Shallow-network approximation beyond the regime n < (d+3)/2 and p >= 2
Extend the approximation results for shallow path-norm-constrained ReLU networks to Sobolev smoothness n >= (d+3)/2 and to integrability exponents 1 <= p < 2, while retaining approximation-error guarantees in the W^{1,p}-norm.
References
Extending the results for shallow norm constrained networks to the cases n \ge (d+3)/2 or 1\le p<2 and whether deep norm constrained networks can achieve even better approximation rates remain interesting open problems.
— Error bounds in Sobolev norms for approximations with norm constrained ReLU neural networks
(2609.19937 - Li et al., 17 Sep 2026) in Remark 2.14 (remark labeled Theoremimple), Section 2