Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On the validity of kernel approximations for orthogonally-initialized
  neural networks   In this note we extend kernel function approximation results for neural
networks with Gaussian-distributed weights to single-layer networks initialized
using Haar-distributed random orthogonal matrices (with possible rescaling).
This is accomplished using recent results from random matrix theory.

37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
15
The categories of this paper are: nucl-ex
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom