Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST Dataset.

Will Taylor-Melanson Zahra Sadeghi Stan Matwin

Published in: CoRR (2024)

Keyphrases

causal reasoning
bayesian networks
causal inference
generative model
data driven
benchmark datasets
inference process
probabilistic inference
causal theories
markov logic networks
training dataset
database
case study
data sets
probabilistic reasoning
bayesian network classifiers
unsupervised learning