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Learning Branching Heuristics for Propositional Model Counting

Learning Branching Heuristics for Propositional Model Counting

7 July 2020
Pashootan Vaezipoor
Gil Lederman
Yuhuai Wu
Chris J. Maddison
Roger C. Grosse
S. Seshia
F. Bacchus
    LRM
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Papers citing "Learning Branching Heuristics for Propositional Model Counting"

3 / 3 papers shown
Title
NSNet: A General Neural Probabilistic Framework for Satisfiability
  Problems
NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
Zhaoyu Li
X. Si
BDL
NAI
17
10
0
07 Nov 2022
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
34
348
0
18 Feb 2021
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
Yuhuai Wu
M. Rabe
Wenda Li
Jimmy Ba
Roger C. Grosse
Christian Szegedy
AIMat
LRM
75
52
0
15 Jan 2021
1