Regularizing neural network teachers for functional smoothness with Jacobian and Lipschitz penalties yields statistically significant gains in R^2 for genetic programming-based symbolic students on 20 datasets.
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Teaching the Teacher: The Role of Teacher-Student Smoothness Alignment in Genetic Programming-based Symbolic Distillation
Regularizing neural network teachers for functional smoothness with Jacobian and Lipschitz penalties yields statistically significant gains in R^2 for genetic programming-based symbolic students on 20 datasets.