Publications

DBLP Scholar

Journals

• Learning programs by explaining failures
  R. Morel and A. Cropper
  MLJ 2023

• Learning programs with magic values
  C. Hocquette and A. Cropper
  MLJ 2023
  code slides

• Inductive logic programming at 30: a new introduction
  A. Cropper and S. Dumančić
  JAIR 2022

• Inductive logic programming at 30
  A. Cropper, S. Dumančić, R. Evans, and S.H. Muggleton
  MLJ 2022

• Learning programs by learning from failures
  A. Cropper and R. Morel.
  MLJ 2021
  slides

• Inductive general game playing
  A. Cropper, R. Evans, and M. Law
  MLJ 2020
  code dataset slides

• Logical reduction of metarules
  A. Cropper and S. Tourret
  MLJ 2020
  code slides

• Learning higher-order logic programs
  A. Cropper, R. Morel, and S.H. Muggleton
  MLJ 2020
  code slides

• Learning efficient logic programs
  A. Cropper and S.H. Muggleton
  MLJ 2019
  code slides

Conferences

• Learning big logical rules by joining small rules
  C. Hocquette, A. Niskanen, R. Morel, M. Järvisalo, and A. Cropper
  IJCAI 2024 

• Learning logic programs by discovering higher-order abstractions
  C. Hocquette, S. Dumančić, and A. Cropper
  IJCAI 2024

• Learning MDL logic programs from noisy data
  C. Hocquette, A. Niskanen, M. Järvisalo, and A. Cropper
  AAAI 2024
  code slides

• Generalisation through negation and predicate invention
  D. Cerna and A. Cropper
  AAAI 2024
  code

• Learning logic programs by combining programs
  A. Cropper and C. Hocquette
  ECAI 2023
  slides

• Relational program synthesis with numerical reasoning
  C. Hocquette and A. Cropper.
  AAAI 2023
  code

• Learning logic programs by discovering where not to search
  A. Cropper and C. Hocquette.
  AAAI 2023
  code slides

• The automatic computer scientist
  A. Cropper
  AAAI 2023

• Learning logic programs through divide, constrain, and conquer
  A. Cropper
  AAAI 2022
  code slides

• Knowledge refactoring for inductive program synthesis
  S. Dumančić, T. Guns, and A. Cropper
  AAAI 2021
  code

• Learning large logic programs by going beyond entailment
  A. Cropper and S. Dumančić
  IJCAI 2020

• Turning 30: new ideas in inductive logic programming
  A. Cropper, S. Dumančić, and S.H. Muggleton
  IJCAI 2020

• Forgetting to learn logic programs
  A. Cropper
  AAAI 2020
  code slides

• Learning higher-order programs through predicate invention
  A. Cropper, R. Morel, and S.H. Muggleton
  AAAI 2020
  slides

• Playgol: learning programs through play
  A. Cropper
  IJCAI 2019
  code slides

• SLD-resolution reduction of second-order Horn fragments
  S. Tourret and A. Cropper
  JELIA 2019 

• Typed meta-interpretive learning of logic programs
  R. Morel, A. Cropper, and L. Ong
  JELIA 2019
  code

• Derivation reduction of metarules in meta-interpretive learning
  A. Cropper and S. Tourret
  ILP 2018
  code slides

• Learning higher-order logic programs through abstraction and invention
  A. Cropper and S.H. Muggleton
  IJCAI 2016
  code slides

• Logic-based inductive synthesis of efficient programs
  A. Cropper
  IJCAI 2016

• Learning efficient logical robot strategies involving composable objects
  A. Cropper and S.H. Muggleton
  IJCAI 2015
  code slides

• Learning efficient logic programs
  A. Cropper
  IJCAI 2015

• Meta-interpretive learning of data transformation programs
  A. Cropper, A. Tamaddoni-Nezhad, and S.H. Muggleton
  ILP 2015
  code slides

• Typed meta-interpretive learning for proof strategies
  C. Farquhar, G. Grov, A. Cropper, S.H. Muggleton, and A. Bundy
  ILP 2015

• Can predicate invention compensate for incomplete background knowledge?
  A. Cropper and S.H. Muggleton
  SCAI 2015

• Logical minimisation of meta-rules within meta-interpretive learning
  A. Cropper and S.H. Muggleton
  ILP 2014
  slides

Other

• Learning logic programs by finding minimal unsatisfiable subprograms
  A. Cropper and C. Hocquette 

• Predicate invention by learning from failures
  A. Cropper and R. Morel

• Efficiently learning efficient programs
  A. Cropper
  PhD thesis. Imperial College London. 2017