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A subspace-projection method is developed to construct orthogonal block variable, which is originally from some kinds of series of topological indices or quantum chemical parameters. With the help of ...
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 ...
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 ...
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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 ...
Generalized Minimum Residual (GMRES) is a popular Krylov subspace projection method for solving a large nonsymmetric linear system of equations. It computes the approximate solution with the minimum ...
The weight orthogonalization method demonstrates high ASR across various models, including the LLAMA-2 and QWEN families, even when the system prompts are designed to enforce safety and ethical ...
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To distinguish between these experiences in memory, unique traces are formed for each experience based on the orthogonalization of overlapping features – a process referred to as ‘pattern separation’.
To address this issue, it may be possible to augment the training dataset with an active-learning approach (62) or utilize other sophisticated semiempirical methods like OMx (semiempirical models with ...
Various arithmetic operations include tensor vector and tensor matrix products, element-wise operations, dot products, convolution, concatenation, mode reordering, padding, orthogonalization, and rank ...
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