Differentiable Rule Induction from Raw Sequence Inputs
Kun Gao, Katsumi Inoue, Yongzhi Cao, Hanping Wang, Yang Feng
2/12/2026
No confident code implementation found for this paper.
No confident code implementation found for this paper.
No confident code match yet
We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.
No code implementations found yet.
Know of an implementation? Let us know in the comments below!
Neural Graph Generation from Graph Statistics
Personalized Representation from Personalized Generation
Imitation Learning from Vague Feedback
Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data
DyCAST: Learning Dynamic Causal Structure from Time Series
MaskPLAN: Masked Generative Layout Planning from Partial Input
@article{gao2026differentiable,
title = {Differentiable Rule Induction from Raw Sequence Inputs},
author = {Kun Gao and Katsumi Inoue and Yongzhi Cao and Hanping Wang and Yang Feng},
year = {2026},
url = {https://api.semanticscholar.org/CorpusID:5a044db970c8713b6fb577275e576060a3a5f7d1},
journal = {ICLR 2025 2025}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/5a044db970c8713b6fb577275e576060a3a5f7d1)