Céline Hocquette

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Top Venues

Publications

Céline Hocquette, Andreas Niskanen, Rolf Morel, Matti Järvisalo, Andrew Cropper
Learning big logical rules by joining small rules. CoRR (2024)
Céline Hocquette, Andreas Niskanen, Matti Järvisalo, Andrew Cropper
Learning MDL Logic Programs from Noisy Data. AAAI (2024)
Andrew Cropper, Céline Hocquette
Learning logic programs by finding minimal unsatisfiable subprograms. CoRR (2024)
Céline Hocquette, Johannes Langer, Andrew Cropper, Ute Schmid
Can humans teach machines to code? CoRR (2024)
Andrew Cropper, Céline Hocquette
Learning Logic Programs by Discovering Where Not to Search. AAAI (2023)
Andrew Cropper, Céline Hocquette
Learning Logic Programs by Combining Programs. ECAI (2023)
Céline Hocquette, Andrew Cropper
Learning programs with magic values. Mach. Learn. 112 (5) (2023)
Céline Hocquette, Andrew Cropper
Relational Program Synthesis with Numerical Reasoning. AAAI (2023)
Céline Hocquette, Sebastijan Dumancic, Andrew Cropper
Learning Logic Programs by Discovering Higher-Order Abstractions. CoRR (2023)
Céline Hocquette, Andreas Niskanen, Matti Järvisalo, Andrew Cropper
Learning MDL logic programs from noisy data. CoRR (2023)
Céline Hocquette, Andrew Cropper
Learning programs with magic values. CoRR (2022)
Céline Hocquette, Andrew Cropper
Relational program synthesis with numerical reasoning. CoRR (2022)
Andrew Cropper, Céline Hocquette
Learning logic programs by discovering where not to search. CoRR (2022)
Lun Ai, Stephen H. Muggleton, Céline Hocquette, Mark Gromowski, Ute Schmid
Beneficial and harmful explanatory machine learning. Mach. Learn. 110 (4) (2021)
Lun Ai, Stephen H. Muggleton, Céline Hocquette, Mark Gromowski, Ute Schmid
Beneficial and Harmful Explanatory Machine Learning. CoRR (2020)
Céline Hocquette, Stephen H. Muggleton
Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning. IJCAI (2020)
Céline Hocquette, Stephen H. Muggleton
Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies? CoRR (2019)
Céline Hocquette
Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?. IJCAI (2019)
Stephen H. Muggleton, Céline Hocquette
Machine Discovery of Comprehensible Strategies for Simple Games Using Meta-interpretive Learning. New Gener. Comput. 37 (2) (2019)
Céline Hocquette, Stephen Muggleton
How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies? ILP (2018)