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DeepMath - Deep Sequence Models for Premise Selection

DeepMath - Deep Sequence Models for Premise Selection

14 June 2016
Alexander A. Alemi
François Chollet
N. Eén
G. Irving
Christian Szegedy
Josef Urban
    LRM
    AIMat
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Papers citing "DeepMath - Deep Sequence Models for Premise Selection"

34 / 34 papers shown
Title
MPS-Prover: Advancing Stepwise Theorem Proving by Multi-Perspective Search and Data Curation
MPS-Prover: Advancing Stepwise Theorem Proving by Multi-Perspective Search and Data Curation
Zhenwen Liang
Linfeng Song
Yang Li
Tao Yang
Feng Zhang
Haitao Mi
Dong Yu
LRM
17
0
0
16 May 2025
Hierarchical Attention Generates Better Proofs
Hierarchical Attention Generates Better Proofs
Jianlong Chen
Chao Li
Yang Yuan
Andrew Chi-Chih Yao
AIMat
LRM
33
0
0
27 Apr 2025
Mathematical Language Models: A Survey
Mathematical Language Models: A Survey
Wei Liu
Hanglei Hu
Jie Zhou
Yuyang Ding
Junsong Li
...
Mengliang He
Qin Chen
Bo Jiang
Aimin Zhou
Liang He
LRM
81
13
0
03 Jan 2025
LeanAgent: Lifelong Learning for Formal Theorem Proving
LeanAgent: Lifelong Learning for Formal Theorem Proving
Adarsh Kumarappan
Mo Tiwari
Peiyang Song
Robert Joseph George
Chaowei Xiao
Anima Anandkumar
CLL
LLMAG
LRM
74
8
0
08 Oct 2024
miniCTX: Neural Theorem Proving with (Long-)Contexts
miniCTX: Neural Theorem Proving with (Long-)Contexts
Jiewen Hu
Thomas Zhu
Sean Welleck
AIMat
71
8
0
05 Aug 2024
Thinking Tokens for Language Modeling
Thinking Tokens for Language Modeling
David Herel
Tomáš Mikolov
LRM
29
2
0
14 May 2024
Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis
Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis
Julian Parsert
Elizabeth Polgreen
33
3
0
13 Jul 2023
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's
  Progressive Matrices
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices
Jingyi Xu
Tushar Vaidya
Y. Blankenship
Saket Chandra
Zhangsheng Lai
Kai Fong Ernest Chong
41
8
0
21 Mar 2023
Machine-Learned Premise Selection for Lean
Machine-Learned Premise Selection for Lean
Bartosz Piotrowski
Ramon Fernández Mir
Edward W. Ayers
11
12
0
17 Mar 2023
Neural Controller Synthesis for Signal Temporal Logic Specifications
  Using Encoder-Decoder Structured Networks
Neural Controller Synthesis for Signal Temporal Logic Specifications Using Encoder-Decoder Structured Networks
Wataru Hashimoto
Kazumune Hashimoto
M. Kishida
S. Takai
32
1
0
10 Dec 2022
Peano: Learning Formal Mathematical Reasoning
Peano: Learning Formal Mathematical Reasoning
Gabriel Poesia
Noah D. Goodman
LRM
25
20
0
29 Nov 2022
Solving Quantitative Reasoning Problems with Language Models
Solving Quantitative Reasoning Problems with Language Models
Aitor Lewkowycz
Anders Andreassen
David Dohan
Ethan Dyer
Henryk Michalewski
...
Theo Gutman-Solo
Yuhuai Wu
Behnam Neyshabur
Guy Gur-Ari
Vedant Misra
ReLM
ELM
LRM
64
755
0
29 Jun 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
91
118
0
03 Feb 2022
Generating Symbolic Reasoning Problems with Transformer GANs
Generating Symbolic Reasoning Problems with Transformer GANs
Jens U. Kreber
Christopher Hahn
AI4CE
30
6
0
19 Oct 2021
Proof Artifact Co-training for Theorem Proving with Language Models
Proof Artifact Co-training for Theorem Proving with Language Models
Jesse Michael Han
Jason M. Rute
Yuhuai Wu
Edward W. Ayers
Stanislas Polu
AIMat
25
120
0
11 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
26
10
0
13 Jun 2020
Natural Language Premise Selection: Finding Supporting Statements for
  Mathematical Text
Natural Language Premise Selection: Finding Supporting Statements for Mathematical Text
Deborah Ferreira
André Freitas
AIMat
17
32
0
30 Apr 2020
Improving Graph Neural Network Representations of Logical Formulae with
  Subgraph Pooling
Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling
Mayank Agarwal
Ibrahim Abdelaziz
Cristina Cornelio
Veronika Thost
Lingfei Wu
Kenneth D. Forbus
Achille Fokoue
NAI
AI4CE
GNN
101
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
30
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
29
15
0
30 May 2019
Learning to Reason in Large Theories without Imitation
Learning to Reason in Large Theories without Imitation
Kshitij Bansal
Christian Szegedy
M. Rabe
Sarah M. Loos
Viktor Toman
NAI
LRM
23
42
0
25 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
23
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
14
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
13
38
0
20 Jul 2018
PaMpeR: Proof Method Recommendation System for Isabelle/HOL
PaMpeR: Proof Method Recommendation System for Isabelle/HOL
Yutaka Nagashima
Yilun He
14
24
0
19 Jun 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
28
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
31
109
0
02 Jun 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural
  Networks
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Kun Xu
Lingfei Wu
Zhiguo Wang
Yansong Feng
Michael Witbrock
V. Sheinin
GNN
25
171
0
03 Apr 2018
ProofWatch: Watchlist Guidance for Large Theories in E
ProofWatch: Watchlist Guidance for Large Theories in E
Z. Goertzel
Jan Jakubuv
S. Schulz
Josef Urban
LRM
20
13
0
12 Feb 2018
SLDR-DL: A Framework for SLD-Resolution with Deep Learning
SLDR-DL: A Framework for SLD-Resolution with Deep Learning
Cheng-Hao Cai
26
2
0
05 May 2017
Deep Network Guided Proof Search
Deep Network Guided Proof Search
Sarah M. Loos
G. Irving
Christian Szegedy
C. Kaliszyk
AIMat
18
157
0
24 Jan 2017
DeepCoder: Learning to Write Programs
DeepCoder: Learning to Write Programs
Matej Balog
Alexander L. Gaunt
Marc Brockschmidt
Sebastian Nowozin
Daniel Tarlow
AIMat
NAI
18
566
0
07 Nov 2016
Learning Continuous Semantic Representations of Symbolic Expressions
Learning Continuous Semantic Representations of Symbolic Expressions
Miltiadis Allamanis
Pankajan Chanthirasegaran
Pushmeet Kohli
Charles Sutton
CLL
NAI
31
99
0
04 Nov 2016
MizAR 40 for Mizar 40
MizAR 40 for Mizar 40
C. Kaliszyk
Josef Urban
VLM
AI4CE
LRM
AIMat
56
132
0
10 Oct 2013
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