Publications in conferences

1. • Relational decomposition for program synthesis
   • Céline Hocquette and Andrew Cropper
   • IJCAI, 2025


2. • Learning logic programs by finding minimal unsatisfiable subprograms
   • Andrew Cropper and Céline Hocquette
   • ECAI, 2024
   poster


3. • Learning big logical rules by joining small rules
   • Céline Hocquette, Andreas Niskanen, Rolf Morel, Matti Järvisalo, and Andrew Cropper
   • IJCAI, 2024
   slides code poster
   
   
4. • Learning logic programs by discovering higher-order abstractions
   • Céline Hocquette, Sebastijan Dumančić, and Andrew Cropper
   • IJCAI, 2024
   slides code poster
   
   
5. • Learning MDL logic programs from noisy data
   • Céline Hocquette, Andreas Niskanen, Matti Järvisalo, and Andrew Cropper
   • AAAI, 2024
   slides code poster


6. • Learning logic programs by combing programs
   • Andrew Cropper and Céline Hocquette
   • ECAI, 2023
   slides code poster


7. • Relational program synthesis with numerical reasoning
   • Céline Hocquette and Andrew Cropper
   • AAAI, 2023
   • slides code poster


8. • Learning logic programs by discovering where not to search
   • Andrew Cropper and Céline Hocquette
   • AAAI, 2023
   • slides code poster


9. • Complete bottom-up predicate invention in meta-interpretive learning
   • Céline Hocquette and Stephen Muggleton
   • IJCAI, 2020
   code


10. • How much can experimental cost be reduced in active learning of agent strategies?
    • Céline Hocquette and Stephen Muggleton
    • ILP, 2018
    • slides code

Publications in journals



1. • Learning programs with magic values
   • Céline Hocquette and Andrew Cropper
   • Machine learning, 2022
   • slides code poster
   
   
2. • Beneficial and harmful explanatory machine learning
   • Lun Ai, Stephen Muggleton, Céline Hocquette, Mark Gromowski, and Ute Schmid
   • Machine Learning, 2021
   
   
3. • Machine discovery of comprehensible strategies for simple games using meta-interpretive learning
   • Stephen Muggleton and Céline Hocquette
   • New Generation Computing, 2019
   code



Workshops



1. • Constraint programming for inductive logic programming
   • Andrew Cropper and Céline Hocquette
   • AAAI Bridge on Constraint Programming and Machine Learning, 2024
   • slides
   
   

Thesis

• Efficient instance and hypothesis space revision in Meta-Interpretive Learning
• 2021
• Supervisor: Stephen Muggleton




Pre-prints



1. • An empirical comparison of cost functions in inductive logic programming
   • Céline Hocquette, and Andrew Cropper


2. • Can humans teach machines to code?
   • Céline Hocquette, Johannes Langer, Andrew Cropper, and Ute Schmid



Blog post



1. • Learning programs with numerical reasoning
   • Céline Hocquette
   • AIhub.org, 2024