Théo MATRICON

2022202320243 8 2

Nathanaël FijalkowCNRS, LaBRI, Bordeaux, and University of Warsawlabri.fr의 이메일 확인됨
Guillaume LagardeLaBRIlabri.fr의 이메일 확인됨
Kevin EllisCornellcornell.edu의 이메일 확인됨
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British Columbiacs.rwth-aachen.de의 이메일 확인됨
Marie AnastacioPh.D. Student, Leiden universiteit, RWTH Aachenliacs.leidenuniv.nl의 이메일 확인됨
Pierre OhlmannPostdoctoral researcher, University of Warsawmimuw.edu.pl의 이메일 확인됨
Akarsh PottaUndergrad in Computer Science and Engineering Department at Indian Institute of Technology, Bombayiitb.ac.in의 이메일 확인됨
Laurent SimonProfessor of Computer Science, Bordeaux University, France (since 2013)labri.fr의 이메일 확인됨

Théo MATRICON

Phd Student, LaBRI, Bordeaux University

labri.fr의 이메일 확인됨 - 홈페이지


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Scaling neural program synthesis with distribution-based search N Fijalkow, G Lagarde, T Matricon, K Ellis, P Ohlmann, AN Potta Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6623-6630, 2022	8	2022
Statistical comparison of algorithm performance through instance selection T Matricon, M Anastacio, N Fijalkow, L Simon, HH Hoos 27th International Conference on Principles and Practice of Constraint …, 2021	3	2021
Challenges of acquiring compositional inductive biases via meta-learning M Anastacio, T Matricon, H Hoos ECMLPKDD Workshop on Meta-Knowledge Transfer, 11-23, 2022	1	2022
DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search T Matricon, N Fijalkow, G Lagarde, K Ellis Journal of Open Source Software 7 (78), 4151, 2022	1	2022
Theoretical foundations for programmatic reinforcement learning G Shabadi, N Fijalkow, T Matricon arXiv preprint arXiv:2402.11650, 2024		2024
WikiCoder: Learning to Write Knowledge-Powered Code T Matricon, N Fijalkow, G Margueritte International Symposium on Model Checking Software, 123-140, 2023		2023

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