ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1701.06972
  4. Cited By
Deep Network Guided Proof Search

Deep Network Guided Proof Search

24 January 2017
Sarah M. Loos
G. Irving
Christian Szegedy
C. Kaliszyk
    AIMat
ArXivPDFHTML

Papers citing "Deep Network Guided Proof Search"

24 / 24 papers shown
Title
Hierarchical Attention Generates Better Proofs
Hierarchical Attention Generates Better Proofs
Jianlong Chen
Chao Li
Yang Yuan
Andrew Chi-Chih Yao
AIMat
LRM
31
0
0
27 Apr 2025
Efficient Neural Clause-Selection Reinforcement
Martin Suda
39
0
0
10 Mar 2025
Can Transformers Do Enumerative Geometry?
Can Transformers Do Enumerative Geometry?
Baran Hashemi
Roderic G. Corominas
Alessandro Giacchetto
34
2
0
27 Aug 2024
The Proof is in the Pudding: Using Automated Theorem Proving to Generate
  Cooking Recipes
The Proof is in the Pudding: Using Automated Theorem Proving to Generate Cooking Recipes
Louis Mahon
Carl Vogel
14
0
0
05 Mar 2022
Formal Mathematics Statement Curriculum Learning
Formal Mathematics Statement Curriculum Learning
Stanislas Polu
Jesse Michael Han
Kunhao Zheng
Mantas Baksys
Igor Babuschkin
Ilya Sutskever
AIMat
73
115
0
03 Feb 2022
Generating Symbolic Reasoning Problems with Transformer GANs
Generating Symbolic Reasoning Problems with Transformer GANs
Jens U. Kreber
Christopher Hahn
AI4CE
22
6
0
19 Oct 2021
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language
  and Symbolic Reasoning
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning
Pan Lu
Ran Gong
Shibiao Jiang
Liang Qiu
Siyuan Huang
Xiaodan Liang
Song-Chun Zhu
AIMat
LRM
15
207
0
10 May 2021
Training a First-Order Theorem Prover from Synthetic Data
Training a First-Order Theorem Prover from Synthetic Data
Vlad Firoiu
Eser Aygun
Ankit Anand
Zafarali Ahmed
Xavier Glorot
Laurent Orseau
Lei Zhang
Doina Precup
Shibl Mourad
NAI
21
13
0
05 Mar 2021
TacticZero: Learning to Prove Theorems from Scratch with Deep
  Reinforcement Learning
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning
Minchao Wu
Michael Norrish
Christian J. Walder
Amir Dezfouli
10
40
0
19 Feb 2021
IsarStep: a Benchmark for High-level Mathematical Reasoning
IsarStep: a Benchmark for High-level Mathematical Reasoning
Wenda Li
Lei Yu
Yuhuai Wu
Lawrence Charles Paulson
AIMat
LRM
8
10
0
13 Jun 2020
Tactic Learning and Proving for the Coq Proof Assistant
Tactic Learning and Proving for the Coq Proof Assistant
Lasse Blaauwbroek
Josef Urban
H. Geuvers
44
23
0
20 Mar 2020
Improving Graph Neural Network Representations of Logical Formulae with
  Subgraph Pooling
Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling
M. Crouse
Ibrahim Abdelaziz
Cristina Cornelio
Veronika Thost
Lingfei Wu
Kenneth D. Forbus
Achille Fokoue
NAI
AI4CE
GNN
93
36
0
15 Nov 2019
Mathematical Reasoning in Latent Space
Mathematical Reasoning in Latent Space
Dennis Lee
Christian Szegedy
M. Rabe
Sarah M. Loos
Kshitij Bansal
9
33
0
26 Sep 2019
Towards Finding Longer Proofs
Towards Finding Longer Proofs
Zsolt Zombori
Adrián Csiszárik
Henryk Michalewski
C. Kaliszyk
Josef Urban
OffRL
LRM
19
15
0
30 May 2019
HOList: An Environment for Machine Learning of Higher-Order Theorem
  Proving
HOList: An Environment for Machine Learning of Higher-Order Theorem Proving
Kshitij Bansal
Sarah M. Loos
M. Rabe
Christian Szegedy
S. Wilcox
AIMat
13
51
0
05 Apr 2019
ENIGMA-NG: Efficient Neural and Gradient-Boosted Inference Guidance for
  E
ENIGMA-NG: Efficient Neural and Gradient-Boosted Inference Guidance for E
Karel Chvalovský
Jan Jakubuv
Martin Suda
Josef Urban
6
64
0
07 Mar 2019
Learning Heuristics for Quantified Boolean Formulas through Deep
  Reinforcement Learning
Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement Learning
Gil Lederman
M. Rabe
Edward A. Lee
S. Seshia
11
38
0
20 Jul 2018
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
18
5
0
10 Jun 2018
GamePad: A Learning Environment for Theorem Proving
GamePad: A Learning Environment for Theorem Proving
Daniel Huang
Prafulla Dhariwal
D. Song
Ilya Sutskever
13
109
0
02 Jun 2018
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
83
1,502
0
25 Jan 2017
Learning Continuous Semantic Representations of Symbolic Expressions
Learning Continuous Semantic Representations of Symbolic Expressions
Miltiadis Allamanis
Pankajan Chanthirasegaran
Pushmeet Kohli
Charles Sutton
CLL
NAI
24
99
0
04 Nov 2016
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
250
13,360
0
25 Aug 2014
MizAR 40 for Mizar 40
MizAR 40 for Mizar 40
C. Kaliszyk
Josef Urban
VLM
AI4CE
LRM
AIMat
54
132
0
10 Oct 2013
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
248
7,633
0
03 Jul 2012
1