Neurosymbolic

Neuro-Symbolic Activation Discovery: Transferring Mathematical Structures from Physics to Ecology for Parameter-Efficient Neural Networks

Using genetic programming, the author mines custom activation functions from physics data and reuses them in ecology models. These bespoke activations match accuracy with far fewer parameters.