Blogs on GANs » Lamarr Institute

00 Blog CyrillStachniss Cluster - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Autonomous robots for agriculture 4.0

PhenoRob , Prof. Dr. Cyrill Stachniss,

19. October 2022

Agriculture is fundamental to ensure our livelihood. Autonomous robots that can monitor, understand and act on fields have the potential to assist in sustainable agriculture 4.0....

00 Blog Ramses Warten - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

BlogResearch

Using GANs to predict how long we queue

Dr. Ramsés Sánchez,

09. February 2022

Estimating how long we wait for a service is key to improving it. Through GANs waiting times can be accurately estimated, with little to no assumptions about the actual service providers....

00 Blog biesner pw - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

BlogResearch

Generating passwords with deep learning

David Biesner,

13. October 2021

People usually do not set passwords at random, which makes systems vulnerable to attacks. In our research project, we are investigating deep learning models to generate new, more secure passwords and test IT security in companies....

00 Blog Kindermann GAN V2 - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

BlogBasics

Generative Adversarial Networks (GANs) for machine translation

Dr. Jörg Kindermann,

28. July 2021

GANs make it possible to generate new, domain-specific examples from large amounts of data alone, without the need for rules or other expert knowledge. In this article, we explain how GANs are used for translation....

00 Blog Kindermann VAE - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

BlogResearch

Generative neural models learn latent probability distributions

Dr. Jörg Kindermann,

16. June 2021

In this post, we explain the approach of generative neural models. These have achieved good results in application areas where hand-curated data for supervised learning is difficult or impossible to obtain....