Extrapolation of Periodic Functions Using Binary Encoding of Continuous Numerical Values

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📝 Original Info

  • Title: Extrapolation of Periodic Functions Using Binary Encoding of Continuous Numerical Values
  • ArXiv ID: 2512.10817
  • Date: 2025-12-11
  • Authors: Brian P. Powell, Jordan A. Caraballo-Vega, Mark L. Carroll, Thomas Maxwell, Andrew Ptak, Greg Olmschenk, Jorge Martinez-Palomera

📝 Abstract

We report the discovery that binary encoding allows neural networks to extrapolate periodic functions beyond their training bounds. We introduce Normalized Base-2 Encoding (NB2E) as a method for encoding continuous numerical values and demonstrate that, using this input encoding, vanilla multi-layer perceptrons (MLP) successfully extrapolate diverse periodic signals without prior knowledge of their functional form. Internal activation analysis reveals that NB2E induces bit-phase representations, enabling MLPs to learn and extrapolate signal structure independently of position.

📄 Full Content

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