Gaussian Error Models
Gaussian Error Models is a statistical modeling framework that assumes the residual unexplained variability in observed data follows a normal (Gaussian) distribution, distinguishing it from other error models by its reliance on the properties of Gaussian noise to quantify uncertainty and estimate parameters.
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Gaussian Error ModelNormal Error ModelNormal Error Models
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Gaussian Error Linear Units (GELUs)
Dan Hendrycks, Kevin Gimpel · arXiv (Cornell University) · 2016 · 3.2K citations · Full text
J. Klafter, Michael F. Shlesinger, G. Zumofen · Physics Today · 1996 · 740 citations
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Texas A&M University
College Station, United States
3 h-index
6 publications
214 citations
Translational Genomics Research Institute
Phoenix, United States
3 h-index
3 publications
107 citations
ETH Zurich
Zurich, Switzerland
3 h-index
8 publications
1.4K citations
Stanford University
Stanford, United States
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6 publications
503 citations
Ludwig-Maximilians-Universität München
Munich, Germany
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3 publications
2K citations
Princeton University
Princeton, United States
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5 publications
516 citations
University of California, Berkeley
Berkeley, United States
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2 publications
577 citations
Friedrich Schiller University Jena
Jena, Germany
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2 publications
1.4K citations
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Repository · 4 publications · 4K citations
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3 publications · 427 citations
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ApJ · 2 publications · 228 citations
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2 publications · 286 citations
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