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Three known iterative orthogonalization processes, which are special cases of the general process, are analyzed, their convergence rate (order) is determined, and their range of convergence is ...

Mechanistic features of the DLPFC and PMd bottleneck: partial orthogonalization and selective propagation The multi-area RNN contains representations consistent with the IB principle — its input and ...

However, at much larger scales the iterative orthogonalization procedure present in muon may suffer a possible issue as the singular values of random matrices shrink with scale. This paper shows this ...

A popular approach to perform inference on a target parameter in the presence of nuisance parameters is to construct estimating equations that are orthogonal to the nuisance parameters, in the sense ...

Orthogonalization of spontaneous and stimulus-driven activity by hierarchical neocortical areal network in primates Journal: Nature Communications Published: 2024-12-04 DOI: 10.1038/s41467-024-54322-x ...

Add a description, image, and links to the mesh-orthogonalization topic page so that developers can more easily learn about it ...

5.1 Sparsely firing representations show orthogonalization necessary for associative memory Associative memory models require the patterns stored to be sparse orthogonal with minimal overlap, so that ...

Weight orthogonalization technique is simpler and more efficient than existing methods as it does not require gradient-based optimization or a dataset of harmful completions. The weight ...

Instead of applying CholeskyQR twice, where the first factor Q may not be fully orthogonal, each panel in this version undergoes complete orthogonalization before applying MGS to subsequent panels to ...