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Explainable AI Insights for Symbolic Computation: A case study on
  selecting the variable ordering for cylindrical algebraic decomposition
v1v2 (latest)

Explainable AI Insights for Symbolic Computation: A case study on selecting the variable ordering for cylindrical algebraic decomposition

24 April 2023
Lynn Pickering
Tereso Del Rio Almajano
Matthew England
Kelly Cohen
ArXiv (abs)PDFHTML

Papers citing "Explainable AI Insights for Symbolic Computation: A case study on selecting the variable ordering for cylindrical algebraic decomposition"

5 / 5 papers shown
Title
Transformers to Predict the Applicability of Symbolic Integration
  Routines
Transformers to Predict the Applicability of Symbolic Integration Routines
Rashid Barket
Uzma Shafiq
Matthew England
Juergen Gerhard
46
0
0
31 Oct 2024
Algebraic Representations for Faster Predictions in Convolutional Neural
  Networks
Algebraic Representations for Faster Predictions in Convolutional Neural Networks
Johnny Joyce
Jan Verschelde
AI4CE
60
0
0
14 Aug 2024
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
42
1
0
26 Apr 2024
Symbolic Integration Algorithm Selection with Machine Learning: LSTMs vs
  Tree LSTMs
Symbolic Integration Algorithm Selection with Machine Learning: LSTMs vs Tree LSTMs
Rashid Barket
Matthew England
Jurgen Gerhard
53
3
0
23 Apr 2024
Lessons on Datasets and Paradigms in Machine Learning for Symbolic
  Computation: A Case Study on CAD
Lessons on Datasets and Paradigms in Machine Learning for Symbolic Computation: A Case Study on CAD
Tereso del Río
Matthew England
42
1
0
24 Jan 2024
1