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Céline Hocquette
Person information
- affiliation: University of Oxford, UK
- affiliation (former): Imperial College London, UK
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2020 – today
- 2024
- [c7]Céline Hocquette, Andreas Niskanen, Matti Järvisalo, Andrew Cropper:
Learning MDL Logic Programs from Noisy Data. AAAI 2024: 10553-10561 - [i10]Céline Hocquette, Andreas Niskanen, Rolf Morel, Matti Järvisalo, Andrew Cropper:
Learning big logical rules by joining small rules. CoRR abs/2401.16215 (2024) - [i9]Andrew Cropper, Céline Hocquette:
Learning logic programs by finding minimal unsatisfiable subprograms. CoRR abs/2401.16383 (2024) - [i8]Céline Hocquette, Johannes Langer, Andrew Cropper, Ute Schmid:
Can humans teach machines to code? CoRR abs/2404.19397 (2024) - 2023
- [j3]Céline Hocquette
, Andrew Cropper:
Learning programs with magic values. Mach. Learn. 112(5): 1551-1595 (2023) - [c6]Andrew Cropper, Céline Hocquette:
Learning Logic Programs by Discovering Where Not to Search. AAAI 2023: 6289-6296 - [c5]Céline Hocquette, Andrew Cropper:
Relational Program Synthesis with Numerical Reasoning. AAAI 2023: 6425-6433 - [c4]Andrew Cropper, Céline Hocquette:
Learning Logic Programs by Combining Programs. ECAI 2023: 501-508 - [i7]Céline Hocquette, Sebastijan Dumancic, Andrew Cropper:
Learning Logic Programs by Discovering Higher-Order Abstractions. CoRR abs/2308.08334 (2023) - [i6]Céline Hocquette, Andreas Niskanen, Matti Järvisalo, Andrew Cropper:
Learning MDL logic programs from noisy data. CoRR abs/2308.09393 (2023) - 2022
- [i5]Andrew Cropper, Céline Hocquette:
Learning logic programs by discovering where not to search. CoRR abs/2202.09806 (2022) - [i4]Céline Hocquette, Andrew Cropper:
Learning programs with magic values. CoRR abs/2208.03238 (2022) - [i3]Céline Hocquette, Andrew Cropper:
Relational program synthesis with numerical reasoning. CoRR abs/2210.00764 (2022) - 2021
- [j2]Lun Ai
, Stephen H. Muggleton, Céline Hocquette, Mark Gromowski, Ute Schmid
:
Beneficial and harmful explanatory machine learning. Mach. Learn. 110(4): 695-721 (2021) - 2020
- [c3]Céline Hocquette, Stephen H. Muggleton:
Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning. IJCAI 2020: 2312-2318 - [i2]Lun Ai, Stephen H. Muggleton, Céline Hocquette, Mark Gromowski, Ute Schmid:
Beneficial and Harmful Explanatory Machine Learning. CoRR abs/2009.06410 (2020)
2010 – 2019
- 2019
- [j1]Stephen H. Muggleton
, Céline Hocquette:
Machine Discovery of Comprehensible Strategies for Simple Games Using Meta-interpretive Learning. New Gener. Comput. 37(2): 203-217 (2019) - [c2]Céline Hocquette:
Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?. IJCAI 2019: 6440-6441 - [i1]Céline Hocquette, Stephen H. Muggleton:
Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies? CoRR abs/1902.09835 (2019) - 2018
- [c1]Céline Hocquette, Stephen H. Muggleton:
How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies? ILP 2018: 38-53
Coauthor Index
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last updated on 2024-05-28 21:35 CEST by the dblp team
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