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07/13/2023
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
Explainable Artificial Intelligence (XAI) has received widespread intere...
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05/26/2023
GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations
Counterfactual explanations have been widely studied in explainability, ...
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05/19/2023
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
There is an emerging interest in generating robust counterfactual explan...
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02/09/2023
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions
One approach for interpreting black-box machine learning models is to fi...
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10/16/2022
CLEAR: Generative Counterfactual Explanations on Graphs
Counterfactual explanations promote explainability in machine learning m...
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07/06/2022
Robust Counterfactual Explanations for Tree-Based Ensembles
Counterfactual explanations inform ways to achieve a desired outcome fro...
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04/14/2022
Global Counterfactual Explanations: Investigations, Implementations and Improvements
Counterfactual explanations have been widely studied in explainability, ...
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10/30/2021
A Survey on the Robustness of Feature Importance and Counterfactual Explanations
There exist several methods that aim to address the crucial task of unde...
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05/15/2020
Reliable Local Explanations for Machine Listening
One way to analyse the behaviour of machine learning models is through l...
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04/21/2019
GAN-based Generation and Automatic Selection of Explanations for Neural Networks
One way to interpret trained deep neural networks (DNNs) is by inspectin...
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05/22/2018