Introduction on Program Synthesis For Data Science
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Program Synthesis for the Masses
SYNT 2020: Neuro-Symbolic Program Synthesis from Natural Language and Demonstrations
Ulrich Schaechtle: Automated data modeling for science via Bayesian synthesis
The Four Big Bets (Illustrated via a Journey in Program Synthesis)
Program Synthesis meets Machine Learning by Sriram Rajamani
Exploring Program Synthesis: Francois Chollet, Kevin Ellis, Zenna Tavares
An Introduction to (Inductive) Program Synthesis, by Ali Shokri
Interpretable Program Synthesis
Learning based Program Synthesis, Xinyun Chen, Google Research
Gauss: Program Synthesis by Reasoning Over Graphs
AutoPandas: Neural-Backed Generators for Program Synthesis
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Last Updated: August 15, 2026
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