23 citations · 28 across the 8 of their papers we have counts for
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cs.LG2024
Towards an Algebraic Framework For Approximating Functions Using Neural Network Polynomials
Shakil Rafi, Joshua Lee Padgett, Ukash Nakarmi
We make the case for neural network objects and extend an already existing neural network calculus explained in detail in Chapter 2 on \cite{bigbook}. Our aim will be to show that,…
cs.LG2020
Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case
Gaurav N. Shetty, Konstantinos Slavakis, Ukash Nakarmi +2
This paper establishes a kernel-based framework for reconstructing data on manifolds, tailored to fit the dynamic-(d)MRI-data recovery problem. The proposed methodology exploits si…