DeepONet: Single Hidden-Layer Networks Approximate Nonlinear Operators

The community revisits DeepONet (arXiv:1910.03193), the classic 2019 paper by Lu Lu, Pengzhan Jin and George Em Karniadakis. Its dual-branch network learns operators, showing a single hidden-layer network can approximate arbitrary nonlinear operators with significantly reduced generalization error.

2026-09-03 ~ 2026-09-03 · 2 related posts

• DeepONet revisited: single hidden layer nets can approximate any nonlinear operator — burny_tech · 2026-09-03

1 near-duplicate retellings: burny_tech