Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Neural Information Processing Systems 

On a number of common benchmark tasks to recover underlying expressions from a dataset, our method recovers 65% more expressions than a recently published top-performing model using the same experimental setup.

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