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New paper details EML operator variants and Möbius layers

By PulseAugur Editorial · [1 sources] ·

A new paper explores the diversity of EML-type operators, which are sufficient to evaluate standard elementary functions. The research enumerates and classifies various EML variants, aiming to clarify misconceptions about the operator. While symbolic regression within a neural network architecture remains elusive, the paper proposes a Möbius layer using rational functions and introduces the eml(x,1/x) activation function, which enables the recovery of exp(x) and ln(x) separately. AI

IMPACT This research explores novel activation functions and network architectures that could influence future AI model development.

RANK_REASON The cluster contains a single academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New paper details EML operator variants and Möbius layers

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The cluster contains a single academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Andrzej Odrzywo{\l}ek ·

    Diversity of EML-type operators

    arXiv:2609.11210v1 Announce Type: cross Abstract: The discovery of the EML operator, sufficient to evaluate the standard explicit purely transcendental elementary functions, has led to considerable interest and discussion across multiple scientific disciplines. However, most auth…

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