLAS: Multivariate Excursion Set Learning by Adaptive Sampling

The MESLAS package provides functionalities for simulation of multivariate gaussian random fields, as well as adaptive sampling startegies to learn excursion sets thereof.

It originated as part of a collaboration between NTNU Trondheim and University of Bern that aimed at developing methods for identification of excursion sets of vector-valued random fields for applications in autonomous ocean sampling. More information may be found in the resulting article.

The package documentation and more details may be found on the Package Website.

Cédric Travelletti gratefully acknowledges funding from the Swiss National Science Fundation (SNF) through project no. 178858.

About

Learning Excursion Sets of Vector-valued Gaussian Random Fields

Topics

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages