Andrew Cropper

Orcid: 0000-0002-4543-7199

Affiliations:
  • University of Oxford, UK
  • Imperial College London, UK (PhD 2017)


According to our database1, Andrew Cropper authored at least 47 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Learning logic programs by finding minimal unsatisfiable subprograms.
CoRR, 2024

Learning big logical rules by joining small rules.
CoRR, 2024

Learning MDL Logic Programs from Noisy Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Generalisation through Negation and Predicate Invention.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning logic programs by explaining their failures.
Mach. Learn., October, 2023

Learning programs with magic values.
Mach. Learn., May, 2023

Learning Logic Programs by Discovering Higher-Order Abstractions.
CoRR, 2023

Learning Logic Programs by Combining Programs.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Relational Program Synthesis with Numerical Reasoning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning Logic Programs by Discovering Where Not to Search.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

The Automatic Computer Scientist.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Inductive logic programming at 30.
Mach. Learn., 2022

Inductive Logic Programming At 30: A New Introduction.
J. Artif. Intell. Res., 2022

Constraint-driven multi-task learning.
CoRR, 2022

Learning programs by combining programs.
CoRR, 2022

Learning Logic Programs Though Divide, Constrain, and Conquer.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning programs by learning from failures.
Mach. Learn., 2021

Approaches and Applications of Inductive Programming (Dagstuhl Seminar 21192).
Dagstuhl Reports, 2021

Learning logic programs through divide, constrain, and conquer.
CoRR, 2021

Parallel Constraint-Driven Inductive Logic Programming.
CoRR, 2021

Predicate Invention by Learning From Failures.
CoRR, 2021

Learning Logic Programs by Explaining Failures.
CoRR, 2021

Knowledge Refactoring for Inductive Program Synthesis.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Logical reduction of metarules.
Mach. Learn., 2020

Learning higher-order logic programs.
Mach. Learn., 2020

Inductive general game playing.
Mach. Learn., 2020

Knowledge Refactoring for Program Induction.
CoRR, 2020

Turning 30: New Ideas in Inductive Logic Programming.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Large Logic Programs By Going Beyond Entailment.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Higher-Order Programs through Predicate Invention.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Forgetting to Learn Logic Programs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning efficient logic programs.
Mach. Learn., 2019

SLD-Resolution Reduction of Second-Order Horn Fragments - technical report -.
CoRR, 2019

SLD-Resolution Reduction of Second-Order Horn Fragments.
Proceedings of the Logics in Artificial Intelligence - 16th European Conference, 2019

Typed Meta-interpretive Learning of Logic Programs.
Proceedings of the Logics in Artificial Intelligence - 16th European Conference, 2019

Playgol: Learning Programs Through Play.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Derivation Reduction of Metarules in Meta-interpretive Learning.
Proceedings of the Inductive Logic Programming - 28th International Conference, 2018

2017
Efficiently learning efficient programs.
PhD thesis, 2017

2016
Learning Higher-Order Logic Programs through Abstraction and Invention.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Logic-Based Inductive Synthesis of Efficient Programs.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Can predicate invention compensate for incomplete background knowledge?
Proceedings of the Thirteenth Scandinavian Conference on Artificial Intelligence, 2015

Typed meta-interpretive learning for proof strategies.
Proceedings of the Late Breaking Papers of the 25th International Conference on Inductive Logic Programming, 2015

Meta-Interpretive Learning of Data Transformation Programs.
Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

Learning Efficient Logical Robot Strategies Involving Composable Objects.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning Efficient Logic Programs.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Logical Minimisation of Meta-Rules Within Meta-Interpretive Learning.
Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

Identifying and inferring objects from textual descriptions of scenes from books.
Proceedings of the 2014 Imperial College Computing Student Workshop, 2014


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