DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search

Python Slash Submitted 25 January 2022Published 16 October 2022
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Editor: @arfon (all papers)
Reviewers: @njuaplusplus (all reviews), @bzz (all reviews)

Authors

Théo Matricon (0000-0002-5043-3221), Nathanaël Fijalkow (0000-0002-6576-4680), Guillaume Lagarde, Kevin Ellis

Citation

Matricon et al., (2022). DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search. Journal of Open Source Software, 7(78), 4151, https://doi.org/10.21105/joss.04151

@article{Matricon2022, doi = {10.21105/joss.04151}, url = {https://doi.org/10.21105/joss.04151}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {78}, pages = {4151}, author = {Théo Matricon and Nathanaël Fijalkow and Guillaume Lagarde and Kevin Ellis}, title = {DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search}, journal = {Journal of Open Source Software} }
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program synthesis programming by example neuro-symbolic methods parallel search procedures

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ISSN 2475-9066