6 citations · 9 across the 6 of their papers we have counts for
4 papers · 1 filter
Counterfactual Training: Teaching Models Plausible and Actionable Explanations
Patrick Altmeyer, Aleksander Buszydlik, Arie van Deursen +1
We propose a novel training regime termed counterfactual training that leverages counterfactual explanations to increase the explanatory capacity of models. Counterfactual explanat…
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals
Patrick Altmeyer, Mojtaba Farmanbar, Arie van Deursen +1
Counterfactual explanations offer an intuitive and straightforward way to explain black-box models and offer algorithmic recourse to individuals. To address the need for plausible…
Endogenous Macrodynamics in Algorithmic Recourse
Patrick Altmeyer, Giovan Angela, Aleksander Buszydlik +3
Existing work on Counterfactual Explanations (CE) and Algorithmic Recourse (AR) has largely focused on single individuals in a static environment: given some estimated model, the g…
Explaining Black-Box Models through Counterfactuals
Patrick Altmeyer, Arie van Deursen, Cynthia C. S. Liem
We present CounterfactualExplanations.jl: a package for generating Counterfactual Explanations (CE) and Algorithmic Recourse (AR) for black-box models in Julia. CE explain how inpu…