1 citations · 1 across the 3 of their papers we have counts for
3 papers
Neural Architecture Design and Robustness: A Dataset
Steffen Jung, Jovita Lukasik, Margret Keuper
Deep learning models have proven to be successful in a wide range of machine learning tasks. Yet, they are often highly sensitive to perturbations on the input data which can lead…
Happy People -- Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models
Steffen Jung, Jan Christian Schwedhelm, Claudia Schillings +1
In recent years, optimization in the learned latent space of deep generative models has been successfully applied to black-box optimization problems such as drug design, image gene…
Optimizing Edge Detection for Image Segmentation with Multicut Penalties
Steffen Jung, Sebastian Ziegler, Amirhossein Kardoost +1
The Minimum Cost Multicut Problem (MP) is a popular way for obtaining a graph decomposition by optimizing binary edge labels over edge costs. While the formulation of a MP from ind…