 | Differentiable Rule Induction from Raw Sequence Inputs. Kun Gao, Katsumi Inoue, Yongzhi Cao, Hanpin Wang, Feng Yang (2025). (ICLR-25). (Code) (Paper)
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| A differentiable first-order rule learner for inductive logic programming (Abstract Reprint). Kun Gao, Katsumi Inoue, Yongzhi Cao, and Hanpin Wang (2024). IJCAI-24. (Abstract) |
 | A differentiable first-order rule learner for inductive logic programming. Kun Gao, Katsumi Inoue, Yongzhi Cao, and Hanpin Wang (2024). Artificial Intelligence. (Code) (Paper)
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| Research on Inductive Logic Programming with Neuro-Symbolic Methods. Kun Gao (2023). Doctoral dissertation, Peking University. (Abstract) |
 | Learning First-Order Rules with Differentiable Logic Program Semantics. Kun Gao, Katsumi Inoue, Yongzhi Cao, and Hanpin Wang (2022). IJCAI-ECAI 2022. (Long Oral Presentation, top 3.5%) (Video) (Code) (Slide) (Paper) |
 | Learning from interpretation transition using differentiable logic programming semantics. Kun Gao, Hanpin Wang, Yongzhi Cao, and Katsumi Inoue (2022). Machine Learning. (Video) (Code) (Slide) (Paper) |
