S$^{2}$-PINN: Stochastic Separable Physics-Informed Neural Networks VS9KKQWEMX
| URI | m2://res/VS9KKQWEMX |
|---|---|
| Kind | preprint |
| Creators | Zhendong Li, Akwum Onwunta |
| Date | 2026-10-02 |
| Subjects | arxiv cs.LG, arxiv math-ph, arxiv math.MP |
| Scope | border |
Expressions
e1: version, preprint
| Date | 2026-10-02 |
|---|---|
| Ids | arXiv 2610.03303 |
Items in this resource
The mentions of the inventory that name this resource. Each name links to the card of its inventory row.
| Item | Kind | Where | Source |
|---|---|---|---|
| Projection–Galerkin equivalence in $L^{2}(\mathbf{Z})$ | statement | theorem B.3 | arxiv |
| Parameter and arithmetic complexity | statement | theorem B.9 | arxiv |
| Concentration of the sample Gram | statement | theorem B.8 | arxiv |
| 9WM1C1DN1Y | statement | theorem 3.1 | arxiv |
| Near-orthogonality $\Rightarrow$ bounded condition number | statement | theorem B.7 | arxiv |
| EA1AR4PVWR | statement | lemma | arxiv |
| Density of finite-rank separable sums | statement | theorem B.2 | arxiv |
| Gauge invariance and normalization | statement | theorem B.10 | arxiv |
| Uniform concentration over $g$ | statement | theorem B.5 | arxiv |
| Mini-batch estimator: unbiasedness and variance | statement | theorem B.4 | arxiv |
Catalogue records
- arxiv: 2610.03303 (work)