Céline Hocquette

According to our database, Céline Hocquette authored at least 17 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

An Empirical Comparison of Cost Functions in Inductive Logic Programming.

Céline Hocquette, Andrew Cropper

CoRR, March, 2025

2024

Relational decomposition for program synthesis.

Céline Hocquette, Andrew Cropper

CoRR, 2024

Can humans teach machines to code?

Céline Hocquette, Johannes Langer, Andrew Cropper, Ute Schmid

CoRR, 2024

Learning Big Logical Rules by Joining Small Rules.

Céline Hocquette, Andreas Niskanen, Rolf Morel, Matti Järvisalo, Andrew Cropper

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning Logic Programs by Discovering Higher-Order Abstractions.

Céline Hocquette, Sebastijan Dumancic, Andrew Cropper

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning Logic Programs by Finding Minimal Unsatisfiable Subprograms.

Andrew Cropper, Céline Hocquette

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.

Céline Hocquette, Andreas Niskanen, Matti Järvisalo, Andrew Cropper

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning programs with magic values.

Céline Hocquette, Andrew Cropper

Mach. Learn., May, 2023

Learning Logic Programs by Combining Programs.

Andrew Cropper, Céline Hocquette

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.

Céline Hocquette, Andrew Cropper

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning Logic Programs by Discovering Where Not to Search.

Andrew Cropper, Céline Hocquette

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Beneficial and harmful explanatory machine learning.

Lun Ai, Stephen H. Muggleton, Céline Hocquette, Mark Gromowski, Ute Schmid

Mach. Learn., 2021

2020

Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning.

Céline Hocquette, Stephen H. Muggleton

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.

Stephen H. Muggleton, Céline Hocquette

New Gener. Comput., 2019

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

Céline Hocquette, Stephen H. Muggleton

CoRR, 2019

Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?.

Céline Hocquette

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?

Céline Hocquette, Stephen H. Muggleton

Proceedings of the Inductive Logic Programming - 28th International Conference, 2018