Matthias
Jakobs

Research Focus:
Trustworthy ML

What problems are you currently working on?

  1. Providing guarantees in theory and application for explainability methods using Shapley values
  2. Combining explainability models with Bayesian Neural Networks (BNN)

What are you particularly interested in?
Shining a light into the decision-making process of black-box models giving users and experts confidence in the decisions produced by Neural Networks