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Recognizing and Verifying Mathematical Equations using Multiplicative
  Differential Neural Units

Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units

7 April 2021
A. Mali
Alexander Ororbia
Daniel Kifer
C. Lee Giles
ArXiv (abs)PDFHTML

Papers citing "Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units"

31 / 31 papers shown
Title
Recognizing Long Grammatical Sequences Using Recurrent Networks
  Augmented With An External Differentiable Stack
Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack
A. Mali
Alexander Ororbia
Daniel Kifer
C. Lee Giles
31
13
0
04 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
580
42,677
0
03 Dec 2019
Deep Learning for Symbolic Mathematics
Deep Learning for Symbolic Mathematics
Guillaume Lample
François Charton
3DGS
131
414
0
02 Dec 2019
Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck
  Languages
Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages
Mirac Suzgun
Sebastian Gehrmann
Yonatan Belinkov
Stuart M. Shieber
69
50
0
08 Nov 2019
Compositional Generalization with Tree Stack Memory Units
Compositional Generalization with Tree Stack Memory Units
Forough Arabshahi
Zhichu Lu
Pranay Mundra
Sameer Singh
Anima Anandkumar
46
10
0
05 Nov 2019
The Neural State Pushdown Automata
The Neural State Pushdown Automata
A. Mali
Alexander Ororbia
C. Lee Giles
37
20
0
07 Sep 2019
Compositionality decomposed: how do neural networks generalise?
Compositionality decomposed: how do neural networks generalise?
Dieuwke Hupkes
Verna Dankers
Mathijs Mul
Elia Bruni
CoGe
162
339
0
22 Aug 2019
Theoretical Limitations of Self-Attention in Neural Sequence Models
Theoretical Limitations of Self-Attention in Neural Sequence Models
Michael Hahn
74
275
0
16 Jun 2019
LSTM Networks Can Perform Dynamic Counting
LSTM Networks Can Perform Dynamic Counting
Mirac Suzgun
Sebastian Gehrmann
Yonatan Belinkov
Stuart M. Shieber
76
75
0
09 Jun 2019
Analysing Mathematical Reasoning Abilities of Neural Models
Analysing Mathematical Reasoning Abilities of Neural Models
D. Saxton
Edward Grefenstette
Felix Hill
Pushmeet Kohli
LRM
212
431
0
02 Apr 2019
Connecting Weighted Automata and Recurrent Neural Networks through
  Spectral Learning
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning
Guillaume Rabusseau
Tianyu Li
Doina Precup
134
41
0
04 Jul 2018
Can Neural Networks Understand Logical Entailment?
Can Neural Networks Understand Logical Entailment?
Richard Evans
D. Saxton
David Amos
Pushmeet Kohli
Edward Grefenstette
NAI
188
128
0
23 Feb 2018
Graph Memory Networks for Molecular Activity Prediction
Graph Memory Networks for Molecular Activity Prediction
Trang Pham
T. Tran
Svetha Venkatesh
GNN
63
30
0
08 Jan 2018
Visualisation and 'diagnostic classifiers' reveal how recurrent and
  recursive neural networks process hierarchical structure
Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure
Dieuwke Hupkes
Sara Veldhoen
Willem H. Zuidema
86
280
0
28 Nov 2017
The Neural Network Pushdown Automaton: Model, Stack and Learning
  Simulations
The Neural Network Pushdown Automaton: Model, Stack and Learning Simulations
Guo-Zheng Sun
Colin Giles
Hsing-Hen Chen
Yee-Chun Lee
52
31
0
15 Nov 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
819
132,725
0
12 Jun 2017
Making Neural Programming Architectures Generalize via Recursion
Making Neural Programming Architectures Generalize via Recursion
Jonathon Cai
Richard Shin
Basel Alomair
AI4CELRM
84
147
0
21 Apr 2017
Tree Memory Networks for Modelling Long-term Temporal Dependencies
Tree Memory Networks for Modelling Long-term Temporal Dependencies
Tharindu Fernando
Simon Denman
A. Mcfadyen
Sridha Sridharan
Clinton Fookes
81
54
0
12 Mar 2017
Learning Continuous Semantic Representations of Symbolic Expressions
Learning Continuous Semantic Representations of Symbolic Expressions
Miltiadis Allamanis
Pankajan Chanthirasegaran
Pushmeet Kohli
Charles Sutton
CLLNAI
104
99
0
04 Nov 2016
Multiplicative LSTM for sequence modelling
Multiplicative LSTM for sequence modelling
Ben Krause
Liang Lu
Iain Murray
Steve Renals
86
208
0
26 Sep 2016
On Multiplicative Integration with Recurrent Neural Networks
On Multiplicative Integration with Recurrent Neural Networks
Yuhuai Wu
Saizheng Zhang
Yanzhe Zhang
Yoshua Bengio
Ruslan Salakhutdinov
74
156
0
21 Jun 2016
Neural Programmer-Interpreters
Neural Programmer-Interpreters
Scott E. Reed
Nando de Freitas
110
411
0
19 Nov 2015
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
A. Kumar
Ozan Irsoy
Peter Ondruska
Mohit Iyyer
James Bradbury
Ishaan Gulrajani
Victor Zhong
Romain Paulus
R. Socher
129
1,182
0
24 Jun 2015
Learning to Transduce with Unbounded Memory
Learning to Transduce with Unbounded Memory
Edward Grefenstette
Karl Moritz Hermann
Mustafa Suleyman
Phil Blunsom
107
297
0
08 Jun 2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Armand Joulin
Tomas Mikolov
TPM
146
412
0
03 Mar 2015
Improved Semantic Representations From Tree-Structured Long Short-Term
  Memory Networks
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai
R. Socher
Christopher D. Manning
AIMat
146
3,123
0
28 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
Neural Turing Machines
Neural Turing Machines
Alex Graves
Greg Wayne
Ivo Danihelka
115
2,333
0
20 Oct 2014
Memory Networks
Memory Networks
Jason Weston
S. Chopra
Antoine Bordes
GNNKELM
164
1,709
0
15 Oct 2014
Learning to Discover Efficient Mathematical Identities
Learning to Discover Efficient Mathematical Identities
Wojciech Zaremba
Karol Kurach
Rob Fergus
97
54
0
06 Jun 2014
Can recursive neural tensor networks learn logical reasoning?
Can recursive neural tensor networks learn logical reasoning?
Samuel R. Bowman
NAI
84
44
0
21 Dec 2013
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