dCGPANN encodes neural nets so evolutionary operators can rewire, prune, adapt activations and add skips while gradient descent tunes parameters, yielding smaller networks with lower regression error in fixed time.
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Neural Network Architecture Search with Differentiable Cartesian Genetic Programming for Regression
dCGPANN encodes neural nets so evolutionary operators can rewire, prune, adapt activations and add skips while gradient descent tunes parameters, yielding smaller networks with lower regression error in fixed time.