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Connecting Parameters and Hessian Eigenspaces in Deep Learning
Paper published in TMLR (2025)
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Understanding Wiener Deconvolution
Direct derivation, interpretation of assumptions, characterization of error bounds and code with examples
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The Orthogonal Matching Pursuit Update Step
Auxiliary derivation and explanation
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Feature Map of the Gaussian RBF Kernel
Explicit expression with direct proof
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Factorization of a Multivariate Normal Distribution
A mathematical proof and brief explanation