Author

Kiante Fernandez

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#machine learning Preprint Sep 2026

Recovery-Directed Symbolic Distillation of Neural Likelihoods

This work introduces a symbolic distillation pipeline that converts trained neural likelihoods into explicit, interpretable expressions optimized for efficient parameter estimation, and uses a recovery-directed objective to guide symbolic regression toward expressions that preserve parameter-recovery accuracy.

Kiante Fernandez, Xin-Wei Li · 0 citations