23 citations · 31 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 23 cited
OmniXAI: A Library for Explainable AI
Wenzhuo Yang, Hung Le, Tanmay Laud +2
We introduce OmniXAI (short for Omni eXplainable AI), an open-source Python library of eXplainable AI (XAI), which offers omni-way explainable AI capabilities and various interpret…
cs.AI2022★ 8 cited
MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation
Wenzhuo Yang, Jia Li, Caiming Xiong +1
Counterfactual explanation is an important Explainable AI technique to explain machine learning predictions. Despite being studied actively, existing optimization-based methods oft…