most citedGeneralization error bound for denoising score matching under relaxed manifold assumption

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Simultaneous Approximation of the Score Function and Its Derivatives by Deep Neural Networks

Konstantin Yakovlev, Nikita Puchkin

We present a theory for simultaneous approximation of the score function and its derivatives, enabling the handling of data distributions with low-dimensional structure and unbound…