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Guiding High-Performance SAT Solvers with Unsat-Core Predictions
v1v2v3v4v5v6v7 (latest)

Guiding High-Performance SAT Solvers with Unsat-Core Predictions

12 March 2019
Daniel Selsam
Nikolaj S. Bjørner
    NAI
ArXiv (abs)PDFHTML

Papers citing "Guiding High-Performance SAT Solvers with Unsat-Core Predictions"

17 / 17 papers shown
Title
GamePad: A Learning Environment for Theorem Proving
GamePad: A Learning Environment for Theorem Proving
Daniel Huang
Prafulla Dhariwal
Basel Alomair
Ilya Sutskever
96
110
0
02 Jun 2018
Learning to Branch
Learning to Branch
Maria-Florina Balcan
Travis Dick
Tuomas Sandholm
Ellen Vitercik
70
173
0
27 Mar 2018
Learning a SAT Solver from Single-Bit Supervision
Learning a SAT Solver from Single-Bit Supervision
Daniel Selsam
Matthew Lamm
Benedikt Bünz
Percy Liang
L. D. Moura
D. Dill
NAI
92
424
0
11 Feb 2018
Ray: A Distributed Framework for Emerging AI Applications
Ray: A Distributed Framework for Emerging AI Applications
Philipp Moritz
Robert Nishihara
Stephanie Wang
Alexey Tumanov
Richard Liaw
...
Melih Elibol
Zongheng Yang
William Paul
Michael I. Jordan
Ion Stoica
GNN
105
1,266
0
16 Dec 2017
Premise Selection for Theorem Proving by Deep Graph Embedding
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang
Yihe Tang
Jian Wang
Jia Deng
66
133
0
28 Sep 2017
RobustFill: Neural Program Learning under Noisy I/O
RobustFill: Neural Program Learning under Noisy I/O
Jacob Devlin
J. Uesato
Surya Bhupatiraju
Rishabh Singh
Abdel-rahman Mohamed
Pushmeet Kohli
75
393
0
21 Mar 2017
HolStep: A Machine Learning Dataset for Higher-order Logic Theorem
  Proving
HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving
C. Kaliszyk
François Chollet
Christian Szegedy
55
83
0
01 Mar 2017
Deep Network Guided Proof Search
Deep Network Guided Proof Search
Sarah M. Loos
G. Irving
Christian Szegedy
C. Kaliszyk
AIMat
78
159
0
24 Jan 2017
Neuro-Symbolic Program Synthesis
Neuro-Symbolic Program Synthesis
Emilio Parisotto
Abdel-rahman Mohamed
Rishabh Singh
Lihong Li
Dengyong Zhou
Pushmeet Kohli
NAI
111
322
0
06 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
905
6,796
0
26 Sep 2016
Holophrasm: a neural Automated Theorem Prover for higher-order logic
Holophrasm: a neural Automated Theorem Prover for higher-order logic
Daniel Whalen
AIMat
79
50
0
08 Aug 2016
DeepMath - Deep Sequence Models for Premise Selection
DeepMath - Deep Sequence Models for Premise Selection
Alexander A. Alemi
François Chollet
N. Eén
G. Irving
Christian Szegedy
Josef Urban
LRMAIMat
73
229
0
14 Jun 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
Selecting the Selection
Selecting the Selection
Giles Reger
Martin Suda
A. Voronkov
Krystof Hoder
42
42
0
27 Apr 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,260
0
22 Dec 2014
Symbiosis of Search and Heuristics for Random 3-SAT
Symbiosis of Search and Heuristics for Random 3-SAT
S. Mijnders
B. D. Wilde
Marijn J. H. Heule
45
19
0
18 Feb 2014
SATzilla: Portfolio-based Algorithm Selection for SAT
SATzilla: Portfolio-based Algorithm Selection for SAT
Lin Xu
Frank Hutter
Holger H. Hoos
Kevin Leyton-Brown
98
975
0
31 Oct 2011
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