Skip to content
VuFind
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
Cover Image

Saved in:
Bibliographic Details
Main Authors: Gupta, Chakshu, LaGrow, Theodore J.
Format: Preprint
Published: 2026
Subjects:
Neural and Evolutionary Computing
Artificial Intelligence
Machine Learning
Symbolic Computation
68T05, 68W30
I.2.6
Online Access:https://arxiv.org/abs/2604.23256
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Holdings
  • Description
  • Table of Contents
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2604.23256

Similar Items

  • Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints
    by: Bruneton, J. -P.
    Published: (2025)
  • Lessons on Datasets and Paradigms in Machine Learning for Symbolic Computation: A Case Study on CAD
    by: del Río, Tereso, et al.
    Published: (2024)
  • Explainable AI Insights for Symbolic Computation: A case study on selecting the variable ordering for cylindrical algebraic decomposition
    by: Pickering, Lynn, et al.
    Published: (2023)
  • Constrained Neural Networks for Interpretable Heuristic Creation to Optimise Computer Algebra Systems
    by: Florescu, Dorian, et al.
    Published: (2024)
  • Composition of Relational Features with an Application to Explaining Black-Box Predictors
    by: Srinivasan, Ashwin, et al.
    Published: (2022)

Search Options

  • Search History
  • Advanced Search

Find More

  • Browse the Catalog
  • Browse Alphabetically
  • Explore Channels
  • Course Reserves
  • New Items

Need Help?

  • Search Tips
  • Ask a Librarian
  • FAQs