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Mixedpaper · 2026-04-10
“SNIP (Meidani et al., 2024), a contrastive pre-training model inspired by CLIP, advances LSO by introducing a multi-modal approach: aligning symbolic and numeric encoders in a shared latent space to learn the phenotype-genotype mapping, enabling optimization in the numeric space to implicitly guide symbolic search.”
Latent Space Optimization for Symbolic Regression: The Alignment Problem ↗