On the Sparsity of XORs in Approximate Model Counting-Reference-Cited by-同舟云学术

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On the Sparsity of XORs in Approximate Model Counting

Published:2020 Issue: Volume: Page:250-266
ISSN:0302-9743
Container-title:Theory and Applications of Satisfiability Testing – SAT 2020
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Author:

Agrawal Durgesh,Bhavishya ,Meel Kuldeep S.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-51825-7_18

Reference31 articles.

1. Achlioptas, D., Hammoudeh, Z., Theodoropoulos, P.: Fast and flexible probabilistic model counting. In: Beyersdorff, O., Wintersteiger, C.M. (eds.) SAT 2018. LNCS, vol. 10929, pp. 148–164. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94144-8_10

2. Achlioptas, D., Theodoropoulos, P.: Probabilistic model counting with short XORs. In: Gaspers, S., Walsh, T. (eds.) SAT 2017. LNCS, vol. 10491, pp. 3–19. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-66263-3_1

3. Asteris, M., Dimakis, A.G.: LDPC codes for discrete integration. Technical report, UT Austin (2016)

4. Baluta, T., Shen, S., Shinde, S., Meel, K.S., Saxena, P.: Quantitative verification of neural networks and its security applications. In: Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, pp. 1249–1264 (2019)

5. Biondi, F., Enescu, M.A., Heuser, A., Legay, A., Meel, K.S., Quilbeuf, J.: Scalable approximation of quantitative information flow in programs. In: VMCAI 2018. LNCS, vol. 10747, pp. 71–93. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-73721-8_4

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1. On Almost-Uniform Generation of SAT Solutions: The power of 3-wise independent hashing;Proceedings of the 37th Annual ACM/IEEE Symposium on Logic in Computer Science;2022-08-02

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