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Michael Palma Mendes

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#machine learning Preprint Sep 2026

Breaking the Central Bias: Spatially Partitioned Experts for Coordinate-Based Neuroevolution

Inspired by Mixture-of-Experts (MoE) principles, Evolvable-Substrate HyperNEAT is partitioned into non-overlapping spatial segments, each assigned to a separately evolved specialist network, which forces evolution to discover features across the entire image.

Romain Claret, Arthur Gygax, Michael O'Neill et al. · 2 citations

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