H. Lira

Prior-Informed Symbolic Regression for Multiview Scientific Discovery

This work presents a multiview symbolic regression method that decomposes predictions into a shared core equation and view-specific residual corrections, and demonstrates that effective multiview symbolic regression depends more on appropriate initialization of the search space than on sophisticated search operators.