Invariant neural architecture for learning term synthesis in instantiation proving-Reference-Cited by-同舟云学术

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Invariant neural architecture for learning term synthesis in instantiation proving

Published:2025-05 Issue: Volume:128 Page:102375
ISSN:0747-7171
Container-title:Journal of Symbolic Computation
language:en
Short-container-title:Journal of Symbolic Computation

Author:

Piepenbrock Jelle^ORCID,Urban Josef,Korovin Konstantin,Olšák Miroslav,Heskes Tom,Janota Mikoláš

Funder

European Regional Development Fund

Ministry of Education Youth and Sports

European Union

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Reference33 articles.

1. cvc5: a versatile and industrial-strength smt solver;Barbosa,2022

2. Satisfiability modulo theories;Barrett,2021

3. Machine learning for instance selection in SMT solving;Blanchette,2019

4. Learning theorem proving components;Chvalovský,2021

5. Handbook of Model Checking, vol. 10;Clarke,2018

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