Verifying and Interpreting Neural Networks Using Finite Automata

Author:

Sälzer MarcoORCID,Alsmann EricORCID,Bruse FlorianORCID,Lange MartinORCID

Publisher

Springer Nature Switzerland

Reference26 articles.

1. Ayache, S., Eyraud, R., Goudian, N.: Explaining black boxes on sequential data using weighted automata. In: Proceedings of the 14th International Conference on Grammatical Inference, ICGI’18. Proceedings of Machine Learning Research, vol. 93, pp. 81–103. PMLR (2018). http://proceedings.mlr.press/v93/ayache19a.html

2. Barceló, P., Monet, M., Pérez, J., Subercaseaux, B.: Model interpretability through the lens of computational complexity. In: Proceedings of the 33rd Annual Conference on Advances in Neural Information Processing Systems, NeurIPS 2020 (2020). https://proceedings.neurips.cc/paper/2020/hash/b1adda14824f50ef24ff1c05bb66faf3-Abstract.html

3. Berstel, J.: Transductions and Context-Free Languages. Teubner, Stuttgart (1979)

4. Boigelot, B., Jodogne, S., Wolper, P.: An effective decision procedure for linear arithmetic over the integers and reals. ACM Trans. Comput. Log. 6(3), 614–633 (2005). https://doi.org/10.1145/1071596.1071601

5. Lecture Notes in Computer Science;B Boigelot,1998

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