25 citations · 49 across the 8 of their papers we have counts for
3 papers · 1 filter
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing
Daniel Siegismund, Mario Wieser, Stephan Heyse +1
Uncovering novel drug candidates for treating complex diseases remain one of the most challenging tasks in early discovery research. To tackle this challenge, biopharma research es…
Learning Extremal Representations with Deep Archetypal Analysis
Sebastian Mathias Keller, Maxim Samarin, Fabricio Arend Torres +2
Archetypes are typical population representatives in an extremal sense, where typicality is understood as the most extreme manifestation of a trait or feature. In linear feature sp…
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis
Adam Kortylewski, Mario Wieser, Andreas Morel-Forster +4
Computer vision tasks are difficult because of the large variability in the data that is induced by changes in light, background, partial occlusion as well as the varying pose, tex…