An Empirical Evaluation of Rule Extraction from Recurrent Neural
Networks

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An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks

29 September 2017

Alexander Ororbia

Masashi Sugiyama

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Papers citing "An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks"

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Title
Analyzing constrained LLM through PDFA-learning Matías Carrasco Franz Mayr S. Yovine Johny Kidd Martín Iturbide Juan da Silva Alejo Garat 65 0 0 12 Jun 2024
On the Relationship Between RNN Hidden State Vectors and Semantic Ground Truth Edi Muškardin Martin Tappler Ingo Pill B. Aichernig Thomas Pock 38 0 0 29 Jun 2023
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions Cheng Wang Carolin (Haas) Lawrence Mathias Niepert 69 3 0 10 Dec 2022
Extracting Finite Automata from RNNs Using State Merging William Merrill Nikolaos Tsilivis 85 15 0 28 Jan 2022
Minimum Description Length Recurrent Neural Networks Nur Lan Michal Geyer Emmanuel Chemla Roni Katzir 79 13 0 31 Oct 2021
Self-Supervised Learning to Prove Equivalence Between Straight-Line Programs via Rewrite Rules Steve Kommrusch Monperrus Martin L. Pouchet 67 9 0 22 Sep 2021
Proving Equivalence Between Complex Expressions Using Graph-to-Sequence Neural Models Steven J Kommrusch Théo Barollet L. Pouchet 35 5 0 01 Jun 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 153 198 0 15 May 2021
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs Cheng Wang Carolin (Haas) Lawrence Mathias Niepert UQCV 58 10 0 24 Nov 2020
Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model Steve Kommrusch Théo Barollet L. Pouchet 119 6 0 17 Feb 2020
Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture Ikram Chraibi Kaadoud N. Rougier F. Alexandre 18 22 0 06 Dec 2019
Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction Guoliang Dong Jingyi Wang Jun Sun Yang Zhang Xinyu Wang Ting Dai J. Dong Xingen Wang FaML 33 3 0 22 Sep 2019
Measurable Counterfactual Local Explanations for Any Classifier Adam White Artur Garcez FAtt 73 98 0 08 Aug 2019
Learning Causal State Representations of Partially Observable Environments Amy Zhang Zachary Chase Lipton Luis Villaseñor-Pineda Kamyar Azizzadenesheli Anima Anandkumar Laurent Itti Joelle Pineau Tommaso Furlanello CML 115 51 0 25 Jun 2019
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning Artur Garcez Marco Gori Luís C. Lamb Luciano Serafini Michael Spranger Son N. Tran NAI 122 296 0 15 May 2019
State-Regularized Recurrent Neural Networks Cheng Wang Mathias Niepert 70 40 0 25 Jan 2019
Learning with Interpretable Structure from Gated RNN Bo-Jian Hou Zhi Zhou AI4CE 75 70 0 25 Oct 2018
A Comparative Study of Rule Extraction for Recurrent Neural Networks Qinglong Wang Kaixuan Zhang Alexander Ororbia Masashi Sugiyama Xue Liu C. Lee Giles 80 11 0 16 Jan 2018