The paper proposes a robust B-spline decoupling framework using constrained coupled matrix-tensor factorization and the R-CMTF-BSD algorithm for compressing Vision and Swin Transformer models.
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Derives the distribution of the ratio of a non-central mean matrix and a sample covariance matrix, aligning with the _1F1 term in the univariate non-central t, with some matrix-variate extensions.
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Robust Basis Spline Decoupling for the Compression of Transformer Models
The paper proposes a robust B-spline decoupling framework using constrained coupled matrix-tensor factorization and the R-CMTF-BSD algorithm for compressing Vision and Swin Transformer models.
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On non-central distribution of the matrix ratio
Derives the distribution of the ratio of a non-central mean matrix and a sample covariance matrix, aligning with the _1F1 term in the univariate non-central t, with some matrix-variate extensions.