EGD transforms a layer gradient G as (GG^T)^(-1/2)G (using pseudoinverses when rank deficient), preserving its singular vectors while setting every retained singular value to 1; the paper describes this as a whitened form of natural gradient descent.

EGD transforms a layer gradient G as (GG^T)^(-1/2)G (using pseudoinverses when rank deficient), preserving its singular vectors while setting every retained singular value to 1; the paper describes this as a whitened form of natural gradient descent. · CiteArk

Measurement results

0/2 assessed

0 supported0 disputed or conflicting2 not assessed

The complete result group stays with its claim. Assessed rows come first; their judgments do not replace the whole-claim conclusion. Expand a row for conditions, sources, and evidence history.

Each row is a measurement with its reported value, latest available observation, and cumulative evidence state.
Metric and conditions	Reported	Latest observation	Evidence judgment
	1 dimensionless	—	Not assessed
	1 dimensionless	—	Not assessed

EGD transforms a layer gradient G as (GG^T)^(-1/2)G (using pseudoinverses when rank deficient), preserving its singular vectors while setting every retained singular value to 1; the paper describes this as a whitened form of natural gradient descent.

Reported and observed measurements

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Measurement results