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Publication search results
found 9 matches
- 2024
- Kangjia He, Li Liu, Youmin Zhang, Ye Wang, Qun Liu, Guoyin Wang:
Learning Counterfactual Explanation of Graph Neural Networks via Generative Flow Network. IEEE Trans. Artif. Intell. 5(9): 4607-4619 (2024) - 2023
- Tehseen Zia, Zeeshan Nisar, Shakeeb Murtaza:
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks. CoRR abs/2301.08939 (2023) - Yuchen Ma, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Counterfactual Fairness for Predictions using Generative Adversarial Networks. CoRR abs/2310.17687 (2023) - 2022
- Sameer Ambekar, Matteo Tafuro, Ankit Ankit, Diego van der Mast, Mark Alence, Christos Athanasiadis:
SKDCGN: Source-free Knowledge Distillation of Counterfactual Generative Networks Using cGANs. ECCV Workshops (4) 2022: 679-693 - Sameer Ambekar, Matteo Tafuro, Ankit Ankit, Diego van der Mast, Mark Alence, Christos Athanasiadis:
SKDCGN: Source-free Knowledge Distillation of Counterfactual Generative Networks using cGANs. CoRR abs/2208.04226 (2022) - 2021
- Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu:
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation. SIGKDD Explor. 23(1): 59-68 (2021) - Axel Sauer, Andreas Geiger:
Counterfactual Generative Networks. ICLR 2021 - Axel Sauer, Andreas Geiger:
Counterfactual Generative Networks. CoRR abs/2101.06046 (2021) - Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu:
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation. CoRR abs/2101.06930 (2021)
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