NOFE – Neural Operator Function Embedding

NOFE introduces a continuous neural operator framework for function dimensionality reduction that outperforms PCA, t-SNE, and UMAP in local structure preservation and sampling-independent embeddings.

Lars Uebbing, Harald Lykke Joakimsen, Siyan Chen, Georgios Leontidis and 5 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026