Author

Md Sakib Hossain Shovon

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Preprint Aug 2026

Orthogonal Polynomial Approximation for Matrix Log Normalization in Global Covariance Pooling

The decomposition-free logarithm is both faster and more accurate than the spectral logarithm and than the square-root approximations it replaces, and at matched basis and degree the log target beats the square-root target, confirming that the gain comes from the faithful Riemannian map rather than from a better polyno...

Md Rifat Ur Rahman, Md Raihan Khan, Md Sakib Hossain Shovon et al. · 0 citations

#machine learning Preprint Aug 2026

I-SplineFlow: Learning Monotone Spline Stochastic Interpolant Schedulers for Few-Step Generation

I-SplineFlow is introduced, which parameterizes the scheduler with integrated monotone splines (I-splines), and improves few-step FID over B\'ezier scheduling in most settings, most clearly at the lowest NFEs, and trains in minutes.

Md Sakib Hossain Shovon, Md Rifat Ur Rahman, Md Abtahi Majeed Chowdhury et al. · 0 citations

Preprint Aug 2026

Orthogonal Polynomial Approximation for Matrix Log Normalization in Global Covariance Pooling

Global Covariance Pooling (GCP) improves deep networks by capturing second-order feature statistics, and is especially effective for fine-grained recognition. Because covariance matrices live on the Symmetric Positive Definite (SPD) manifold, a normalization step is required before the Euclidean classifier. The faithfu...

Md Rifat Ur Rahman, Md Raihan Khan, Md Sakib Hossain Shovon et al. · 0 citations