Céline Hocquette

Orcid: 0000-0001-6732-1587

Affiliations:
  • University of Southampton, UK
  • University of Oxford, UK (former)
  • Imperial College London, UK (former)


According to our database1, Céline Hocquette authored at least 16 papers between 2018 and 2024.

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

Timeline

2018
2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Relational decomposition for program synthesis.
CoRR, 2024

Can humans teach machines to code?
CoRR, 2024

Learning Big Logical Rules by Joining Small Rules.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning Logic Programs by Discovering Higher-Order Abstractions.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning Logic Programs by Finding Minimal Unsatisfiable Subprograms.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

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

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

2021
Beneficial and harmful explanatory machine learning.
Mach. Learn., 2021

2020
Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Machine Discovery of Comprehensible Strategies for Simple Games Using Meta-interpretive Learning.
New Gener. Comput., 2019

Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?
CoRR, 2019

Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies?
Proceedings of the Inductive Logic Programming - 28th International Conference, 2018


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