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Sparse Hashing for Scalable Approximate Model Counting: Theory and
  Practice

Sparse Hashing for Scalable Approximate Model Counting: Theory and Practice

Logic in Computer Science (LICS), 2020
30 April 2020
Kuldeep S. Meel
S. Akshay
ArXiv (abs)PDFHTML

Papers citing "Sparse Hashing for Scalable Approximate Model Counting: Theory and Practice"

8 / 8 papers shown
Systematic Parameter Decision in Approximate Model Counting
Systematic Parameter Decision in Approximate Model Counting
Jinping Lei
Toru Takisaka
Junqiang Peng
Mingyu Xiao
336
0
0
08 Apr 2025
Formally Certified Approximate Model Counting
Formally Certified Approximate Model Counting
Yong Kiam Tan
Jiong Yang
Mate Soos
Magnus O. Myreen
Kuldeep S. Meel
346
3
0
17 Jun 2024
Locally-Minimal Probabilistic Explanations
Locally-Minimal Probabilistic Explanations
Yacine Izza
Kuldeep S. Meel
Sasha Rubin
368
8
0
19 Dec 2023
Rounding Meets Approximate Model Counting
Rounding Meets Approximate Model CountingInternational Conference on Computer Aided Verification (CAV), 2023
Jiong Yang
Kuldeep S. Meel
195
11
0
16 May 2023
Projected Model Counting: Beyond Independent Support
Projected Model Counting: Beyond Independent Support
Jiong Yang
Supratik Chakraborty
Kuldeep S. Meel
233
4
0
18 Oct 2021
Arjun: An Efficient Independent Support Computation Technique and its
  Applications to Counting and Sampling
Arjun: An Efficient Independent Support Computation Technique and its Applications to Counting and Sampling
Mate Soos
Kuldeep S. Meel
228
23
0
18 Oct 2021
Partition Function Estimation: A Quantitative Study
Partition Function Estimation: A Quantitative StudyInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Durgesh Kumar Agrawal
Yash Pote
Kuldeep S. Meel
262
13
0
24 May 2021
Learning Branching Heuristics for Propositional Model Counting
Learning Branching Heuristics for Propositional Model Counting
Pashootan Vaezipoor
Gil Lederman
Yuhuai Wu
Chris J. Maddison
Roger C. Grosse
Sanjit A. Seshia
F. Bacchus
LRM
311
14
0
07 Jul 2020
1
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