Flow-based generative model: Difference between revisions

Revision as of 13:54, 10 June 2025

Revision as of 15:33, 10 June 2025

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\mathbf x'\mathbf{T_x}=\boldsymbol0\;\Longrightarrow\;\mathbf F_\mathbf x^\text{aff}\mathbf{T_x} = \mathbf F_\mathbf x^\text{lin}\mathbf{T_x}

</math>

where it should be noted that <math>\mathbf F_\mathbf x^\text{lin}=\lVert\mathbf{Mx}+\mathbf c\rVert^{-1}(\mathbf I_n-\mathbf{yy}')(\mathbf{M+cx}')</math> is the Jacobian of <math>f_\text{lin}</math> differentiated w.r.t. its input, but ''not'' also w.r.t. to its parameter.

== Downsides ==