no code implementations • 22 Dec 2020 • Jakob Drefs, Enrico Guiraud, Jörg Lücke
In general, our investigations highlight the importance of research on optimization methods for generative models to achieve performance improvements.
no code implementations • 27 Nov 2020 • Enrico Guiraud, Jakob Drefs, Jörg Lücke
Discrete latent variables are considered important for real world data, which has motivated research on Variational Autoencoders (VAEs) with discrete latents.
no code implementations • ICLR 2018 • Enrico Guiraud, Jakob Drefs, Joerg Luecke
In general we believe that, with the link established here, standard as well as recent results in the field of evolutionary optimization can be leveraged to address the difficult problem of parameter optimization in generative models.