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Michael O'Neill

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#artificial intelligence Book Open access Jul 2026

Tensor-Accelerated Eager Multi-Resolution Grids for Evolving Large-Scale Substrates

This work presents Eager Multi-Resolution HyperNEAT (EMR-HyperNEAT), which reformulates adaptive substrate discovery as a batch tensor operation: shared position grids are precomputed for all depths, every position is evaluated in one vectorized CPPN call, then the same variance criterion filters the output.

Romain Claret, Michael O'Neill, Paul Cotofrei et al. · 0 citations