About

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

• Soeren Laue
• Matthias Mitterreiter
• Mark Blacher
• Joachim Giesen

If you use GENO, please cite our papers:

Soeren Laue, Mark Blacher, and Joachim Giesen.
Optimization for Classical Machine Learning Problems on the GPU, AAAI 2022.
[PDF] [Bibtex]

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

It has been supported under grant LA 2971/1-1 from the German Research Foundation (DFG).

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

Soeren Laue
TU Kaiserslautern
Dept. of Computer Science
Building 48, Room 655
Kaiserslautern, Germany

The GENO website has been created by Peter Conrad.