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MaLeS: A Framework for Automatic Tuning of Automated Theorem Provers
v1v2v3 (latest)

MaLeS: A Framework for Automatic Tuning of Automated Theorem Provers

9 August 2013
D. Kühlwein
Josef Urban
ArXiv (abs)PDFHTML

Papers citing "MaLeS: A Framework for Automatic Tuning of Automated Theorem Provers"

8 / 8 papers shown
Title
Regularization in Spider-Style Strategy Discovery and Schedule
  Construction
Regularization in Spider-Style Strategy Discovery and Schedule Construction
Filip Bártek
Karel Chvalovský
Martin Suda
58
7
0
19 Mar 2024
Learning Guided Automated Reasoning: A Brief Survey
Learning Guided Automated Reasoning: A Brief Survey
Lasse Blaauwbroek
David M. Cerna
Thibault Gauthier
Jan Jakubruv
C. Kaliszyk
Martin Suda
Josef Urban
LRM
93
5
0
06 Mar 2024
ML + FV = $\heartsuit$? A Survey on the Application of Machine Learning
  to Formal Verification
ML + FV = ♡\heartsuit♡? A Survey on the Application of Machine Learning to Formal Verification
Moussa Amrani
L. Lucio
Adrien Bibal
53
5
0
10 Jun 2018
Reinforcement Learning of Theorem Proving
Reinforcement Learning of Theorem Proving
C. Kaliszyk
Josef Urban
Henryk Michalewski
Miroslav Olsák
58
148
0
19 May 2018
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
102
133
0
28 Sep 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
96
83
0
01 Mar 2017
ENIGMA: Efficient Learning-based Inference Guiding Machine
ENIGMA: Efficient Learning-based Inference Guiding Machine
Jan Jakubuv
Josef Urban
68
94
0
23 Jan 2017
BliStrTune: Hierarchical Invention of Theorem Proving Strategies
BliStrTune: Hierarchical Invention of Theorem Proving Strategies
Jan Jakubuv
Josef Urban
81
25
0
26 Nov 2016
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