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While SiegelNetBN is more time-consuming than SiegelNetFC, mainly due to the computation of the Fr´echet mean in the BN layer, the former still scales well with the dimensionality of input data, the scale factor of the computation times · 2018

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Batch Normalization for Neural Networks on Complex Domains

cs.LG · 2026-05-01 · unverdicted · novelty 6.0

Batch normalization layers are introduced for neural networks on complex domains with practical implementations for the Siegel disk and tested on radar, graph, and action recognition tasks.

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  • Batch Normalization for Neural Networks on Complex Domains cs.LG · 2026-05-01 · unverdicted · none · ref 26

    Batch normalization layers are introduced for neural networks on complex domains with practical implementations for the Siegel disk and tested on radar, graph, and action recognition tasks.