04:00
2026-06-16
arxiv.org
machine-learning
Separable Neural Architectures as Physical World Models: from Mathematical Theory to Applications
Researchers introduced the Separable Neural Architecture (SNA), a function representational class combining neural approximation with tensor decomposition, which decouples localized coordinate functio…