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Algebraic Representations for Faster Predictions in Convolutional Neural Networks

Algebraic Representations for Faster Predictions in Convolutional Neural Networks

Johnny Joyce
Jan Verschelde
ArXivPDFHTML

Papers citing "Algebraic Representations for Faster Predictions in Convolutional Neural Networks"

7 / 7 papers shown
Title
Constrained Neural Networks for Interpretable Heuristic Creation to Optimise Computer Algebra Systems
Constrained Neural Networks for Interpretable Heuristic Creation to Optimise Computer Algebra Systems
Dorian Florescu
Matthew England
30
1
0
26 Apr 2024
Explainable AI Insights for Symbolic Computation: A case study on selecting the variable ordering for cylindrical algebraic decomposition
Explainable AI Insights for Symbolic Computation: A case study on selecting the variable ordering for cylindrical algebraic decomposition
Lynn Pickering
Tereso Del Rio Almajano
Matthew England
Kelly Cohen
31
12
0
24 Apr 2023
Geometry of Linear Convolutional Networks
Geometry of Linear Convolutional Networks
Kathlén Kohn
Thomas Merkh
Guido Montúfar
Matthew Trager
45
18
0
03 Aug 2021
Neurons on Amoebae
Neurons on Amoebae
Jiakang Bao
Yang-Hui He
Edward Hirst
33
25
0
07 Jun 2021
An Exponential Learning Rate Schedule for Deep Learning
An Exponential Learning Rate Schedule for Deep Learning
Zhiyuan Li
Sanjeev Arora
48
217
0
16 Oct 2019
Identity Matters in Deep Learning
Identity Matters in Deep Learning
Moritz Hardt
Tengyu Ma
OOD
81
398
0
14 Nov 2016
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
Sumio Watanabe
126
2,381
0
14 Apr 2010

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