4.5k citations · 4.5k across the 4 of their papers we have counts for
4 papers
Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications
Philip Matthias Winter, Sebastian Eder, Johannes Weissenböck +5
Artificial Intelligence is one of the fastest growing technologies of the 21st century and accompanies us in our daily lives when interacting with technical applications. However,…
Patch Refinement -- Localized 3D Object Detection
Johannes Lehner, Andreas Mitterecker, Thomas Adler +3
We introduce Patch Refinement a two-stage model for accurate 3D object detection and localization from point cloud data. Patch Refinement is composed of two independently trained V…
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Thomas Unterthiner, Bernhard Nessler, Calvin Seward +4
Generative adversarial networks (GANs) evolved into one of the most successful unsupervised techniques for generating realistic images. Even though it has recently been shown that…
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner +2
Generative Adversarial Networks (GANs) excel at creating realistic images with complex models for which maximum likelihood is infeasible. However, the convergence of GAN training h…