About

GENO provides customized solvers for optimization problems. It has been developed by the GENO team:

It has been supported by a grant from the German Research Foundation (DFG).

If you use GENO, please cite our paper:

Soeren Laue, Matthias Mitterreiter, and Joachim Giesen.
GENO -- GENeric Optimization for Classical Machine Learning, NeurIPS 2019.
[PDF] [Bibtex]

Soeren Laue
Institut fuer Informatik
Ernst-Abbe-Platz 2
07743 Jena
Germany

If there is any problem with this service, please write an email to soeren.laue@geno-project.org.

The GENO website has been created by Peter Conrad.