f(x) = p_0 + p_1 x + \ldots + p_P x^P = \sum\limits_{i=0}^{P} p_i x^i to given data :math:`y`. The unknown model is the coefficient vector :math:`{\bf m}=[p_0,\ldots,p_P]`. packages for numerical ...
Abstract: Implicit neural representations (INRs) have recently gained popularity as a means to model images as continuous functions of spatial coordinates, synthesizing each pixel independently and ...
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