A structure-aware symbolic regression framework combining multi-island genetic programming with reusable motif libraries reports state-of-the-art recovery rates on Nguyen and Feynman benchmarks, including 61% on Nguyen-12.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SymMatika: Structure-Aware Symbolic Discovery
A structure-aware symbolic regression framework combining multi-island genetic programming with reusable motif libraries reports state-of-the-art recovery rates on Nguyen and Feynman benchmarks, including 61% on Nguyen-12.