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Can Neural Networks Learn Symbolic Rewriting?
v1v2 (latest)

Can Neural Networks Learn Symbolic Rewriting?

7 November 2019
Bartosz Piotrowski
Josef Urban
C. Brown
C. Kaliszyk
    NAI
ArXiv (abs)PDFHTML

Papers citing "Can Neural Networks Learn Symbolic Rewriting?"

7 / 7 papers shown
Title
Generating Elementary Integrable Expressions
Generating Elementary Integrable Expressions
Rashid Barket
Matthew England
Jurgen Gerhard
11
3
0
27 Jun 2023
MizAR 60 for Mizar 50
MizAR 60 for Mizar 50
Jan Jakubruv
Karel Chvalovský
Z. Goertzel
C. Kaliszyk
Mirek Olvsák
Bartosz Piotrowski
S. Schulz
Martin Suda
Josef Urban
87
13
0
12 Mar 2023
Alien Coding
Alien Coding
Thibault Gauthier
Miroslav Olsák
J. Urban
74
8
0
27 Jan 2023
Simplifying Polylogarithms with Machine Learning
Simplifying Polylogarithms with Machine Learning
Aurélien Dersy
M. Schwartz
Xiao-Yan Zhang
AI4CE
210
16
0
08 Jun 2022
Symbolic Brittleness in Sequence Models: on Systematic Generalization in
  Symbolic Mathematics
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics
Sean Welleck
Peter West
Jize Cao
Yejin Choi
146
31
0
28 Sep 2021
Stateful Premise Selection by Recurrent Neural Networks
Stateful Premise Selection by Recurrent Neural Networks
Bartosz Piotrowski
Josef Urban
LRM
62
21
0
11 Mar 2020
Mathematical Reasoning in Latent Space
Mathematical Reasoning in Latent Space
Dennis Lee
Christian Szegedy
M. Rabe
Sarah M. Loos
Kshitij Bansal
78
34
0
26 Sep 2019
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