cs.NE · 2026-09-11 · No. 112

Neural and Evolutionary Computing, 2026-09-11.

1 new papers in cs.NE. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

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

    Romain Claret, Arthur Gygax, Michael O'Neill, Paul Cotofrei, Michael Palma Mendes, Pascal Felber

    cs.NE · cs.CV · cs.LG

    Evolvable-Substrate HyperNEAT (ES-HyperNEAT), a bio-inspired indirect encoding that determines neuron placement and connection weights from spatial coordinates, exhibits a failure mode on MNIST as a diagnostic benchmark. Because input pixels map to a coordinate space centered at the origin, evolved networks converge on a small central cluster of input pixels, a spatial-concentration bias; prior work observed only 21% mean accuracy in this...

    arxiv.org/abs/2609.11518 · PDF

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