A shared-backbone neuro-evolutionary symbolic regression method improves cross-output physical consistency when a common factor is weakly identifiable per output, and deliberately does not beat independent regression on identifiable problems.
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Shared Symbolic Backbones for Physically Consistent Multi-Output Symbolic Regression
A shared-backbone neuro-evolutionary symbolic regression method improves cross-output physical consistency when a common factor is weakly identifiable per output, and deliberately does not beat independent regression on identifiable problems.