A Power Transform
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Abstract (arXiv)
Power transforms, such as the Box-Cox transform and Tukey's ladder of powers, are a fundamental tool in mathematics and statistics. These transforms are primarily used for normalizing and standardizing datasets, effectively by raising values to a power. In this work I present a novel power transform, and I show that it serves as a unifying framework for wide family of loss functions, kernel functions, probability distributions, bump functions, and neural network activation functions.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 19 references that are in the map. First posted on arXiv 15 Feb 2025.
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References · 3
- 2015Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)cited by 1,070
- 2023Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fieldscited by 671
- 2017A General and Adaptive Robust Loss Functioncited by 236
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