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Self-normalizing networks: SELU moment stabilization

Designed scaled exponential-linear activations and compatible initialization to attract layerwise activation mean/variance toward a stable region under an analyzed moment map.

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Designed scaled exponential-linear activations and compatible initialization to attract layerwise activation mean/variance toward a stable region under an analyzed moment map.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

General ML architecture despite author affiliation and incidental application examples; no biological results entered. Moment analysis uses independent/common-moment inputs and Gaussian preactivation approximation with bounded parameter regions. Not universal self-normalization for arbitrary correlated architectures/weights, nor proof that all gradients can never vanish or explode. Only selected pages of102pagev1read.

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People and systems

Günter Klambauer; Thomas Unterthiner; Andreas Mayr; Sepp Hochreiter

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

Self-normalizing networks: SELU moment stabilization

Designed scaled exponential-linear activations and compatible initialization to attract layerwise activation mean/variance toward a stable region under an analyzed moment map.

Scientific scope

General ML architecture despite author affiliation and incidental application examples; no biological results entered. Moment analysis uses independent/common-moment inputs and Gaussian preactivation approximation with bounded parameter regions. Not universal self-normalization for arbitrary correlated architectures/weights, nor proof that all gradients can never vanish or explode. Only selected pages of102pagev1read.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Günter Klambauer; Thomas Unterthiner; Andreas Mayr; Sepp Hochreiter

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources