Gradient flow on deep diagonal linear LDA networks with balanced initialization converts additive updates to multiplicative updates, automatically conserving the (2/L) quasi-norm.
Annals of Eugenics7(2), 179–188 (1936)
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Branching path statistics are cast into Navier-Stokes nonlinear transport to produce new propagator representations and backward Monte Carlo algorithms for confined fluid flows.
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Implicit Bias in Deep Linear Discriminant Analysis
Gradient flow on deep diagonal linear LDA networks with balanced initialization converts additive updates to multiplicative updates, automatically conserving the (2/L) quasi-norm.
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Branching Paths Statistics for confined Flows : Adressing Navier-Stokes Nonlinear Transport
Branching path statistics are cast into Navier-Stokes nonlinear transport to produce new propagator representations and backward Monte Carlo algorithms for confined fluid flows.