ukuhl
Hi there! I am a cognitive scientist by training, pondering cognition, explainability, decisions, and machine learning @HammerLabML.
Bielefeld University
Pinned Repositories
ceml
CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
DirectionalAlienZoo
Code, user data, and evaluation scripts for the Plausible Alien Zoo study
GenGapCHIRA2024
This repository contains the data and experimental code accompanying the paper Lüdemann, R., Schulz, A., & Kuhl, U. (2024). Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images. 8th International Conference on Computer-Human Interaction Research and Applications, CHIRA 2024, Porto, Portugal.(Accepted)
imageCheck
IntroAlienZoo
Introducing the Alien Zoo approach: An experimental framework for evaluating counterfactual explanations for ML
itsml
lime
Lime: Explaining the predictions of any machine learning classifier
lime-experiments
Code for all experiments.
PlausibleAlienZoo
Code, user data, and evaluation scripts for the Plausible Alien Zoo study
ukuhl.github.io
ukuhl's Repositories
ukuhl/IntroAlienZoo
Introducing the Alien Zoo approach: An experimental framework for evaluating counterfactual explanations for ML
ukuhl/PlausibleAlienZoo
Code, user data, and evaluation scripts for the Plausible Alien Zoo study
ukuhl/ceml
CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
ukuhl/DirectionalAlienZoo
Code, user data, and evaluation scripts for the Plausible Alien Zoo study
ukuhl/GenGapCHIRA2024
This repository contains the data and experimental code accompanying the paper Lüdemann, R., Schulz, A., & Kuhl, U. (2024). Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images. 8th International Conference on Computer-Human Interaction Research and Applications, CHIRA 2024, Porto, Portugal.(Accepted)
ukuhl/imageCheck
ukuhl/itsml
ukuhl/lime
Lime: Explaining the predictions of any machine learning classifier
ukuhl/lime-experiments
Code for all experiments.
ukuhl/ukuhl.github.io