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Logic for Explainable AI


May 09, 2023
Adnan Darwiche

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* To appear in the 38th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 2023 

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A New Class of Explanations for Classifiers with Non-Binary Features


Apr 28, 2023
Chunxi Ji, Adnan Darwiche

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An Algorithm and Complexity Results for Causal Unit Selection


Feb 28, 2023
Haiying Huang, Adnan Darwiche

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* To be published in the 2nd Conference on Causal Learning and Reasoning (CLeaR 2023) 

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On the Complexity of Counterfactual Reasoning


Nov 24, 2022
Yunqiu Han, Yizuo Chen, Adnan Darwiche

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* An earlier version of this paper appeared in NeurIPS 2022 workshop, "A causal view on dynamical systems." 

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On the Computation of Necessary and Sufficient Explanations


Mar 20, 2022
Adnan Darwiche, Chunxi Ji

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* To appear in the proceedings of AAAI 2022 

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Tractable Boolean and Arithmetic Circuits


Feb 07, 2022
Adnan Darwiche

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* An earlier version of this article appeared in the following edited book. Pascal Hitzler and Md Kamruzzaman Sarker, editors. Neuro-Symbolic Artificial Intelligence: The State of the Art, volume 342 of Frontiers in Artificial Intelligence and Applications. IOS Press, 2021 

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Causal Inference Using Tractable Circuits


Feb 07, 2022
Adnan Darwiche

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* Appeared in Why-21 workshop of NeurIPS 2021 (Causal Inference & Machine Learning: Why now?) 

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On Quantifying Literals in Boolean Logic and Its Applications to Explainable AI


Aug 23, 2021
Adnan Darwiche, Pierre Marquis

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* To be published in Journal of Artificial Intelligence Research (JAIR) with minor modifications 

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On Symbolically Encoding the Behavior of Random Forests


Jul 03, 2020
Arthur Choi, Andy Shih, Anchal Goyanka, Adnan Darwiche

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* Presented at the 3rd Workshop on Formal Methods for ML-Enabled Autonomous Systems (FoMLAS), 2020 

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A New Perspective on Learning Context-Specific Independence


Jun 12, 2020
Yujia Shen, Arthur Choi, Adnan Darwiche

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