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2020 – today
- 2024
[j3]João Marques-Silva
, Xuanxiang Huang:
Explainability Is Not a Game. Commun. ACM 67(7): 66-75 (2024)- [j2]Xuanxiang Huang, João Marques-Silva:
On the failings of Shapley values for explainability. Int. J. Approx. Reason. 171: 109112 (2024) - [c9]Xuanxiang Huang, João Marques-Silva:
Updates on the Complexity of SHAP Scores. IJCAI 2024: 403-412 - [c8]Yacine Izza, Xuanxiang Huang, António Morgado, Jordi Planes, Alexey Ignatiev, João Marques-Silva:
Distance-Restricted Explanations: Theoretical Underpinnings & Efficient Implementation. KR 2024 - [i14]Olivier Letoffe, Xuanxiang Huang, João Marques-Silva:
On Correcting SHAP Scores. CoRR abs/2405.00076 (2024) - [i13]Yacine Izza, Xuanxiang Huang, António Morgado, Jordi Planes, Alexey Ignatiev, João Marques-Silva:
Distance-Restricted Explanations: Theoretical Underpinnings & Efficient Implementation. CoRR abs/2405.08297 (2024) - [i12]Olivier Letoffe, Xuanxiang Huang, Nicholas Asher, João Marques-Silva:
From SHAP Scores to Feature Importance Scores. CoRR abs/2405.11766 (2024) - [i11]Olivier Letoffe, Xuanxiang Huang, João Marques-Silva:
SHAP scores fail pervasively even when Lipschitz succeeds. CoRR abs/2412.13866 (2024) - 2023
- [b1]Xuanxiang Huang:
Recent advances in formal explainability. (Progrès récents en matière d'explicabilité formelle). Paul Sabatier University, Toulouse, France, 2023 - [j1]Yacine Izza, Xuanxiang Huang, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva:
On computing probabilistic abductive explanations. Int. J. Approx. Reason. 159: 108939 (2023) - [c7]Xuanxiang Huang, Yacine Izza, João Marques-Silva:
Solving Explainability Queries with Quantification: The Case of Feature Relevancy. AAAI 2023: 3996-4006 - [c6]Xuanxiang Huang, João Marques-Silva:
From Decision Trees to Explained Decision Sets. ECAI 2023: 1100-1108 - [c5]Xuanxiang Huang, Martin C. Cooper, António Morgado, Jordi Planes, João Marques-Silva:
Feature Necessity & Relevancy in ML Classifier Explanations. TACAS (1) 2023: 167-186 - [i10]Xuanxiang Huang, João Marques-Silva:
The Inadequacy of Shapley Values for Explainability. CoRR abs/2302.08160 (2023) - [i9]Xuanxiang Huang, João Marques-Silva:
From Robustness to Explainability and Back Again. CoRR abs/2306.03048 (2023) - [i8]João Marques-Silva, Xuanxiang Huang:
Explainability is NOT a Game. CoRR abs/2307.07514 (2023) - [i7]Xuanxiang Huang, João Marques-Silva:
A Refutation of Shapley Values for Explainability. CoRR abs/2309.03041 (2023) - [i6]Xuanxiang Huang, João Marques-Silva:
Refutation of Shapley Values for XAI - Additional Evidence. CoRR abs/2310.00416 (2023) - 2022
- [c4]Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva:
Tractable Explanations for d-DNNF Classifiers. AAAI 2022: 5719-5728 - [i5]Xuanxiang Huang, João Marques-Silva:
On Deciding Feature Membership in Explanations of SDD & Related Classifiers. CoRR abs/2202.07553 (2022) - [i4]Xuanxiang Huang, Martin C. Cooper, António Morgado, Jordi Planes, João Marques-Silva:
Feature Necessity & Relevancy in ML Classifier Explanations. CoRR abs/2210.15675 (2022) - [i3]Yacine Izza, Xuanxiang Huang, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva:
On Computing Probabilistic Abductive Explanations. CoRR abs/2212.05990 (2022) - 2021
- [c3]Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, João Marques-Silva:
On Efficiently Explaining Graph-Based Classifiers. KR 2021: 356-367 - [i2]Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, João Marques-Silva:
On Efficiently Explaining Graph-Based Classifiers. CoRR abs/2106.01350 (2021) - [i1]Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva:
Efficient Explanations for Knowledge Compilation Languages. CoRR abs/2107.01654 (2021) - 2020
- [c2]Xuanxiang Huang, Haipeng Che, Liangda Fang, Qingliang Chen, Quanlong Guan, Yuhui Deng, Kaile Su:
Dynamic Minimization of Bi-Kronecker Functional Decision Diagrams. ICCAD 2020: 131:1-131:9
2010 – 2019
- 2019
- [c1]Xuanxiang Huang, Kehang Fang, Liangda Fang, Qingliang Chen, Zhao-Rong Lai, Linfeng Wei:
Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions. AAAI 2019: 2867-2875
Coauthor Index
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