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Learning to Reason: Leveraging Neural Networks for Approximate DNF
  Counting

Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting

4 April 2019
Ralph Abboud
.Ismail .Ilkan Ceylan
Thomas Lukasiewicz
ArXivPDFHTML

Papers citing "Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting"

4 / 4 papers shown
Title
A Novel Neural-symbolic System under Statistical Relational Learning
A Novel Neural-symbolic System under Statistical Relational Learning
Dongran Yu
Xueyan Liu
Shirui Pan
Anchen Li
Bo Yang
AI4CE
NAI
19
1
0
16 Sep 2023
Graph Neural Networks for Propositional Model Counting
Graph Neural Networks for Propositional Model Counting
Gaia Saveri
Luca Bortolussi
NAI
LRM
23
2
0
09 May 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
37
352
0
18 Feb 2021
PRover: Proof Generation for Interpretable Reasoning over Rules
PRover: Proof Generation for Interpretable Reasoning over Rules
Swarnadeep Saha
Sayan Ghosh
Shashank Srivastava
Joey Tianyi Zhou
ReLM
LRM
36
77
0
06 Oct 2020
1