A consensus-driven probabilistic approach generates robust counterfactual explanations by modeling data under varying classifier agreement levels using conditional normalizing flows.
Artificial Intelligence336, 104218 (2024)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Probabilistic Consensus-Driven Approach for Robust Counterfactual Explanations
A consensus-driven probabilistic approach generates robust counterfactual explanations by modeling data under varying classifier agreement levels using conditional normalizing flows.